Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
[](https://links.taipy.io/bookgithub) <img From simple pilots to production-ready web applications in no time. No more compromises on performance, customization, and scalability. Taipy is designed for data scientists and machine learning engineers to create data & AI driven web applications. ⭐️ Enables building production-ready web applications. ⭐️ No need to learn new languages; only Python is needed. ⭐️ Focus on data and AI algorithms. Delegates development complexities to Taipy. ⭐️ Simplifies production operations (hosting, deployments, maintenance, etc.). Taipy includes the Taipy Python library enabling developers to easily empower their end-users with: Besides the Taipy Library, the Taipy Ecosystem includes: Taipy comes with a set of materials to facilitate production operations and maintenance. To install the stable release of Taipy, run: For alternative installation methods, an Installation Guide provides step-by-step instructions. A comprehensive documentation set is available at Taipy Documentation to help you with Taipy tools. It includes Tutorials, user manuals, API references,…
Read the full README ↗ · Preview checked 2026-10-27T04:20:21.539Z
Inside the original README — Document outline
- Table of Contents
- ⭐ What for?
- ✨ Taipy and Taipy Ecosystem
- ⏩ Quickstart
- 💡 Documentation and resources
- ⚒️ Contributing
- 🪄 Code of Conduct
- 🪪 License
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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Turns Data and AI algorithms into production-ready web applications in no time.
Repository facts
- Owner
- Avaiga
- Primary language
- Python
- Stars
- 19,454
- Forks
- 1,998
- Open issues + pull requests
- 233
- License
- Apache-2.0
- Archived
- No
- Default branch
- develop
- Created
- 2022-02-18T15:55:45.000Z
- Last push
- 2026-08-10T02:47:18.000Z
Topics and intended use
Owner-supplied topics: automation, data-engineering, data-integration, data-ops, data-visualization, datascience, developer-tools, hacktoberfest, hacktoberfest2023, job-scheduler, mlops, orchestration, pipeline, pipelines, python, scenario, scenario-analysis, taipy-core, taipy-gui, workflow
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Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-31T12:19:26.881Z. Daily imports are snapshots, not real-time monitoring.
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