Apache Superset is a Data Visualization and Data Exploration Platform
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Updated
Oct 2, 2026 - Python
Apache Superset is a Data Visualization and Data Exploration Platform
Open Source Business Intelligence Tool
이기종 DB를 한 화면에서 안전하게 조회하고, 그 조회를 드래그앤드롭 파이프라인으로 굳히는 자체 EAI 플랫폼. 읽기 전용이 기본이고 AI는 로컬 오픈웨이트 모델로도 돈다.
Data query platforms (MySQL, PostgreSQL, TiDB, Redis, MongoDB)
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.
Build and manage AI agents to automate data research, track markets, and run multi-agent workflows with an open-source framework.
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 lightweight macOS desktop client for Snowflake: SQL editor, results grid and schema browser, using your existing snow CLI connections.
Provides a dark-themed PyQt6 interface for browsing, editing, and querying local SQLite databases.
Role-based dynamic onboarding portal (HR & Employee) built with Streamlit, deployed as a Databricks App with Unity Catalog for authentication and persistent data storage.
Most database clients stop at databases. DataForge Studio puts SQL Server, MySQL, PostgreSQL, SQLite, Access, local folders, FTP/FTPS/SFTP and an image library into the same workspaces — with a SQL editor, interactive ER diagrams and a CSV/JSON/Excel viewer. Python / PySide6.
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