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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/data/datasets.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.422533 | """The pythae's Datasets inherit from
:class:`torch.utils.data.Dataset` and must be used to convert the data before
training. As of today, it only contains the :class:`pythae.data.BaseDatset` useful to train a
VAE model but other Datatsets will be added as models are added.
"""
from collections import OrderedDict
from ... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/data/preprocessors.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.440081 | """The purpose of the preprocessor is to ensure the data is not corrupted (no nan), reshape
it in case inconsistencies are detected, normalize it and converted it to a format handled by the
:class:`~pythae.trainers.Trainer`. In particular, an input data is converted to a
:class:`torch.Tensor` and all the data is gather... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.509080 | """
This is the heart of pythae!
Here are implemented some of the most common (Variational) Autoencoders models.
By convention, each implemented model is stored in a folder located in :class:`pythae.models`
and named likewise the model. The following modules can be found in this folder:
- | *modelname_config.py*: C... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/adversarial_ae/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.523566 | """Implementation of an Adversarial Autoencoder model as proposed in
(https://arxiv.org/abs/1511.05644). This model tries to make the posterior distribution match
the prior using adversarial training.
Available samplers
-------------------
.. autosummary::
~pythae.samplers.NormalSampler
~pythae.samplers.Gau... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/adversarial_ae/adversarial_ae_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.529372 | from pydantic.dataclasses import dataclass
from ..vae import VAEConfig
@dataclass
class Adversarial_AE_Config(VAEConfig):
"""Adversarial AE model config class.
Parameters:
input_dim (tuple): The input_data dimension.
latent_dim (int): The latent space dimension. Default: None.
recons... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/adversarial_ae/adversarial_ae_model.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.647251 | import inspect
import logging
import os
import warnings
from copy import deepcopy
from typing import Optional
import cloudpickle
import torch
import torch.nn.functional as F
from ...customexception import BadInheritanceError
from ...data.datasets import BaseDataset
from ..base.base_utils import CPU_Unpickler, ModelOu... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/ae/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.775515 | """Implementation of a Vanilla Autoencoder model.
Available samplers
-------------------
.. autosummary::
~pythae.samplers.NormalSampler
~pythae.samplers.GaussianMixtureSampler
~pythae.samplers.MAFSampler
~pythae.samplers.IAFSampler
:nosignatures:
"""
from .ae_config import AEConfig
from .ae_mod... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/ae/ae_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.810721 | from pydantic.dataclasses import dataclass
from ..base.base_config import BaseAEConfig
@dataclass
class AEConfig(BaseAEConfig):
"""This is the autoencoder model configuration instance deriving from
:class:`~BaseAEConfig`.
Parameters:
input_dim (tuple): The input_data dimension.
latent_di... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/ae/ae_model.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.835108 | import os
from typing import Optional
import torch.nn.functional as F
from ...data.datasets import BaseDataset
from ..base import BaseAE
from ..base.base_utils import ModelOutput
from ..nn import BaseDecoder, BaseEncoder
from ..nn.default_architectures import Encoder_AE_MLP
from .ae_config import AEConfig
class AE(... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/auto_model/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.884205 | """Utils class allowing to reload any :class:`pythae.models` automatically with the following
lines of code.
.. code-block::
>>> from pythae.models import AutoModel
>>> model = AutoModel.load_from_folder(dir_path='path/to/my_model')
"""
from .auto_config import AutoConfig
from .auto_model import AutoModel
|
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/auto_model/auto_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:03.989296 | from pydantic.dataclasses import dataclass
from pythae.config import BaseConfig
@dataclass
class AutoConfig(BaseConfig):
@classmethod
def from_json_file(cls, json_path):
"""Creates a :class:`~pythae.config.BaseAEConfig` instance from a JSON config file. It
builds automatically the correct con... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/auto_model/auto_model.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.007350 | import json
import logging
import os
import torch.nn as nn
from ..base.base_utils import hf_hub_is_available
logger = logging.getLogger(__name__)
console = logging.StreamHandler()
logger.addHandler(console)
logger.setLevel(logging.INFO)
class AutoModel(nn.Module):
"Utils class allowing to reload any :class:`py... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/base/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.050744 | """
**Abstract class**
This is the base AuteEncoder architecture module from which all future autoencoder based
models should inherit.
