Datasets:

open-source-metrics
/

datasets-dependents

	---
	license: apache-2.0
	pretty_name: datasets metrics
	tags:
	- github-stars
	---

	# datasets metrics

	This dataset contains metrics about the huggingface/datasets package.

	## Package dependents

	This contains the data available in the [used-by](https://github.com/huggingface/datasets/network/dependents)
	tab on GitHub.

	### Package & Repository star count

	This section shows the package and repository star count, individually.


	Package \| Repository
	:-------------------------:\|:-------------------------:
	![datasets-dependent package star count](./datasets-dependents/resolve/main/datasets-dependent_package_star_count.png) \| ![datasets-dependent repository star count](./datasets-dependents/resolve/main/datasets-dependent_repository_star_count.png)

	There are 21 packages that have more than 1000 stars.

	There are 9 repositories that have more than 1000 stars.


	The top 10 in each category are the following:

	Package

	[huggingface/transformers](https://github.com/huggingface/transformers): 69632

	[fastai/fastbook](https://github.com/fastai/fastbook): 15952

	[jina-ai/jina](https://github.com/jina-ai/jina): 15901

	[borisdayma/dalle-mini](https://github.com/borisdayma/dalle-mini): 12702

	[allenai/allennlp](https://github.com/allenai/allennlp): 11179

	[facebookresearch/ParlAI](https://github.com/facebookresearch/ParlAI): 9422

	[huggingface/tokenizers](https://github.com/huggingface/tokenizers): 5850

	[PaddlePaddle/PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP): 5289

	[huggingface/diffusers](https://github.com/huggingface/diffusers): 4613

	[HIT-SCIR/ltp](https://github.com/HIT-SCIR/ltp): 4036

	Repository

	[google-research/google-research](https://github.com/google-research/google-research): 24871

	[wandb/wandb](https://github.com/wandb/wandb): 4691

	[huggingface/diffusers](https://github.com/huggingface/diffusers): 4613

	[huggingface/accelerate](https://github.com/huggingface/accelerate): 2828

	[ethen8181/machine-learning](https://github.com/ethen8181/machine-learning): 2041

	[postgresml/postgresml](https://github.com/postgresml/postgresml): 1524

	[google-research/language](https://github.com/google-research/language): 1284

	[x4nth055/pythoncode-tutorials](https://github.com/x4nth055/pythoncode-tutorials): 1239

	[cgpotts/cs224u](https://github.com/cgpotts/cs224u): 1142

	[axinc-ai/ailia-models](https://github.com/axinc-ai/ailia-models): 979


	### Package & Repository fork count

	This section shows the package and repository fork count, individually.

	Package \| Repository
	:-------------------------:\|:-------------------------:
	![datasets-dependent package forks count](./datasets-dependents/resolve/main/datasets-dependent_package_forks_count.png) \| ![datasets-dependent repository forks count](./datasets-dependents/resolve/main/datasets-dependent_repository_forks_count.png)

	There are 17 packages that have more than 200 forks.

	There are 10 repositories that have more than 200 forks.


	The top 10 in each category are the following:

	Package

	[huggingface/transformers](https://github.com/huggingface/transformers): 16026

	[fastai/fastbook](https://github.com/fastai/fastbook): 5975

	[allenai/allennlp](https://github.com/allenai/allennlp): 2211

	[jina-ai/jina](https://github.com/jina-ai/jina): 1960

	[facebookresearch/ParlAI](https://github.com/facebookresearch/ParlAI): 1913

	[PaddlePaddle/PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP): 1537

	[HIT-SCIR/ltp](https://github.com/HIT-SCIR/ltp): 982

	[borisdayma/dalle-mini](https://github.com/borisdayma/dalle-mini): 926

	[ThilinaRajapakse/simpletransformers](https://github.com/ThilinaRajapakse/simpletransformers): 654

	[huggingface/tokenizers](https://github.com/huggingface/tokenizers): 498

	Repository

	[google-research/google-research](https://github.com/google-research/google-research): 6076

	[x4nth055/pythoncode-tutorials](https://github.com/x4nth055/pythoncode-tutorials): 1420

	[cgpotts/cs224u](https://github.com/cgpotts/cs224u): 642

	[ethen8181/machine-learning](https://github.com/ethen8181/machine-learning): 516

	[huggingface/diffusers](https://github.com/huggingface/diffusers): 361

	[wandb/wandb](https://github.com/wandb/wandb): 356

	[google-research/language](https://github.com/google-research/language): 301

	[microsoft/CodeXGLUE](https://github.com/microsoft/CodeXGLUE): 228

	[GoogleCloudPlatform/ai-platform-samples](https://github.com/GoogleCloudPlatform/ai-platform-samples): 224

	[huggingface/accelerate](https://github.com/huggingface/accelerate): 215