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Tabula
A free native Mac database client with optional offline AI
Contribute to tungnguyenvan/tabula development by creating an account on GitHub.
I started building it for my own daily database work. I wanted a native macOS app that could replace TablePlus in my workflow, without usage limits or another account to manage.
Tabula supports PostgreSQL, MySQL/MariaDB, SQLite, and Redis, with:
• Multiple connections in one window.
• Data browsing, filtering, editing, and export.
• SQL autocomplete, formatting, and query history.
• Table relationship diagrams.
• Live server metrics.
• A Redis key browser, value editor, and command console.
The latest addition is optional AI assistance. Describe a query, change existing SQL, get inline suggestions, or ask for help fixing a failed statement. The model receives your schema context to work with actual table names, columns, and relationships.
You can download a model and run it offline directly inside Tabula—no separate runtime required. Or connect your existing setup, including Ollama, Apple Intelligence, Claude API, OpenAI-compatible APIs, Claude Code, or Codex.
AI is disabled by default and requires explicit permission for Production connections.
Tabula is free and open source under the MIT License. No Tabula account, no telemetry, and no usage limits. External AI providers may charge separately.
It runs on macOS 14 and later, on Apple silicon and Intel.
This started as a personal tool, and I’m sharing it with developers who might find it useful too.
What would Tabula need for you to use it as your daily database client?
I’d love your feedback, bug reports, and contributions.
About Tabula on Product Hunt
“A free native Mac database client with optional offline AI”
Tabula was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #21 on the daily leaderboard. Contribute to tungnguyenvan/tabula development by creating an account on GitHub.
On the analytics side, Tabula competes within Open Source, Developer Tools and GitHub — topics that collectively have 633.5k followers on Product Hunt. The dashboard above tracks how Tabula performed against the three products that launched closest to it on the same day.
Who hunted Tabula?
Tabula was hunted by Văn Tùng Nguyễn. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Tabula including community comment highlights and product details, visit the product overview.
Hi Product Hunt!
I’m Tung, the developer behind Tabula.
I started building it for my own daily database work. I wanted a native macOS app that could replace TablePlus in my workflow, without usage limits or another account to manage.
Tabula supports PostgreSQL, MySQL/MariaDB, SQLite, and Redis, with:
• Multiple connections in one window.
• Data browsing, filtering, editing, and export.
• SQL autocomplete, formatting, and query history.
• Table relationship diagrams.
• Live server metrics.
• A Redis key browser, value editor, and command console.
The latest addition is optional AI assistance. Describe a query, change existing SQL, get inline suggestions, or ask for help fixing a failed statement. The model receives your schema context to work with actual table names, columns, and relationships.
You can download a model and run it offline directly inside Tabula—no separate runtime required. Or connect your existing setup, including Ollama, Apple Intelligence, Claude API, OpenAI-compatible APIs, Claude Code, or Codex.
AI is disabled by default and requires explicit permission for Production connections.
Tabula is free and open source under the MIT License. No Tabula account, no telemetry, and no usage limits. External AI providers may charge separately.
It runs on macOS 14 and later, on Apple silicon and Intel.
This started as a personal tool, and I’m sharing it with developers who might find it useful too.
What would Tabula need for you to use it as your daily database client?
I’d love your feedback, bug reports, and contributions.