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https://github.com/ultralytics/stars
Count GitHub Stars ⭐
https://github.com/ultralytics/stars
ai github github-stars ml ultralytics yolo yolov5 yolov8
Last synced: 3 months ago
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Count GitHub Stars ⭐
- Host: GitHub
- URL: https://github.com/ultralytics/stars
- Owner: ultralytics
- License: agpl-3.0
- Created: 2022-03-31T17:00:13.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-08-14T18:53:40.000Z (6 months ago)
- Last Synced: 2024-08-14T19:47:33.991Z (6 months ago)
- Topics: ai, github, github-stars, ml, ultralytics, yolo, yolov5, yolov8
- Language: Python
- Homepage: https://ultralytics.com
- Size: 70.3 KB
- Stars: 28
- Watchers: 4
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Count GitHub Stars per Day ⭐️
Track the daily growth of GitHub stars over a time period to gauge the open-source popularity of various repositories.
[](https://github.com/ultralytics/stars/actions/workflows/format.yml) 
## 📌 Requirements
To interface with the [GitHub REST API](https://docs.github.com/en/rest) using Python, the `PyGitHub` library is required. Utilize this library to interact with GitHub resources such as repositories, user profiles, and organizations within your Python applications.
### Installation
Run the following command to install dependencies listed in `requirements.txt`:
```bash
pip install -r requirements.txt # Install required libraries
```
## 🚀 Usage
First, update the `TOKEN` in `count_stars.py` on line 15 with your valid [GitHub access token](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens). Then execute the script:
```python
# Before running, ensure TOKEN is set to your GitHub access token.
python count_stars.py
```
## 📈 Result
The output below shows the star count for various repositories on April 10th, 2022, over the last 30 days since May 2nd, 2022:
```python
Counting stars for last 30.0 days from 02 May 2022
ultralytics/yolov5 1572 stars (52.4/day) : 6%|▌ | 1572/25683 [00:16<04:15, 94.53it/s]
facebookresearch/detectron2 391 stars (13.0/day) : 2%|▏ | 391/20723 [00:04<03:56, 85.86it/s]
deepmind/deepmind-research 165 stars (5.5/day) : 2%|▏ | 165/10079 [00:01<01:50, 89.52it/s]
aws/amazon-sagemaker-examples 120 stars (4.0/day) : 2%|▏ | 120/6830 [00:02<02:16, 49.17it/s]
awslabs/autogluon 127 stars (4.2/day) : 3%|▎ | 127/4436 [00:01<01:00, 71.45it/s]
microsoft/LightGBM 122 stars (4.1/day) : 1%| | 122/13730 [00:01<03:10, 71.54it/s]
openai/gpt-3 95 stars (3.2/day) : 1%| | 95/11225 [00:01<03:34, 52.00it/s]
apple/turicreate 40 stars (1.3/day) : 0%| | 40/10676 [00:00<02:24, 73.59it/s]
apple/coremltools 41 stars (1.4/day) : 2%|▏ | 41/2641 [00:00<00:46, 56.00it/s]
google/automl 55 stars (1.8/day) : 1%| | 55/4991 [00:00<01:25, 57.53it/s]
google-research/google-research 548 stars (18.3/day) : 2%|▏ | 548/23087 [00:07<05:11, 72.37it/s]
google-research/vision_transformer 279 stars (9.3/day) : 6%|▌ | 279/5043 [00:02<00:49, 95.93it/s]
google-research/bert 283 stars (9.4/day) : 1%| | 283/31066 [00:03<07:01, 73.11it/s]
NVlabs/stylegan3 158 stars (5.3/day) : 4%|▍ | 158/4045 [00:01<00:44, 86.41it/s]
Tencent/ncnn 278 stars (9.3/day) : 2%|▏ | 278/14440 [00:03<02:41, 87.55it/s]
Megvii-BaseDetection/YOLOX 273 stars (9.1/day) : 4%|▍ | 273/6286 [00:02<01:04, 92.53it/s]
PaddlePaddle/Paddle 239 stars (8.0/day) : 1%|▏ | 239/18086 [00:02<03:33, 83.73it/s]
rwightman/pytorch-image-models 772 stars (25.7/day) : 4%|▍ | 772/18169 [00:08<03:21, 86.24it/s]
streamlit/streamlit 375 stars (12.5/day) : 2%|▏ | 375/18834 [00:03<03:07, 98.67it/s]
explosion/spaCy 234 stars (7.8/day) : 1%| | 234/23249 [00:02<03:47, 101.24it/s]
PyTorchLightning/pytorch-lightning 407 stars (13.6/day) : 2%|▏ | 407/18246 [00:04<03:02, 97.83it/s]
ray-project/ray 545 stars (18.2/day) : 3%|▎ | 545/20228 [00:05<03:03, 107.33it/s]
fastai/fastai 136 stars (4.5/day) : 1%| | 136/22202 [00:01<04:28, 82.22it/s]
AlexeyAB/darknet 248 stars (8.3/day) : 1%|▏ | 248/18993 [00:02<03:40, 84.84it/s]
pjreddie/darknet 201 stars (6.7/day) : 1%| | 201/22651 [00:02<05:13, 71.62it/s]
WongKinYiu/yolor 92 stars (3.1/day) : 6%|▌ | 92/1559 [00:01<00:16, 87.69it/s]
wandb/client 66 stars (2.2/day) : 2%|▏ | 66/3853 [00:00<00:46, 82.16it/s]
Deci-AI/super-gradients 74 stars (2.5/day) : 19%|█▉ | 74/380 [00:00<00:03, 96.71it/s]
neuralmagic/sparseml 105 stars (3.5/day) : 11%|█ | 105/947 [00:01<00:08, 101.97it/s]
mosaicml/composer 247 stars (8.2/day) : 19%|█▉ | 247/1306 [00:02<00:10, 104.76it/s]
nebuly-ai/nebullvm 205 stars (6.8/day) : 20%|█▉ | 205/1045 [00:02<00:08, 97.46it/s]
Done in 125.7s
```
## 💡 Contribute
Contributions are what make the open-source community thrive. We value your ideas and input! Refer to our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) to get started and complete our [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey) to give us feedback on your experience. A big thank you 🙏 to all our contributors!
## 📝 License
Ultralytics offers two types of licensing options:
- **AGPL-3.0 License**: This [Open Source Initiative (OSI)-approved](https://opensource.org/license/agpl-v3) license is fit for students, hobbyists, and enthusiasts, promoting collaborative open-source development. Consult the [LICENSE](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) file for complete details.
- **Enterprise License**: Tailored for commercial uses, this licensing option allows the seamless integration of Ultralytics software and AI models into commercial products and services without the obligations typically associated with AGPL-3.0. If you are looking to incorporate our solutions into your commercial products, please reach out via [Ultralytics Licensing](https://www.ultralytics.com/license).
## 📬 Contact Us
For bug reports, feature requests, and contributions, head to [GitHub Issues](https://github.com/ultralytics/stars/issues). For questions and discussions about this project and other Ultralytics endeavors, join us on [Discord](https://discord.com/invite/ultralytics)!
