WhoDB is a lightweight and modern database management tool designed to simplify interactions with various database systems, including PostgreSQL, MySQL, SQLite, MongoDB, and Redis. It provides a clean, user-friendly interface that allows developers and data analysts to visualize schemas, execute queries, and manage data without needing complex setups.
The platform features AI-powered capabilities, enabling users to query their data using natural language through integrations with models like OpenAI and Ollama. Additionally, WhoDB offers tools for mock data generation, schema visualization, and in-line data editing, making it a versatile solution for both development and production environments.
Use Cases:
!Release workflow (https://img.shields.io/github/actions/workflow/status/clidey/whodb/release-ce.yml?branch=main) !release version (https://img.shields.io/github/v/release/clidey/whodb) !release date (https://img.shields.io/github/release-date/clidey/whodb) !docker pulls (https://img.shields.io/docker/pulls/clidey/whodb) !release downloads (https://img.shields.io/github/downloads/clidey/whodb/total) !docker size (https://img.shields.io/docker/image-size/clidey/whodb/latest)
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๐ Quick Start โข ๐ Documentation (https://whodb.com/docs/) โข ๐ฎ Live Demo (https://whodb.com/demo/login?host=quick-container-491288b0-3138-48fa-93b4-1e730296c0b7.hello.svc.cluster.local&username=user&password=password&database=Adventureworks) โข ๐ฌ Community (https://github.com/clidey/whodb/discussions)
WhoDB is the modern database management tool that developers actually want to use.
Built with GoLang and React, WhoDB is a lightweight (
๐ Lightning Fast
๐ค AI-Powered
๐ง Developer-Friendly
Spreadsheet-Like Data Grid
Visual Schema Topology
Scratchpad Query Editor
Community Edition (CE): PostgreSQL, MySQL, SQLite3, MongoDB, Redis, MariaDB, ElasticSearch
Enterprise Edition (EE): All CE databases plus Oracle, SQL Server, DynamoDB, Athena, Snowflake, Cassandra, and more
Experience WhoDB in action without any setup
๐ Live Demo Try WhoDB instantly with our sample database
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