Count GitHub Stars per Day ⭐

Track GitHub stars per day over a date range to measure the open-source popularity of different repositories.

Requirements

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 PyGithub

Usage

Update TOKEN to a valid GitHub access token in count_stars.py L15 and then run:

python count_stars.py

Result

When 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