tabularis

Name: tabularis Review
Item: tabularis
Rating: 3.8
Author: Aaron Matthews

Skill Data & Analytics Solid

Works inClaude Code

Solid Scanned — metadata only

Reduces time spent context-switching between query tools, documentation, and database logs.

Open-source desktop SQL workspace for PostgreSQL, MySQL/MariaDB, SQLite, and 13+ more databases including DuckDB and ClickHouse, with SQL notebooks, visual EXPLAIN, and built-in AI and MCP support. Hackable with plugins. Installs as a desktop app (winget, Homebrew, snap, or direct installers).

Ask Claude to optimize slow database queries by analyzing EXPLAIN output visually
Generate SQL notebooks documenting data pipeline logic and test results in one place
Automate repetitive database tasks across PostgreSQL, MySQL, and SQLite with custom plugins

4,020 starsApache-2.0 (commercial OK)FreeQuick setup

Why it matters

Reduces time spent context-switching between query tools, documentation, and database logs. Integrated AI and visual EXPLAIN features accelerate debugging and optimization, lowering database troubleshooting overhead.

Best for

Data engineering teams managing multi-database environments who need faster query analysis and SQL experimentation within a single interface.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/TabularisDB/tabularis

By TabularisDB

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Instructions to paste into Claude

brew tap TabularisDB/tabularis && brew install --cask tabularis   # macOS
winget install Debba.Tabularis                                    # Windows
sudo snap install tabularis                                       # Linux

Or download an installer from the GitHub releases page.

First thing to try

After installing, paste this into Claude:

Optimize slow database queries by analyzing EXPLAIN output visually

CostFree

Trust Signals Auto-scanned

Stars4,020Contributors79Last updated2026-08-05LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-12 · scanner vattempted-no-data

Community Pulse Active

Discussed on Hacker News

Tabularis: Open-source desktop SQL client your AI agent can use — Hacker News · 3 pts
Tabularis: A lightweight, cross-platform database client for developers — Hacker News · 2 pts
Show HN: I built theme support in Tabularis – lightweight DB tool for developers — Hacker News · 2 pts

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 3,321 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

4/5

Versatility

5/5

Reliability

3/5

Security

3/5

Overall score3.85 / 5.00 SolidEvaluatedJun 2026

Scored from trust signals (evidence-eval-v1): 3,321 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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