https://github.com/ultralytics/stars
Count GitHub Stars ⭐
https://github.com/ultralytics/stars
ai github github-stars ml ultralytics yolo yolov5 yolov8
Last synced: 10 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 4 years ago)
- Default Branch: main
- Last Pushed: 2025-03-28T01:46:37.000Z (11 months ago)
- Last Synced: 2025-03-28T02:38:06.320Z (11 months ago)
- Topics: ai, github, github-stars, ml, ultralytics, yolo, yolov5, yolov8
- Language: Python
- Homepage: https://ultralytics.com
- Size: 89.8 KB
- Stars: 29
- Watchers: 3
- 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](https://github.com/) stars over a specified time period to gauge the popularity and engagement trends of various open-source repositories.
[](https://github.com/ultralytics/stars/actions/workflows/format.yml)
[](https://discord.com/invite/ultralytics)
[](https://community.ultralytics.com/)
[](https://reddit.com/r/ultralytics)
## 📌 Requirements
This script utilizes the [PyGitHub](https://pygithub.readthedocs.io/en/latest/) library to interface with the [GitHub REST API](https://docs.github.com/en/rest). This allows interaction with GitHub resources like [repositories](https://docs.ultralytics.com/models/), user profiles, and organizations directly within your [Python](https://docs.ultralytics.com/usage/python/) applications.
### Installation
Run the following command in your terminal to install the necessary dependencies listed in the `requirements.txt` file:
```bash
pip install -r requirements.txt # Install required libraries
```
## 🚀 Usage
Before running the script, you need to update the `TOKEN` variable in `count_stars.py` (line 15) with your personal [GitHub access token](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens). Once the token is set, execute the script using Python:
```python
# Ensure your GitHub access token is set in the TOKEN variable before running.
python count_stars.py
```
## 📈 Result
The script outputs the star count for the specified repositories over the defined period. Below is example output showing the star count increase over 30 days ending 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 the lifeblood of the [open-source](https://www.ultralytics.com/blog/tips-to-start-contributing-to-ultralytics-open-source-projects) community, and we greatly appreciate your input! Whether it's bug fixes, feature suggestions, or documentation improvements, every contribution helps.
Please see our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) for detailed instructions on how to get involved. We also encourage you to fill out our [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey) to share your feedback. Thank you 🙏 to everyone who contributes!
[](https://github.com/ultralytics/ultralytics/graphs/contributors)
## 📝 License
Ultralytics provides two licensing options to accommodate different use cases:
- **AGPL-3.0 License**: Ideal for students and enthusiasts, this [OSI-approved](https://opensource.org/license/agpl-v3) open-source license promotes collaboration and knowledge sharing. See the [LICENSE](https://github.com/ultralytics/stars/blob/main/LICENSE) file for details.
- **Enterprise License**: Designed for commercial applications, this license allows for the integration of Ultralytics software and AI models into commercial products and services. For more information, visit [Ultralytics Licensing](https://www.ultralytics.com/license).
## 📬 Contact Us
If you encounter bugs, have feature requests, or wish to contribute, please visit [GitHub Issues](https://github.com/ultralytics/stars/issues). For broader discussions and questions about Ultralytics projects, join our vibrant community on [Discord](https://discord.com/invite/ultralytics)!