It contains:
- | a :class:`~pythae.models.base.base_config.BaseAEConfig` instance containing the main model's
parameters (*e.g.* latent dimension ...)
- | a :class:`~pythae.model... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/base/base_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.064694 | from typing import Tuple, Union
from pydantic.dataclasses import dataclass
from pythae.config import BaseConfig
@dataclass
class BaseAEConfig(BaseConfig):
"""This is the base configuration instance of the models deriving from
:class:`~pythae.config.BaseConfig`.
Parameters:
input_dim (tuple): Th... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/base/base_model.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.112778 | import inspect
import logging
import os
import shutil
import sys
import tempfile
import warnings
from copy import deepcopy
from http.cookiejar import LoadError
from typing import Optional
import cloudpickle
import torch
import torch.nn as nn
from ...customexception import BadInheritanceError
from ...data.datasets imp... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/base/base_utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.166935 | import importlib
import io
import logging
from collections import OrderedDict
from typing import Any, Tuple
try:
import pickle5 as pickle
except:
import pickle
import torch
logger = logging.getLogger(__name__)
console = logging.StreamHandler()
logger.addHandler(console)
logger.setLevel(logging.INFO)
model_ca... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/beta_tc_vae/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.312398 | """This module is the implementation of the BetaTCVAE proposed in
(https://arxiv.org/abs/1802.04942).
Available samplers
-------------------
.. autosummary::
~pythae.samplers.NormalSampler
~pythae.samplers.GaussianMixtureSampler
~pythae.samplers.TwoStageVAESampler
~pythae.samplers.MAFSampler
~pyt... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/beta_tc_vae/beta_tc_vae_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.352143 | from pydantic.dataclasses import dataclass
from ..vae import VAEConfig
@dataclass
class BetaTCVAEConfig(VAEConfig):
r"""
:math:`\beta`-TCVAE model config config class
Parameters:
input_dim (tuple): The input_data dimension.
latent_dim (int): The latent space dimension. Default: None.
... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/beta_tc_vae/beta_tc_vae_model.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.382430 | import os
from typing import Optional
import numpy as np
import torch
import torch.nn.functional as F
from ...data.datasets import BaseDataset
from ..base.base_utils import ModelOutput
from ..nn import BaseDecoder, BaseEncoder
from ..vae import VAE
from .beta_tc_vae_config import BetaTCVAEConfig
class BetaTCVAE(VAE... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/beta_vae/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.423231 | """This module is the implementation of the BetaVAE proposed in
(https://openreview.net/pdf?id=Sy2fzU9gl).
This model adds a new parameter to the VAE loss function balancing the weight of the
reconstruction term and KL term.
Available samplers
-------------------
.. autosummary::
~pythae.samplers.NormalSampler
... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/beta_vae/beta_vae_model.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.574102 | import os
from typing import Optional
import torch
import torch.nn.functional as F
from ...data.datasets import BaseDataset
from ..base.base_utils import ModelOutput
from ..nn import BaseDecoder, BaseEncoder
from ..vae import VAE
from .beta_vae_config import BetaVAEConfig
class BetaVAE(VAE):
r"""
:math:`\be... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/beta_vae/beta_vae_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.574695 | from pydantic.dataclasses import dataclass
from ..vae import VAEConfig
@dataclass
class BetaVAEConfig(VAEConfig):
r"""
:math:`\beta`-VAE model config config class
Parameters:
input_dim (tuple): The input_data dimension.
latent_dim (int): The latent space dimension. Default: None.
... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/ciwae/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.627763 | """This module is the implementation of the Combination Importance Weighted Autoencoder
proposed in (https://arxiv.org/abs/1802.04537).
Available samplers
-------------------
.. autosummary::
~pythae.samplers.NormalSampler
~pythae.samplers.GaussianMixtureSampler
~pythae.samplers.TwoStageVAESampler
~py... |
clementchadebec/benchmark_VAE | https://github.com/clementchadebec/benchmark_VAE | null | null | null | null | 1,990 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/pythae/models/ciwae/ciwae_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:04.628625 | from pydantic.dataclasses import dataclass
from ..vae import VAEConfig
@dataclass
class CIWAEConfig(VAEConfig):
"""Combination IWAE model config class.
