Data query platforms (MySQL, PostgreSQL, TiDB, Redis, MongoDB)
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Updated
Apr 3, 2026 - Python
Data query platforms (MySQL, PostgreSQL, TiDB, Redis, MongoDB)
Build and manage AI agents to automate data research, track markets, and run multi-agent workflows with an open-source framework.
AI-powered natural-language BI platform: NL→SQL→dashboard plus a power-user SQL editor, root-cause, proactive AI digest, agentic copilot, semantic/trust layer, workspaces + RBAC + row-level security, embedded analytics + white-label, FP&A scenario planning. FastAPI + React.
Local-first Python/Tkinter SQLite database browser with SQL editor, schema view, search, CSV export, and JSON companion export.
Luck is an advanced client tool that allows users to connect via ODBC to create, edit, and execute SQL's ETL. The integrated editor is designed to streamline ETL scripting with advanced editing and reading features.
A terminal-native database IDE. Keyboard-first, async, pluggable
Dark-themed PyQt6 desktop app for browsing, editing, and querying SQLite databases. Schema tree, syntax-highlighted SQL editor, inline row editing, CSV export, and safe transaction commit/rollback — all in an obsidian/teal industrial UI. No server, no cloud, just a local .db file.
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