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language:
- en
license: apache-2.0
size_categories:
- 100K<n<1M
task_categories:
- tabular-classification
- text-classification
tags:
- pypi
- python
- software-engineering
- metadata
pretty_name: PyPI Download and Package Analysis
configs:
- config_name: default
data_files:
- split: train
path: packages_data/*.parquet
dataset_info:
features:
- name: metadata_version
dtype: string
- name: name
dtype: string
- name: version
dtype: string
- name: summary
dtype: string
- name: description
dtype: string
- name: description_content_type
dtype: string
- name: author
dtype: string
- name: author_email
dtype: string
- name: maintainer
dtype: string
- name: maintainer_email
dtype: string
- name: license
dtype: string
- name: keywords
dtype: string
- name: classifiers
sequence: string
- name: platform
sequence: string
- name: home_page
dtype: string
- name: download_url
dtype: string
- name: requires_python
dtype: string
- name: requires
sequence: string
- name: provides
sequence: string
- name: obsoletes
sequence: string
- name: requires_dist
sequence: string
- name: provides_dist
sequence: string
- name: obsoletes_dist
sequence: string
- name: requires_external
sequence: string
- name: project_urls
sequence: string
- name: uploaded_via
dtype: string
- name: upload_time
dtype: timestamp[us]
- name: filename
dtype: string
- name: size
dtype: int64
- name: path
dtype: string
- name: python_version
dtype: string
- name: packagetype
dtype: string
- name: comment_text
dtype: string
- name: has_signature
dtype: bool
- name: md5_digest
dtype: string
- name: sha256_digest
dtype: string
- name: blake2_256_digest
dtype: string
- name: license_expression
dtype: string
- name: license_files
sequence: string
- name: recent_7d_downloads
dtype: int64
---
# PyPI Download and Package Analysis
A comprehensive snapshot of the Python Package Index (PyPI), covering **690,775 packages** published from April 2005 through February 2026. Each row represents a published package release, enriched with full metadata from the PyPI API and recent download statistics from the PyPI BigQuery public dataset.
## Dataset at a Glance
| Stat | Value |
|---|---|
| Total packages | 690,775 |
| Date range | April 2005 – February 2026 |
| Total 7-day downloads | ~13.3 Billion |
| Format | Parquet (15 shards) |
| License | Apache-2.0 |
## Data Fields
| Field | Type | Description |
|---|---|---|
| `name` | string | Package name on PyPI (unique identifier) |
| `version` | string | Release version string (PEP 440) |
| `summary` | string | One-line description of the package |
| `description` | string | Full project description / README text |
| `description_content_type` | string | MIME type of the description (e.g. `text/markdown`) |
| `author` | string | Primary author name |
| `author_email` | string | Primary author email |
| `maintainer` | string | Maintainer name (if different from author) |
| `maintainer_email` | string | Maintainer email |
| `license` | string | License string as declared by the author |
| `keywords` | string | Space- or comma-separated keywords |
| `classifiers` | list[string] | PyPI trove classifiers (e.g. `Programming Language :: Python :: 3`) |
| `platform` | list[string] | Target platforms declared by the author |
| `home_page` | string | Project homepage URL |
| `download_url` | string | Direct download URL (if provided) |
| `requires_python` | string | Python version constraint (e.g. `>=3.8`) |
| `requires` | list[string] | Runtime dependencies |
| `project_urls` | list[string] | Additional URLs (source, docs, tracker, etc.) |
| `upload_time` | timestamp | UTC timestamp of when this release was uploaded |
| `size` | int64 | Size of the distribution file in bytes |
| `packagetype` | string | Distribution type: `sdist`, `bdist_wheel`, etc. |
| `metadata_version` | string | Metadata specification version |
| `recent_7d_downloads` | int64 | Total downloads in the most recent 7-day window |
## Usage
```python
from datasets import load_dataset
ds = load_dataset("semvec/pypi-packages")
df = ds["train"].to_pandas()
# Top 10 most downloaded packages
df.sort_values("recent_7d_downloads", ascending=False).head(10)[["name", "summary", "recent_7d_downloads"]]
```
## Example Use Cases
- **Trend Analysis** — Track adoption of ecosystems (AI/ML, web frameworks, DevOps tooling) by filtering classifiers and plotting `upload_time` vs. cumulative package count.
- **Package Classification / NLP** — Use `summary` and `description` to train text classifiers or summarization models that categorize packages by domain.
- **Dependency Graph Research** — Parse `requires` to construct a directed dependency graph of the entire Python ecosystem.
- **Popularity Modeling** — Predict `recent_7d_downloads` from metadata features like `requires_python`, `classifiers`, description length, and age.
- **License Compliance** — Audit license diversity across the ecosystem and identify packages with missing or ambiguous license declarations.
- **Author & Maintainer Analysis** — Study open-source contribution patterns, prolific authors, and package maintainer turnover over time.
## Data Collection
Metadata was fetched from the [PyPI JSON API](https://pypi.org/pypi/{package}/json) for every package listed in the PyPI simple index. Download counts were sourced from the [PyPI public BigQuery dataset](https://console.cloud.google.com/bigquery?p=bigquery-public-data&d=pypi&page=dataset) (`bigquery-public-data.pypi.file_downloads`), aggregated over the 7 days preceding the collection date (February 2026).
## Citation
If you use this dataset in your research, please cite it as:
```
@dataset{pypi_packages_2026,
title = {PyPI Download and Package Analysis},
author = {semvec},
year = {2026},
url = {https://huggingface.co/datasets/semvec/pypi-packages},
license = {Apache-2.0}
}
```
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