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\u003ccode\u003eGitStarPercentile\u003c/code\u003e\n\u003c/h1\u003e\n\n\u003cdiv align=\"center\"\u003e\n\n[![Twitter](https://img.shields.io/twitter/follow/ChenLiu-1996.svg?style=social)](https://twitter.com/ChenLiu_1996)\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-ChenLiu-1996?color=blue)](https://www.linkedin.com/in/chenliu1996/)\n\u003cbr\u003e\n[![Latest PyPI version](https://img.shields.io/pypi/v/git-star-percentile.svg)](https://pypi.org/project/git-star-percentile/)\n[![PyPI download 3 month](https://static.pepy.tech/badge/git-star-percentile)](https://pepy.tech/projects/git-star-percentile)\n[![PyPI download month](https://img.shields.io/pypi/dm/git-star-percentile.svg)](https://pypistats.org/packages/git-star-percentile)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\n\u003c/div\u003e\n\n\u003cbr\u003e\n\n\u0026#129300; Have you ever wondered **how popular your GitHub repository really is**?\n\n\u0026#x1F620; Frustrated that GitHub **doesn’t show star percentiles anywhere**?\n\nMaybe you’ve thought:\n\u003e \"I have 200 stars — but is that a lot?\"\n\n\u003e \"Where does my repo rank compared to the other repos?\"\n\n\u003cbr\u003e\n\u003ccode\u003eGitStarPercentile\u003c/code\u003e tells you instantly:\n\nEnter your star count and instantly see your percentile, calculated from GitHub-wide data.\n\n\n## \u0026#128640; Features\n\n- \u0026#128202; **Instant percentile lookup** — get your repo’s rank in milliseconds.\n- \u0026#128421; **Simple CLI** — just type `git-star-percentile` and enter your star count.\n- \u0026#x1F4BE; **Big data** — computation is based on over 1 million public repos, stratified by creation date.\n\n\n## \u0026#128230; Installation\nFrom the command line:\n\n```bash\npip install git-star-percentile --upgrade\n```\n\n## \u0026#9889; Usage\nFrom the command line:\n\n```bash\ngit-star-percentile\n```\n\nYou’ll be prompted to enter the number of stars for your repository:\n\n```bash\nEnter the number of GitHub stars: 200\nYour repo is approximately among the top xx.xxxx%.\n```\n\n## \u0026#128196; Data Source\n\n### If we count all public repositories:\n\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"assets/github_stars_distribution_all.png\" alt=\"GitHub Stars Distribution\" style=\"max-width:100%; height:auto;\"\u003e\n\u003c/div\u003e\n\n### If we only count public repositories with at least 1 star:\n\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"assets/github_stars_distribution_nonzero.png\" alt=\"GitHub Stars Distribution\" style=\"max-width:100%; height:auto;\"\u003e\n\u003c/div\u003e\n\n\n- Star statistics are **pulled from all public GitHub repositories**.\n- Data is stored in [stats/github_repo_stars.csv](stats/github_repo_stars.csv).\n- Want fresher stats? Run [the stats counter](count_all_repo_stars.py) yourself and submit a pull request.\n    ```bash\n    python count_all_repo_stars.py --github-token $YOUR_GITHUB_TOKEN\n    ```\n\n    The line above would run over all public repositories. For a more manageable run, sample 1 million instead.\n    ```bash\n    python count_all_repo_stars.py --github-token $YOUR_GITHUB_TOKEN --sample-size 1000000\n    ```\n\n    Note I will not consider merging results with `--sample-size` below 1 million.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchenliu-1996%2Fgitstarpercentile","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchenliu-1996%2Fgitstarpercentile","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchenliu-1996%2Fgitstarpercentile/lists"}