t8y2/dbx
25 MB lightweight cross-platform database client for 100+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, and Dameng. Built-in AI, MCP Server, CLI, desktop and Docker. | 轻量级跨平台数据库管理工具,支持 MySQL、PostgreSQL、SQLite、Redis、MongoDB、达梦等 100+ 数据库,提供桌面端、Docker、CLI、内置 AI 助手和 MCP。 observed · 2026-10-19
Health v2 · maintenance only
78/100
- Activity 100
- Release rhythm 88
- Longevity 12
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 175
- days_rel: 2
- days_push: 2
- n_releases_24m: 368
Adoption not part of the score
27137 stars · 2461 forks observed · 2026-10-19
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.97
DBX is a 25 MB cross‑platform database client written in Rust. It provides a GUI, CLI, Docker image and a built‑in AI assistant for managing over 100 databases.
Use cases
- Browse and edit MySQL tables using a graphical interface
- Run ad‑hoc SQL queries on PostgreSQL from the command line
- Connect to Redis or MongoDB and view key/value data
- Use the Docker image to manage remote databases without installing anything locally
- Switch between multiple database types (SQLite, DuckDB, SQL Server, etc.) in a single client
- Leverage the built‑in AI assistant to generate or optimize queries
- Manage local DuckDB files with a lightweight desktop UI
When to choose
- You need a single, lightweight client that works on Windows, macOS and Linux
- You want both a GUI and a CLI for database administration
- You work with many different database engines and prefer a unified interface
- You appreciate AI‑assisted query suggestions and an integrated MCP server
When to avoid
- You require deep, vendor‑specific administration features not provided by DBX
- You need enterprise‑grade security, auditing, or compliance tooling
- You prefer a language‑specific driver library rather than a standalone client
- Your environment is limited to headless servers without any GUI or Docker support
Facets
application · maturity active
cli database databases windows cli rust lightweight cross-platform mcp-server ai-assistant data-engineering linux macos docker desktop
2 sources
- readme: https://github.com/t8y2/dbx · fetched 2026-10-19 · 90319b6897de
- homepage: https://dbxio.com · fetched 2026-08-29 · 23d2f69c83ea
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| t8y2/dbx | main | 78 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem