Avaiga/taipy

Turns Data and AI algorithms into production-ready web applications in no time.

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Summary Information

Updated 42 minutes ago
Added to GitGenius on March 1st, 2026
Created on February 18th, 2022
Open Issues & Pull Requests: 224 (+0)
Number of forks: 1,997
Total Stargazers: 19,428 (+0)
Total Subscribers: 82 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 46.3 hours
Mean response time: 47.3 days
90th percentile: 159.8 days
Tracked items: 688

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 77% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "💥Malfunction" is answered fastest, typically in about 22 hours, while "🆘 Help wanted" waits about 12 days. Only 3% of issues opened in the past year have been closed. Three people close 71% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 194
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 487 days
Stale 30+ days: 186
Stale 90+ days: 172

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 3
Events in 7 days: 3

Top labels

  • 🖰 GUI (530)
  • 💥Malfunction (358)
  • 🟧 Priority: High (303)
  • 📈 Improvement (299)
  • 🟨 Priority: Medium (268)
  • 🔒 Staff only (215)
  • Core (200)
  • ✨New feature (166)

Detailed Description

Taipy is a Python framework designed to transform data science and machine learning algorithms into production-ready web applications without requiring developers to learn additional programming languages. The project addresses a specific gap in the data science workflow by enabling practitioners to focus on their core algorithms and data work while delegating web application development complexities to the framework itself.

The framework encompasses multiple integrated capabilities that form a comprehensive platform for building data-driven applications. User interface generation is handled automatically, eliminating the need for separate frontend development. Data integration features allow seamless connection to various data sources. Pipeline orchestration enables the creation and management of complex data workflows. The framework includes what-if analysis and scenario management functionality, allowing users to explore different analytical outcomes. Authentication, roles, and user management are built into the core system, addressing production security requirements. Cron jobs and scheduling capabilities support automated task execution.

Beyond the core Taipy library, the ecosystem includes supplementary tools such as Taipy Designer for visual development, Taipy Studio as an integrated development environment, predefined templates to accelerate project startup, and integration with external data platforms. The project provides production-focused materials including command line interfaces, deployment scripts, version management systems, data migration tools, and telemetry and monitoring capabilities to support operational requirements.

The repository's contributor base shows overlap with major projects including Microsoft's VSCode and TypeScript repositories as well as the Rust language project, suggesting that Taipy attracts developers with experience in significant open-source ecosystems. The framework is written in Python and covers multiple domains including data applications, web applications, low-code development, dashboards, data pipelines, GUI development, and AI applications. The project is licensed under Apache License 2.0 and has been actively maintained since 2021 by Avaiga Private Limited.