Avaiga/taipy

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

View on GitHub ↗Jump to charts ↓Open shareable report →

Avaiga/taipy has 19k+ stars and 1.5k+ forks on GitHub, is written in Python, and was last pushed on Aug 10, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 7 minutes ago
Added to GitGenius on March 1st, 2026
Created on February 18th, 2022
Open Issues & Pull Requests: 233 (+0)
GitHub issues: Enabled
Number of forks: 1,990
Total Stargazers: 19,441 (+0)
Total Subscribers: 86 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 46.6 hours
Mean response time: 47.2 days
90th percentile: 149.9 days
Tracked items: 690

Maintainer activity

16 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

Roughly one issue in five opened in the past year never receives a reply. 78% 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 34% of issues opened in the past year have been closed. Three people close 71% of everything that gets resolved.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 198
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 479 days
Stale 30+ days: 194
Stale 90+ days: 183

Recent activity

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

Top labels

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

Most active issues this week

Sign in to see which issues are moving.
Sign in

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.