Parameters:
input_dim (tuple): The input_data dimension.
latent_dim (int): The latent space dimension. Default: None.
reconstruction... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/renderer.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.236513 | """Renderer for MyST with Bytewax formatting customizations."""
from __future__ import annotations
import re
import typing as t
import typing_extensions as te
from autodoc2.render.myst_ import MystRenderer
from autodoc2.utils import ItemData
_BASE_SPLIT = re.compile(r"(\s*[\[\]\(\),]+\s*)")
class BytewaxRenderer(... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/tutorials/introducing-windowing/session_dataflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.245025 | """This script demonstrates how to use windowing operators in a dataflow."""
# start-imports
from datetime import datetime, timedelta, timezone
from pathlib import Path
import bytewax.operators as op
from bytewax.connectors.files import CSVSource
from bytewax.dataflow import Dataflow
from bytewax.operators.windowing ... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/tutorials/introducing-windowing/sliding_dataflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.247228 | """This script demonstrates how to use windowing operators in a dataflow."""
# start-imports
from datetime import datetime, timedelta, timezone
from pathlib import Path
import bytewax.operators as op
from bytewax.connectors.files import CSVSource
from bytewax.dataflow import Dataflow
from bytewax.operators.windowing ... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/tutorials/profiling-time-series-data/timeseries_dataflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.248241 | """Setup a dataflow for profiling time series data.
This script sets up a dataflow that reads in a CSV file containing time series data
and profiles the data in hourly windows. The data is read in from a CSV file and
parsed to extract the timestamp. The data is then windowed into hourly windows and
accumulated. The ac... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/tutorials/introducing-operators/stateless_operators_dataflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.249297 | """This script demonstrates how to use stateless operators in a dataflow."""
# start-imports
from pathlib import Path
import bytewax.operators as op
from bytewax.connectors.files import CSVSource
from bytewax.dataflow import Dataflow
from bytewax.operators import StatefulBatchLogic
# end-imports
# start-dataflow
# ... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/intersphinxdump.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.250134 | """Dumps all the known configured intersphinx references to stdout.
You can then pipe this through `fzf` to find the one you want.
The output is in the [MyST xref
format](https://myst-parser.readthedocs.io/en/latest/syntax/cross-referencing.html#cross-project-intersphinx-links).
So you might need to munge the output ... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/tutorials/handling-missing-data/missing_data_dataflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.261556 | """Setup a dataflow for handling missing data in a stream of numbers.
This example demonstrates how to use the bytewax library to create a dataflow
that processes a stream of numbers, where every 5th number is missing (represented
by np.nan). The dataflow uses a stateful operator to impute the missing values
using a w... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/conf.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.290856 | # noqa: D100
# Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import os
import re
import sys
from typing import Optional
import docutils.nodes as dn
import sphinx.ad... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/tutorials/introducing-windowing/tumbling_dataflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.330817 | """This script demonstrates how to use windowing operators in a dataflow."""
# start-imports
from datetime import datetime, timedelta, timezone
from pathlib import Path
import bytewax.operators as op
from bytewax.connectors.files import CSVSource
from bytewax.dataflow import Dataflow
from bytewax.operators.windowing ... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/tutorials/orderbook-guide/orderbook_dataflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.475402 | """Setup a dataflow to process orderbook data from the Coinbase websocket.
This script sets up a dataflow to process orderbook data from the Coinbase
websocket. It connects to the websocket and subscribes to the level2_batch
channel for the given product_ids. It then processes the messages as they
arrive and calculate... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/tutorials/recoverable-shopping-cart/recoverable_dataflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.784972 | """Setup a recoverable dataflow to join shopping cart events.
This example demonstrates how to use the bytewax library to create a recoverable
dataflow that processes a stream of shopping cart events. The dataflow uses a
stateful operator to join shopping cart events and summarize the shopping cart
state for each user... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/tutorials/search-logs/dataflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.805170 | """Setup a dataflow for processing search log events using Bytewax.
