Track GitHub stars per day over a date range to measure the open-source popularity of different repositories.
PyGitHub is required to access the GitHub REST API via Python. This library enables you to manage GitHub resources such as repositories, user profiles, and organizations in your Python applications.
pip install PyGithubUpdate TOKEN to a valid GitHub access token in count_stars.py L15 and then run:
python count_stars.pyWhen run on April 3rd, 2022 result is:
Counting stars for last 30.0 days
ultralytics/yolov5 1596 stars (53.2/day) : 7% 1596/24203 [00:09<02:20, 160.51it/s]
facebookresearch/detectron2 372 stars (12.4/day) : 2% 372/20380 [00:02<02:20, 141.93it/s]
deepmind/deepmind-research 205 stars (6.8/day) : 2% 205/9932 [00:01<01:06, 145.76it/s]
aws/amazon-sagemaker-examples 128 stars (4.3/day) : 2% 128/6729 [00:00<00:44, 150.01it/s]
awslabs/autogluon 149 stars (5.0/day) : 3% 149/4316 [00:01<00:28, 143.74it/s]
microsoft/LightGBM 126 stars (4.2/day) : 1% 126/13622 [00:01<02:08, 105.21it/s]
openai/gpt-3 73 stars (2.4/day) : 1% 73/11149 [00:00<01:18, 141.94it/s]
apple/turicreate 57 stars (1.9/day) : 1% 57/10651 [00:00<01:41, 104.59it/s]
apple/coremltools 39 stars (1.3/day) : 1% 39/2607 [00:00<00:22, 115.67it/s]
NVlabs/stylegan3 163 stars (5.4/day) : 4% 163/3901 [00:01<00:27, 136.62it/s]
Tencent/ncnn 277 stars (9.2/day) : 2% 277/14185 [00:01<01:28, 157.73it/s]
Megvii-BaseDetection/YOLOX 274 stars (9.1/day) : 5% 274/6034 [00:02<00:59, 96.40it/s]
PaddlePaddle/Paddle 201 stars (6.7/day) : 1% 201/17877 [00:01<01:51, 158.78it/s]
rwightman/pytorch-image-models 724 stars (24.1/day) : 4% 724/17452 [00:04<01:42, 163.86it/s]
streamlit/streamlit 617 stars (20.6/day) : 3% 617/18498 [00:03<01:50, 162.51it/s]
explosion/spaCy 551 stars (18.4/day) : 2% 551/23052 [00:03<02:25, 154.51it/s]
PyTorchLightning/pytorch-lightning 409 stars (13.6/day) : 2% 409/17883 [00:02<01:56, 149.61it/s]
ray-project/ray 390 stars (13.0/day) : 2% 390/19722 [00:02<02:04, 155.03it/s]
fastai/fastai 137 stars (4.6/day) : 1% 137/22107 [00:00<02:31, 145.06it/s]
google/automl 45 stars (1.5/day) : 1% 45/4941 [00:00<00:37, 130.84it/s]
AlexeyAB/darknet 268 stars (8.9/day) : 1% 268/18786 [00:01<02:07, 144.91it/s]
pjreddie/darknet 269 stars (9.0/day) : 1% 269/22496 [00:01<02:35, 143.38it/s]
WongKinYiu/yolor 73 stars (2.4/day) : 5% 73/1475 [00:00<00:12, 114.79it/s]
wandb/client 71 stars (2.4/day) : 2% 71/3794 [00:00<00:27, 134.94it/s]
Deci-AI/super-gradients 19 stars (0.6/day) : 6% 19/312 [00:00<00:05, 57.68it/s]
Done in 62.2s