{"repo":"gazerlabs/datachat","free":true,"listed":false,"github":"https://github.com/gazerlabs/datachat","clone":"git clone https://github.com/gazerlabs/datachat.git","description":"AI-powered analytics through conversation. Open source, self-hostable.","language":"Python","stars":12,"topics":[],"license":"Apache-2.0","category":"analytics","readme_excerpt":"Datachat Open-source, AI-powered analytics. Connect a data warehouse (or upload a file), then chat with Claude to query it in natural language. Charts, scheduled email digests, multi-tenant orgs, and a full-featured chat UI included. TL;DR --- Table of Contents - What is Datachat? - Features - Screenshots - Quickstart - Setting up the LLM API key (Anthropic) - Setting up authentication (Clerk) - Architecture - Modular customization - Adding a new warehouse type - Configuring Claude models - Replacing the auth provider (Clerk) - Why there's no billing in this distribution - Replacing the email provider (Resend) - Adding an MCP server (Salesforce, etc.) - Adding a context-file integration (dbt, Omni) - Customizing the report scheduler - Customizing the demo warehouse - Configuration - Deployment - Operating Datachat - Inviting teammates to your workspace - Getting accurate answers: data hygiene + context - Hosted vs self-hosted - Contributing - License --- What is Datachat? Datachat lets non-technical users query their data warehouse by typing questions in plain English. The backend translates the question into SQL (using Anthropic's Claude), runs it against the user's connected warehouse, and renders the result as a table or chart in chat. Saved visualizations can be bundled into reports that ship as scheduled email digests. It is not a notebook tool, BI dashboard, or general-purpose AI agent. It's a focused chat-to-SQL surface with multi-warehouse support, persistent conversa","default_branch":null,"files":null,"tree":[],"storefront":"/r/gazerlabs","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/gazerlabs/datachat/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}