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README.md

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+---
+license: apache-2.0
+pretty_name: evaluate metrics
+tags:
+- github-stars
+---
+
+# evaluate metrics
+
+This dataset contains metrics about the huggingface/evaluate package.
+
+Number of repositories in the dataset: 106
+Number of packages in the dataset: 3
+
+## Package dependents
+
+This contains the data available in the [used-by](https://github.com/huggingface/evaluate/network/dependents)
+tab on GitHub.
+
+### Package & Repository star count
+
+This section shows the package and repository star count, individually. 
+
+
+Package             |  Repository
+:-------------------------:|:-------------------------:
+![evaluate-dependent package star count](./evaluate-dependents/resolve/main/evaluate-dependent_package_star_count.png)  |  ![evaluate-dependent repository star count](./evaluate-dependents/resolve/main/evaluate-dependent_repository_star_count.png)
+
+There are 1 packages that have more than 1000 stars.
+
+There are 2 repositories that have more than 1000 stars.
+
+
+The top 10 in each category are the following:
+
+*Package*
+
+[huggingface/accelerate](https://github.com/huggingface/accelerate): 2884
+
+[fcakyon/video-transformers](https://github.com/fcakyon/video-transformers): 4
+
+[entelecheia/ekorpkit](https://github.com/entelecheia/ekorpkit): 2
+
+*Repository*
+
+[huggingface/transformers](https://github.com/huggingface/transformers): 70481
+
+[huggingface/accelerate](https://github.com/huggingface/accelerate): 2884
+
+[huggingface/evaluate](https://github.com/huggingface/evaluate): 878
+
+[pytorch/benchmark](https://github.com/pytorch/benchmark): 406
+
+[imhuay/studies](https://github.com/imhuay/studies): 161
+
+[AIRC-KETI/ke-t5](https://github.com/AIRC-KETI/ke-t5): 128
+
+[Jaseci-Labs/jaseci](https://github.com/Jaseci-Labs/jaseci): 32
+
+[philschmid/optimum-static-quantization](https://github.com/philschmid/optimum-static-quantization): 20
+
+[hms-dbmi/scw](https://github.com/hms-dbmi/scw): 19
+
+[philschmid/optimum-transformers-optimizations](https://github.com/philschmid/optimum-transformers-optimizations): 15
+
+[girafe-ai/msai-python](https://github.com/girafe-ai/msai-python): 15
+
+[lewtun/dl4phys](https://github.com/lewtun/dl4phys): 15
+
+
+### Package & Repository fork count
+
+This section shows the package and repository fork count, individually. 
+
+Package             |  Repository
+:-------------------------:|:-------------------------:
+![evaluate-dependent package forks count](./evaluate-dependents/resolve/main/evaluate-dependent_package_forks_count.png)  |  ![evaluate-dependent repository forks count](./evaluate-dependents/resolve/main/evaluate-dependent_repository_forks_count.png)
+
+There are 1 packages that have more than 200 forks.
+
+There are 2 repositories that have more than 200 forks.
+
+
+The top 10 in each category are the following:
+
+*Package*
+
+[huggingface/accelerate](https://github.com/huggingface/accelerate): 224
+
+[fcakyon/video-transformers](https://github.com/fcakyon/video-transformers): 0
+
+[entelecheia/ekorpkit](https://github.com/entelecheia/ekorpkit): 0
+
+*Repository*
+
+[huggingface/transformers](https://github.com/huggingface/transformers): 16157
+
+[huggingface/accelerate](https://github.com/huggingface/accelerate): 224
+
+[pytorch/benchmark](https://github.com/pytorch/benchmark): 131
+
+[Jaseci-Labs/jaseci](https://github.com/Jaseci-Labs/jaseci): 67
+
+[huggingface/evaluate](https://github.com/huggingface/evaluate): 48
+
+[imhuay/studies](https://github.com/imhuay/studies): 42
+
+[AIRC-KETI/ke-t5](https://github.com/AIRC-KETI/ke-t5): 14
+
+[girafe-ai/msai-python](https://github.com/girafe-ai/msai-python): 14
+
+[hms-dbmi/scw](https://github.com/hms-dbmi/scw): 11
+
+[kili-technology/automl](https://github.com/kili-technology/automl): 5
+
+[whatofit/LevelWordWithFreq](https://github.com/whatofit/LevelWordWithFreq): 5
+
+