
# transformers metrics

This dataset contains metrics about the huggingface/transformers package.

Number of repositories in the dataset: 27067
Number of packages in the dataset: 823

## Package dependents

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

### Package & Repository star count

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


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

There are 65 packages that have more than 1000 stars.

There are 140 repositories that have more than 1000 stars.


The top 10 in each category are the following:

*Package*

[hankcs/HanLP](https://github.com/hankcs/HanLP): 26958

[fastai/fastai](https://github.com/fastai/fastai): 22774

[slundberg/shap](https://github.com/slundberg/shap): 17482

[fastai/fastbook](https://github.com/fastai/fastbook): 16052

[jina-ai/jina](https://github.com/jina-ai/jina): 16052

[huggingface/datasets](https://github.com/huggingface/datasets): 14101

[microsoft/recommenders](https://github.com/microsoft/recommenders): 14017

[borisdayma/dalle-mini](https://github.com/borisdayma/dalle-mini): 12872

[flairNLP/flair](https://github.com/flairNLP/flair): 12033

[allenai/allennlp](https://github.com/allenai/allennlp): 11198

*Repository*

[huggingface/transformers](https://github.com/huggingface/transformers): 70487

[hankcs/HanLP](https://github.com/hankcs/HanLP): 26959

[ageron/handson-ml2](https://github.com/ageron/handson-ml2): 22886

[ray-project/ray](https://github.com/ray-project/ray): 22047

[jina-ai/jina](https://github.com/jina-ai/jina): 16052

[RasaHQ/rasa](https://github.com/RasaHQ/rasa): 14844

[microsoft/recommenders](https://github.com/microsoft/recommenders): 14017

[deeplearning4j/deeplearning4j](https://github.com/deeplearning4j/deeplearning4j): 12617

[flairNLP/flair](https://github.com/flairNLP/flair): 12034

[allenai/allennlp](https://github.com/allenai/allennlp): 11198


### Package & Repository fork count

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

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

There are 55 packages that have more than 200 forks.

There are 128 repositories that have more than 200 forks.


The top 10 in each category are the following:

*Package*

[hankcs/HanLP](https://github.com/hankcs/HanLP): 7388

[fastai/fastai](https://github.com/fastai/fastai): 7297

[fastai/fastbook](https://github.com/fastai/fastbook): 6033

[slundberg/shap](https://github.com/slundberg/shap): 2646

[microsoft/recommenders](https://github.com/microsoft/recommenders): 2473

[allenai/allennlp](https://github.com/allenai/allennlp): 2218

[jina-ai/clip-as-service](https://github.com/jina-ai/clip-as-service): 1972

[jina-ai/jina](https://github.com/jina-ai/jina): 1967

[flairNLP/flair](https://github.com/flairNLP/flair): 1934

[huggingface/datasets](https://github.com/huggingface/datasets): 1841

*Repository*

[huggingface/transformers](https://github.com/huggingface/transformers): 16159

[ageron/handson-ml2](https://github.com/ageron/handson-ml2): 11053

[hankcs/HanLP](https://github.com/hankcs/HanLP): 7389

[aws/amazon-sagemaker-examples](https://github.com/aws/amazon-sagemaker-examples): 5493

[deeplearning4j/deeplearning4j](https://github.com/deeplearning4j/deeplearning4j): 4933

[RasaHQ/rasa](https://github.com/RasaHQ/rasa): 4106

[ray-project/ray](https://github.com/ray-project/ray): 3876

[apache/beam](https://github.com/apache/beam): 3648

[plotly/dash-sample-apps](https://github.com/plotly/dash-sample-apps): 2795

[microsoft/recommenders](https://github.com/microsoft/recommenders): 2473

    
license:apache-2.0 github-stars region:us
{"license": "apache-2.0", "pretty_name": "transformers metrics", "tags": ["github-stars"]}
TAGS
#license-apache-2.0 #github-stars #region-us 

transformers metrics
====================


This dataset contains metrics about the huggingface/transformers package.


Number of repositories in the dataset: 27067
Number of packages in the dataset: 823


Package dependents
------------------


This contains the data available in the used-by
tab on GitHub.


### Package & Repository star count


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



There are 65 packages that have more than 1000 stars.


There are 140 repositories that have more than 1000 stars.


The top 10 in each category are the following:


*Package*


hankcs/HanLP: 26958


fastai/fastai: 22774


slundberg/shap: 17482


fastai/fastbook: 16052


jina-ai/jina: 16052


huggingface/datasets: 14101


microsoft/recommenders: 14017


borisdayma/dalle-mini: 12872


flairNLP/flair: 12033


allenai/allennlp: 11198


*Repository*


huggingface/transformers: 70487


hankcs/HanLP: 26959


ageron/handson-ml2: 22886


ray-project/ray: 22047


jina-ai/jina: 16052


RasaHQ/rasa: 14844


microsoft/recommenders: 14017


deeplearning4j/deeplearning4j: 12617


flairNLP/flair: 12034


allenai/allennlp: 11198


### Package & Repository fork count


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



There are 55 packages that have more than 200 forks.


There are 128 repositories that have more than 200 forks.


