tabularisdb/tabularis

Open-source desktop SQL workspace for PostgreSQL, MySQL/MariaDB, SQLite and 15+ more databases like DuckDB, ClickHouse, Redis and Firestore. Built-in MCP...

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Summary Information

Updated 32 minutes ago
Added to GitGenius on September 14th, 2026
Created on January 26th, 2026
Open Issues & Pull Requests: 96 (+0)
GitHub issues: Enabled
Number of forks: 318
Total Stargazers: 4,944 (+0)
Total Subscribers: 14 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.3 hours
Mean response time: 5.9 days
90th percentile: 11.2 days
Tracked items: 273

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 73% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in about an hour, while "roadmap" waits about 3 weeks. 28% of tracked open issues have had no activity in three months. Only 8% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 75
New in 7 days: 16
Closed in 7 days: 13
Avg open age: 86 days
Stale 30+ days: 45
Stale 90+ days: 19

Recent activity

Opened in 7 days: 14
Closed in 7 days: 13
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (120)
  • feature request (81)
  • enhancement (19)
  • roadmap (15)
  • good first issue (9)
  • help wanted (9)
  • sql-server (7)

Detailed Description

Tabularis is a desktop SQL workspace that supports PostgreSQL, MySQL, MariaDB, SQLite, and over 15 additional databases including DuckDB, ClickHouse, Redis, and Firestore.

The tool addresses the fragmentation of database management by providing a unified interface for querying and exploring multiple database systems. It works as a native desktop application built with Tauri and TypeScript, offering both traditional SQL editing and notebook-style workflows. A distinctive feature is its built-in Model Context Protocol server, which allows AI assistants like Claude, Cursor, and Devin to access your database schema and execute queries directly within those tools, bridging the gap between your development environment and database interaction.

Tabularis suits developers who work across multiple database platforms and want to avoid switching between specialized clients for each system. It is particularly valuable for teams integrating AI assistants into their development workflow, since the MCP server integration means your AI tools can query databases without leaving the editor. The tool includes visual query builders, ER diagram generation, and visual EXPLAIN output for query analysis. It is available across Windows, macOS, and Linux through multiple package managers and distribution channels.

The project maintains active development with regular releases and a community Discord server for user support and feedback. The codebase is written primarily in TypeScript with Rust components, indicating a focus on performance-critical sections. The tool is distributed through multiple package management systems and platforms, suggesting sustained effort toward accessibility and cross-platform compatibility.