open-source-metrics/evaluate-dependents

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 tab on GitHub.

Package & Repository star count

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

Package	Repository

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: 2884

fcakyon/video-transformers: 4

entelecheia/ekorpkit: 2

Repository

huggingface/transformers: 70481

huggingface/accelerate: 2884

huggingface/evaluate: 878

pytorch/benchmark: 406

imhuay/studies: 161

AIRC-KETI/ke-t5: 128

Jaseci-Labs/jaseci: 32

philschmid/optimum-static-quantization: 20

hms-dbmi/scw: 19

philschmid/optimum-transformers-optimizations: 15

girafe-ai/msai-python: 15

lewtun/dl4phys: 15

Package & Repository fork count

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

Package	Repository

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: 224

fcakyon/video-transformers: 0

entelecheia/ekorpkit: 0

Repository

huggingface/transformers: 16157

huggingface/accelerate: 224

pytorch/benchmark: 131

Jaseci-Labs/jaseci: 67

huggingface/evaluate: 48

imhuay/studies: 42

AIRC-KETI/ke-t5: 14

girafe-ai/msai-python: 14

hms-dbmi/scw: 11

kili-technology/automl: 5

whatofit/LevelWordWithFreq: 5