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LibreDB Studio

Browser-based SQL IDE for PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Redis, ClickHouse, DuckDB and mor…

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Self-host

Docker Compose
Difficulty
Docker Compose(estimated)
Deploy methods
dockercomposehelmk8ssource
Required dependencies
Not yet detected
Resource footprint
Needs ~256 MB RAM · 512 MB recommended(declared in charts/libredb-studio/values.yaml)
Why?
  • Minimum S (512 MB): the project declares it — resources.requests.memory: 256Mi (charts/libredb-studio/values.yaml). We add 25% headroom on top.
  • Recommended S (512 MB): the project runs it with up to 512 MB — The Dockerfile caps the Node.js heap at 384 MB (Dockerfile).
  • It does background work, so it runs always-on.
Get started
$ git clone https://github.com/libredb/libredb-studio.git

A vetted docker-compose.yml, dependency list, and RAM footprint are extracted from the repo during enrichment.

Request a deploy recipeNo one-click recipe yet — request one and we’ll build it.
Self-host docs / repo

Why it ranks

76/ 100 recommended
Deployability55
Maintenance92
Security signals100
Popularity (stars)57
Metadata confidence78
Deployability · L3 · Multi-serviceDetected from repo55% confidence
  • Buildable; needs a deploy recipe
Maintenance · Active developmentDetected from repo

Active commits in the last 3 months

Security signals

  • License Clarity — Clear OSI/known license
  • Actively Hosted — Repository is not archived
  • Maintenance Hygiene — Maintained — security fixes plausible
  • Vulnerability Scan — Image not scanned

Signals are indicators, not guarantees — Source Directory has not audited this project.

Computed by Source Directory (scores-1) · last checked 2026-10-21. Independent of any paid placement.

About

Browser-based SQL IDE for PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Redis, ClickHouse, DuckDB and more, with SSO, audit trail, ER diagrams and optional AI assistance on your own model key (alternative to DataGrip, DBeaver, CloudBeaver).

Description from awesome-selfhosted-data · CC-BY-SA 3.0.

Categories

Database Management