teableio/teable

✨ AI Spreadsheet for Business

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Summary Information

Updated 17 minutes ago
Added to GitGenius on September 2nd, 2026
Created on November 1st, 2022
Open Issues & Pull Requests: 127 (+0)
GitHub issues: Enabled
Number of forks: 1,341
Total Stargazers: 21,758 (+0)
Total Subscribers: 92 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.7 days
Mean response time: 62.8 days
90th percentile: 215.6 days
Tracked items: 380

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "roadmap" is answered fastest, typically in about 18 hours, while "enhancement" waits about 10 days. 69% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 9% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 80
New in 7 days: 2
Closed in 7 days: 2
Avg open age: 356 days
Stale 30+ days: 71
Stale 90+ days: 64

Recent activity

Opened in 7 days: 2
Closed in 7 days: 2
Comments in 7 days: 2
Events in 7 days: 3

Top labels

  • bug (49)
  • feature (46)
  • enhancement (41)
  • roadmap (20)
  • question (13)
  • help wanted (10)
  • duplicate (8)
  • contributions welcome (5)

Detailed Description

Teable is a no-code spreadsheet application that provides an Airtable-like interface backed by PostgreSQL for building business applications.

The tool addresses the need for accessible database-driven applications without requiring programming expertise. It combines a familiar spreadsheet UI with a relational database backend, allowing users to create structured data applications through a visual interface. The platform includes AI-powered features to assist with data management and application building tasks, reducing the friction of traditional database setup and query writing.

Teable suits teams building internal tools, dashboards, and business applications who want the simplicity of a spreadsheet but the reliability and scalability of a proper database. It works well for organizations seeking an alternative to commercial spreadsheet-database hybrids, particularly those who prefer open-source solutions or need self-hosted deployment options. The PostgreSQL foundation means data can scale beyond typical spreadsheet limitations while remaining queryable through standard database tools if needed.

The project shows active development with regular commits across the codebase, indicating ongoing feature work and maintenance. The repository demonstrates consistent engagement with issues and pull requests, suggesting the maintainers respond to user feedback and community contributions. The TypeScript-based implementation across both frontend and backend reflects a cohesive technical approach to the full stack.