AI tools for data analysts
Data analysis is a good fit for AI because the answers can be checked. A query either returns the right rows or it does not, and a chart either matches the table or it does not. The tools here let an assistant write SQL against your real schema, work inside a notebook or a spreadsheet, and read from the database directly, so you spend less time on syntax and more on the question.
Text-to-SQL is only as good as its context
A model that has never seen your schema will invent column names. The useful text-to-SQL tools give it the schema, the relationships and sometimes a layer of business definitions, such as what counts as an active customer. That context is the product; the model is the easy part.
Always read the query before you trust the number. Ask the assistant to show its SQL and the row count, and spot-check a few rows.
Notebooks, spreadsheets and databases
AI notebooks and spreadsheets keep the analysis where people already look at it, with the model as a helper in the margin. Database MCP servers go the other way and give an assistant like Claude a direct, ideally read-only, connection.
Use read-only credentials for any server that can reach production data, and keep personal data out of prompts unless your company has cleared the model provider for it.
The list
From SkillScout's catalogue, counted on 27 October 2026: 162 entries matched this topic, and these are the 12 with the most GitHub stars, one per project, after a review for false matches. Descriptions are each project's own. Stars show popularity, not fit.
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Chat2DB
AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
Get the code, then follow its README:
git clone https://github.com/OtterMind/Chat2DB -
teable
AI Spreadsheet for Business
Get the code, then follow its README:
git clone https://github.com/teableio/teable -
marimo
A reactive notebook for Python, run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a...
Get the code, then follow its README:
git clone https://github.com/marimo-team/marimo -
WrenAI
The open context layer that gives AI agents grounded, governed SQL across 20+ data sources.
Get the code, then follow its README:
git clone https://github.com/Canner/WrenAI -
univer
Build AI-native spreadsheets. Univer is a full-stack framework for creating and editing spreadsheets on both web and server. With Univer Platform, Univer Spreadsheets is...
Get the code, then follow its README:
git clone https://github.com/dream-num/univer -
databend
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox., rebuilt from scratch. Unified architecture on your S3.
Get the code, then follow its README:
git clone https://github.com/databendlabs/databend -
lightdash
Agentic BI. Analytics at the speed of code
Get the code, then follow its README:
git clone https://github.com/lightdash/lightdash -
jupyter-ai
An open source extension that connects AI agents to computational notebooks in JupyterLab.
Get the code, then follow its README:
git clone https://github.com/jupyterlab/jupyter-ai -
OfficeCLI
OfficeCLI is the first and best Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files. Free, open-source, single binary...
Get the code, then follow its README:
git clone https://github.com/iOfficeAI/OfficeCLI -
dbhub
Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.
Add it to Claude Code (from the official MCP Registry):
claude mcp add dbhub -- npx -y @bytebase/dbhub -
rill
The fastest business intelligence tool for humans and agents.
Get the code, then follow its README:
git clone https://github.com/rilldata/rill -
codex-lb
Codex/ChatGPT multiple account load balancer & proxy with usage tracking, dashboard, and OpenCode-compatible endpoints
Get the code, then follow its README:
git clone https://github.com/Soju06/codex-lb
Questions
Can ChatGPT or Claude analyse my data?
Yes, if you give them the data or a connection to it. Uploading a CSV works for small files. For a database, a database MCP server or a text-to-SQL tool is safer and scales further.
Which AI tool is best for SQL?
The one that can read your schema. Compare the text-to-SQL entries here on which databases they support and whether they let you add business definitions.
Related
- Best AI tools, sorted by role and task
- MCP servers for databasesPostgres, MySQL, MongoDB and multi-database servers for SQL by chat.
- AI tools for researchersDeep research agents, paper search and reference managers with AI.
- Best AI tools for developersMCP servers and skills that give a coding agent your repo, docs and tools.
Your own list
This page ranks by popularity. SkillScout's scan ranks by fit: the AI you already use writes a short profile of how you work, and SkillScout scores about 22,000 AI tools against your gaps and hands back a short list with install steps. It is free, and the server never saves your profile.