This module creates and configures a Dataflow to compute the Click-Through Rate (CTR)
based on user interactions from simulated event logs. Each user's actions, such as
searches, viewing results, and clicks, are tracked and processed to calculate
metr... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/anomaly_detector.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.836539 | from dataclasses import dataclass, field
from typing import List, Optional
import bytewax.operators as op
from bytewax.connectors.demo import RandomMetricSource
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
flow = Dataflow("anomaly_detector")
metric1 = op.input("inp_v", flow, R... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/apriori.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.849016 | import itertools
from typing import List
import bytewax.operators as op
from bytewax.connectors.files import FileSource
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
flow = Dataflow("apriori")
inp = op.input("inp", flow, FileSource("examples/sample_data/apriori.txt"))
def tok... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/1brc.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.862407 | # See https://github.com/gunnarmorling/1brc for how to generate the
# input file. Unfortunately it is 13 GB so it can't be included here.
#
# USAGE: `BRC_FILE=~/bytewax/1brc/measurements.txt python -m
# bytewax.run examples.1brc` Set the `BRC_FILE` env var to change the
# input file. Multiple worker processes can be us... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/basic.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.870505 | import bytewax.operators as op
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
from bytewax.testing import TestingSource
def double(x: int) -> int:
return x * 2
def halve(x: int) -> int:
return x // 2
def minus_one(x: int) -> int:
return x - 1
def stringy(x: int... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/batch_operator.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.871451 | """Showcase the use of the `batch` operator.
The operator can be used to batch items, with both a size limit
and a timeout.
`flow.batch` is a stateful operator, so you need to add a key to each
element for proper routing.
To show its abilities, we use an input that simulates a periodic source,
with events coming in ... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/benchmark_windowing.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:07.898725 | import random
from datetime import datetime, timedelta, timezone
import bytewax.operators as op
import bytewax.operators.windowing as w
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
from bytewax.operators.windowing import EventClock, TumblingWindower
from bytewax.testing import ... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/confluent_serde.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.005742 | """
Serialization and deserialization using confluent's schema registry
and confluent's wire avro format.
The schems used for this example are the following:
- Subject `sensor-key`:
{
"type": "record",
"name": "sensor_key",
"fields": [
{"name": "identifier", "type": "string", "... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/csv_input.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.525402 | from pathlib import Path
from bytewax import operators as op
from bytewax.connectors.files import CSVSource
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
flow = Dataflow("csv_input")
stream = op.input("inp", flow, CSVSource(Path("examples/sample_data/ec2_metrics.csv")))
op.outp... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/events_to_parquet.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.526940 | import json
from datetime import datetime, timedelta
from typing import Any, List, Optional
# pip install pandas pyarrow fake-web-events
from bytewax import operators as op
from bytewax.dataflow import Dataflow
from bytewax.inputs import FixedPartitionedSource, StatefulSourcePartition
from bytewax.outputs import Fixed... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/periodic_input.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.529580 | from datetime import datetime, timedelta, timezone
from bytewax import operators as op
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
from bytewax.inputs import (
DynamicSource,
FixedPartitionedSource,
StatefulSourcePartition,
StatelessSourcePartition,
)
class P... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/event_time_processing.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.531089 | #!/usr/bin/env python