The top 10 in each category are the following:


*Package*


hankcs/HanLP: 7388


fastai/fastai: 7297


fastai/fastbook: 6033


slundberg/shap: 2646


microsoft/recommenders: 2473


allenai/allennlp: 2218


jina-ai/clip-as-service: 1972


jina-ai/jina: 1967


flairNLP/flair: 1934


huggingface/datasets: 1841


*Repository*


huggingface/transformers: 16159


ageron/handson-ml2: 11053


hankcs/HanLP: 7389


aws/amazon-sagemaker-examples: 5493


deeplearning4j/deeplearning4j: 4933


RasaHQ/rasa: 4106


ray-project/ray: 3876


apache/beam: 3648


plotly/dash-sample-apps: 2795


microsoft/recommenders: 2473



### Package & Repository star count


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



There are 65 packages that have more than 1000 stars.


There are 140 repositories that have more than 1000 stars.


The top 10 in each category are the following:


*Package*


hankcs/HanLP: 26958


fastai/fastai: 22774


slundberg/shap: 17482


fastai/fastbook: 16052


jina-ai/jina: 16052


huggingface/datasets: 14101


microsoft/recommenders: 14017


borisdayma/dalle-mini: 12872


flairNLP/flair: 12033


allenai/allennlp: 11198


*Repository*


huggingface/transformers: 70487


hankcs/HanLP: 26959


ageron/handson-ml2: 22886


ray-project/ray: 22047


jina-ai/jina: 16052


RasaHQ/rasa: 14844


microsoft/recommenders: 14017


deeplearning4j/deeplearning4j: 12617


flairNLP/flair: 12034


allenai/allennlp: 11198 ### Package & Repository fork count


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



There are 55 packages that have more than 200 forks.


There are 128 repositories that have more than 200 forks.


The top 10 in each category are the following:


*Package*


hankcs/HanLP: 7388


fastai/fastai: 7297


fastai/fastbook: 6033


slundberg/shap: 2646


microsoft/recommenders: 2473


allenai/allennlp: 2218


jina-ai/clip-as-service: 1972


jina-ai/jina: 1967


flairNLP/flair: 1934


huggingface/datasets: 1841


*Repository*


huggingface/transformers: 16159


ageron/handson-ml2: 11053


hankcs/HanLP: 7389


aws/amazon-sagemaker-examples: 5493


deeplearning4j/deeplearning4j: 4933


RasaHQ/rasa: 4106


ray-project/ray: 3876


apache/beam: 3648


plotly/dash-sample-apps: 2795


microsoft/recommenders: 2473
TAGS
#license-apache-2.0 #github-stars #region-us 
 ### Package & Repository star count


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



There are 65 packages that have more than 1000 stars.


There are 140 repositories that have more than 1000 stars.


The top 10 in each category are the following:


*Package*


hankcs/HanLP: 26958


fastai/fastai: 22774


slundberg/shap: 17482


fastai/fastbook: 16052


jina-ai/jina: 16052


huggingface/datasets: 14101


microsoft/recommenders: 14017


borisdayma/dalle-mini: 12872


flairNLP/flair: 12033


allenai/allennlp: 11198


*Repository*


huggingface/transformers: 70487


hankcs/HanLP: 26959


ageron/handson-ml2: 22886


ray-project/ray: 22047


jina-ai/jina: 16052


RasaHQ/rasa: 14844


microsoft/recommenders: 14017


deeplearning4j/deeplearning4j: 12617


flairNLP/flair: 12034


allenai/allennlp: 11198 ### Package & Repository fork count


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



There are 55 packages that have more than 200 forks.


There are 128 repositories that have more than 200 forks.


The top 10 in each category are the following:


*Package*


hankcs/HanLP: 7388


fastai/fastai: 7297


fastai/fastbook: 6033


slundberg/shap: 2646


microsoft/recommenders: 2473


allenai/allennlp: 2218


jina-ai/clip-as-service: 1972


jina-ai/jina: 1967


flairNLP/flair: 1934


huggingface/datasets: 1841


*Repository*


huggingface/transformers: 16159


ageron/handson-ml2: 11053


hankcs/HanLP: 7389


aws/amazon-sagemaker-examples: 5493


deeplearning4j/deeplearning4j: 4933


RasaHQ/rasa: 4106


ray-project/ray: 3876


apache/beam: 3648


plotly/dash-sample-apps: 2795


microsoft/recommenders: 2473
passage: TAGS
#license-apache-2.0 #github-stars #region-us 
### Package & Repository star count


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



There are 65 packages that have more than 1000 stars.


There are 140 repositories that have more than 1000 stars.


The top 10 in each category are the following:


*Package*


hankcs/HanLP: 26958


fastai/fastai: 22774


slundberg/shap: 17482


fastai/fastbook: 16052


jina-ai/jina: 16052


huggingface/datasets: 14101


microsoft/recommenders: 14017


borisdayma/dalle-mini: 12872


flairNLP/flair: 12033


allenai/allennlp: 11198


*Repository*


huggingface/transformers: 70487


hankcs/HanLP: 26959


ageron/handson-ml2: 22886


ray-project/ray: 22047


jina-ai/jina: 16052


RasaHQ/rasa: 14844


microsoft/recommenders: 14017


deeplearning4j/deeplearning4j: 12617


flairNLP/flair: 12034


allenai/allennlp: 11198