# coding: utf-8
###################
# ---IMPORTANT--- #
###################
# To run this example you'll need a Kafka (or redpanda) cluster.
# Create a topic with using the `create_temperature_events` function
# in examples/example_utils/topics_helper.py:
#
# ```python
# from utils.topics_helper ... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/orderbook.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.532077 | import json
from dataclasses import dataclass, field
from datetime import timedelta
from typing import Dict, List, Optional
import websockets
from bytewax import operators as op
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
from bytewax.inputs import FixedPartitionedSource, Stat... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/join.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.533043 | from bytewax import operators as op
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
from bytewax.testing import TestingSource
flow = Dataflow("join")
def key_getter(x):
return str(x["user_id"])
inp1 = op.input("inp1", flow, TestingSource([{"user_id": 123, "name": "Bumble"}... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/partials.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.534160 | import functools
import bytewax.operators as op
from bytewax.dataflow import Dataflow, Stream, operator
from bytewax.testing import TestingSource
def add_one(x: int) -> int:
return x + 1
v1 = lambda step_id, up: op.map(step_id, up, add_one)
def v2(step_id, up):
return op.map(step_id, up, add_one)
v3 = ... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/custom_metrics.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.534663 | from datetime import datetime, timedelta, timezone
from typing import Dict
from bytewax import operators as op
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
from bytewax.inputs import (
DynamicSource,
StatelessSourcePartition,
)
from prometheus_client import Gauge
NEXT_... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/poll_and_split.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.555079 | import logging
from datetime import timedelta
from typing import Optional
import requests
from bytewax import operators as op
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
from bytewax.inputs import SimplePollingSource
logging.basicConfig(level=logging.INFO)
logger = logging.ge... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/redpanda_anomaly_detection.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:08.693053 | #!/usr/bin/env python
# coding: utf-8
###################
# ---IMPORTANT--- #
###################
# To run this example you will need to run a Redpanda cluster -
# https://docs.redpanda.com/ and create a stream using the file in
# examples/utils/topics_helper.py
import json
from bytewax import operators as op
from b... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/utils/topics_helper.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:09.309629 | import concurrent.futures
import json
import math
from datetime import datetime, timedelta, timezone
from random import random
from time import sleep
# pip install pandas confluent-kafka fake-web-events
import pandas as pd
from confluent_kafka import Producer
from confluent_kafka.admin import AdminClient, NewTopic
fro... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/search_session.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:09.319807 | import operator
from dataclasses import dataclass
from datetime import datetime, timedelta, timezone
from typing import List
from bytewax import operators as op
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
from bytewax.operators import windowing as win
from bytewax.operators.wi... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/redpanda_serde.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:09.320453 | """
Serialization and deserialization using redpanda's schema registry
and plain avro format.
The schems used for this example are the following:
- Subject `sensor-key`:
{
"type": "record",
"name": "sensor_key",
"fields": [
{"name": "identifier", "type": "string", "logicalType"... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/tracing.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:09.322758 | import os
import time
from typing import Generator
from bytewax import operators as op
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
from bytewax.testing import TestingSource
from bytewax.tracing import OtlpTracingConfig, setup_tracing
tracer = setup_tracing(
tracing_config... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/simple_kafka_in_and_out.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:09.323647 | from bytewax import operators as op
from bytewax.connectors.kafka import operators as kop
from bytewax.dataflow import Dataflow
BROKERS = ["localhost:19092"]
IN_TOPICS = ["in_topic"]
OUT_TOPIC = "out_topic"
flow = Dataflow("kafka_in_out")
kinp = kop.input("inp", flow, brokers=BROKERS, topics=IN_TOPICS)
op.inspect("in... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/wikistream.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:09.324942 | import json
from datetime import datetime, timedelta, timezone
from typing import List, Optional, Tuple
import bytewax.operators as op
import bytewax.operators.windowing as win
# pip install aiohttp-sse-client
from aiohttp_sse_client.client import EventSource
from bytewax.connectors.stdio import StdOutSink
from bytew... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/split_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:09.339417 | from dataclasses import dataclass
from datetime import timedelta
from random import choice
from typing import Dict
from bytewax import operators as op
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
from bytewax.inputs import SimplePollingSource
@dataclass
class Msg:
key: st... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/wordcount.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:09.516875 | import re
import bytewax.operators as op
from bytewax.connectors.files import FileSource
from bytewax.connectors.stdio import StdOutSink
from bytewax.dataflow import Dataflow
def lower(line):
return line.lower()
def tokenize(line):
return re.findall(r'[^\s!,.?":;0-9]+', line)
flow = Dataflow("wordcount")... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/_metrics.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:09.544115 | """Interfaces for custom metrics."""
from prometheus_client import REGISTRY
from prometheus_client.exposition import generate_latest
def generate_python_metrics() -> str:
"""Generate Prometheus compatible metrics from the Python registry."""
return generate_latest(REGISTRY).decode("utf-8")
|
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/connectors/kafka/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:10.125902 | """Connectors for [Kafka](https://kafka.apache.org).
Importing this module requires the
[`confluent-kafka`](https://github.com/confluentinc/confluent-kafka-python)
package to be installed.
The input source returns a stream of
{py:obj}`~bytewax.connectors.kafka.KafkaSourceMessage`. See the
docstring for its use.
You ... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/_utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:10.143675 | """Small generic utility functions."""
from typing import Callable, Iterable, List, Tuple, TypeVar
X = TypeVar("X")
def partition(
it: Iterable[X], predicate: Callable[[X], bool]
) -> Tuple[List[X], List[X]]:
"""Split an iterable in two based on a predicate.
:arg it: Input iterable.
:arg predicate... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/connectors/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:10.217319 | """Connectors for IO with external systems.
See {py:obj}`bytewax.inputs` and {py:obj}`bytewax.outputs` for the
lower level primitives to implement your own connector.
"""
|
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/connectors/kafka/operators.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:10.229508 | """Operators for the kafka source and sink.
It's suggested to import operators like this:
```{testcode}
from bytewax.connectors.kafka import operators as kop
```
And then you can use the operators like this:
```{testcode}
from bytewax.dataflow import Dataflow
flow = Dataflow("kafka-in-out")
kafka_input = kop.input... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/connectors/files.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:10.230166 | """Connectors for local text files."""
import os
from csv import DictReader
from pathlib import Path
from typing import Any, Callable, Dict, Iterator, List, Optional, Union
from zlib import adler32
from bytewax.inputs import FixedPartitionedSource, StatefulSourcePartition, batch
from bytewax.outputs import FixedParti... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/connectors/demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:10.249900 | """Connectors for writing local-first demo dataflows."""
import random
import sys
from dataclasses import dataclass
from datetime import datetime, timedelta, timezone
from typing import Callable, List, Optional, Tuple, TypeVar
from bytewax.inputs import FixedPartitionedSource, StatefulSourcePartition
from typing_exte... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/connectors/kafka/serde.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:10.252305 | """Serializers and deserializers for Kafka messages."""
import io
import json
import logging
from typing import Dict, Optional, Union
from confluent_kafka.schema_registry import Schema
from confluent_kafka.serialization import Deserializer, SerializationContext, Serializer
from fastavro import parse_schema, schemales... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/connectors/stdio.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:10.252929 | """Connectors to console IO."""
import sys
from typing import Any, List
from bytewax.outputs import DynamicSink, StatelessSinkPartition
from typing_extensions import override
class _PrintSinkPartition(StatelessSinkPartition[Any]):
@override
def write_batch(self, items: List[Any]) -> None:
for item i... |
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/errors.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:10.268776 | """Utilities for error handling."""
class BytewaxRuntimeError(RuntimeError):
"""A RuntimeError thrown by the Bytewax Runtime.
When exceptions are thrown in Python from user code, errors
can be chained from this error to provide additional context
from the Rust runtime.
"""
pass
|
bytewax/bytewax | https://github.com/bytewax/bytewax | null | null | null | null | 1,989 | null | null | apache-2.0 | null | null | null | null | null | null | null | pysrc/bytewax/dataflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:10.298469 | """Data model for dataflows and custom operators.
See {py:obj}`bytewax.operators` for the built-in operators.
"""
import dataclasses
import functools
import inspect
import itertools
import typing
from dataclasses import dataclass, field
from inspect import Parameter, Signature
from types import FunctionType
from typ... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/core/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:18.414133 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/common/types.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:18.415251 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/cli/demo_data.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:18.416929 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/common/async_utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:18.417922 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/cli/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:18.419389 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/core/graph.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:18.420740 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/common/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:18.421807 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/cli/__main__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:18.423246 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/core/action.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:18.424587 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:19.235440 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/core/validation.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:20.695332 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/core/implementations.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:20.696307 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/core/typing.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:20.799537 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/base.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:20.813542 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:20.814154 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/core/serde.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:20.907111 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/core/persistence.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.026702 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/core/parallelism.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.049955 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/core/state.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.132011 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/haystack.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.225244 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/hamilton.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.295610 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/notebook.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.330701 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/persisters/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.366087 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/opentelemetry.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.402442 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/persisters/b_aiosqlite.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.455882 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/persisters/b_asyncpg.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.562197 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/persisters/b_mongodb.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.579385 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
apache/burr | https://github.com/apache/burr | null | null | null | null | 1,986 | null | null | apache-2.0 | null | null | null | null | null | null | null | burr/integrations/persisters/b_psycopg2.py | null | null | null | null | null | null | Python | 2026-05-04T02:43:21.653236 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
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