Auto-Analyst

Paid Self-hostedWeb

What Auto-Analyst is

Auto-Analyst is a data-analysis tool from FireBirdTech that coordinates AI agents across data-science tasks. It can clean data, run statistical analysis and machine learning, and create visualizations from CSV or Excel files. Users can also connect marketing services, CRMs, and databases, then ask questions in natural language. Listed analyses include time-series analysis, trend identification, and predictive modeling. A planner can choose and coordinate agents and gather outputs such as plots and summaries. Its Deep Analysis process organizes questions, agent work, findings, and recommendations. Auto-Analyst can produce interactive charts and graphs that users can export and share with a team. Its editor lets users inspect and adjust generated code, with AI-assisted edits and repair for broken code. Supported LLM providers are OpenAI, Anthropic, Google, Groq, and DeepSeek; users bring their own API keys. The product is available on the web or self-hosted, and is open source under the MIT license. The README describes an Enterprise dashboard for monitoring usage, limits, credits, roles, and permissions.

Who it suits

It suits people who want agent-assisted analysis of files or connected business data, especially those who need to inspect or edit generated code. Self-hosting may suit teams seeking control over their infrastructure and data privacy.

What it does well

Open source under the MIT license.
Accepts CSV and Excel files.
Supports natural-language questions and SQL connections.
Creates interactive charts and shareable insights.
Can be self-hosted on user infrastructure.

What to know first

Users must bring their own LLM API keys.
The analytics dashboard is labeled Enterprise.

Getting started

Open https://www.autoanalyst.ai/.
Choose the web product or host Auto-Analyst on your own infrastructure.
Provide an API key for a supported provider: OpenAI, Anthropic, Google, Groq, or DeepSeek.
Upload a CSV or XLSX file, or connect a listed marketing API, CRM, or database.
Ask an analysis question or use the agent workflow to plan and run analysis.
Inspect or edit generated code in the code editor, then export or share insights.

Verdict

Auto-Analyst combines file-based and connected-data analysis with coordinated agents, visual outputs, and code editing. Its open-source license and self-hosting option may appeal to teams that want control over deployment, while API-key requirements are worth noting.

Questions

Is Auto-Analyst free?

Auto-Analyst is listed as free and open source under the MIT license.

What platforms can I use it on?

Auto-Analyst is available on the web and can also be self-hosted on your own infrastructure.

Which files can I import?

The product supports CSV and XLSX file uploads.

Which language-model providers are supported?

The listed providers are OpenAI, Anthropic, Google, Groq, and DeepSeek. Users bring their own API keys.

Can it connect to databases and business services?

Yes. Listed connections include marketing APIs, CRMs, and databases, including Google Ads, Meta, LinkedIn Ads, HubSpot, Salesforce, Postgres, MySQL, Oracle, and DuckDB.

Who makes Auto-Analyst?

The product credits FireBirdTech as its maker.

Facts from Auto-Analyst's own pages

Agent workflow: A planner can select agents, coordinate their work, and collect results including plots and summaries. · github.com, 9 Oct 2026
Analytics: The product lists time series analysis, trend identification, and predictive modeling. · autoanalyst.ai, 9 Oct 2026
Analytics dashboard: The README labels the analytics dashboard as Enterprise and says it can monitor usage, set limits, allocate credits, and enforce roles and permissions. · github.com, 9 Oct 2026
Code editor: The interface includes a code editor for inspecting and editing generated code, with AI-assisted edits and auto-fix for broken code. · github.com, 9 Oct 2026
Connectors: The site says users can connect marketing APIs, CRMs, and databases for analysis. · autoanalyst.ai, 9 Oct 2026
Custom agents: FireBirdTech offers custom AI agent development tailored to specific data and workflows. · autoanalyst.ai, 9 Oct 2026
Data connectors: The README lists connectors for Google Ads, Meta, LinkedIn Ads, HubSpot, Salesforce, Postgres, MySQL, Oracle, and DuckDB. · github.com, 9 Oct 2026
Deep Analysis: Deep Analysis is described as a five-step process that plans questions, executes with agents, synthesizes findings, and delivers a recommendation. · autoanalyst.ai, 9 Oct 2026
Deployment: The site says users can host Auto-Analyst on their own infrastructure for control over data privacy and security. · autoanalyst.ai, 9 Oct 2026
File support: The site says users can upload CSV and Excel files. · autoanalyst.ai, 9 Oct 2026
File uploads: The README says users can upload CSV and XLSX files. · github.com, 9 Oct 2026
Founded: 2023 · autoanalyst.ai, 28 Sept 2026
Headquarters: Singapore River, Central Region, Singapore · autoanalyst.ai, 28 Sept 2026
Libraries: The listed libraries include Pandas, NumPy, Polars, Scikit-Learn, XGBoost, Plotly, Matplotlib, and Seaborn. · autoanalyst.ai, 9 Oct 2026
License: The product site and repository describe Auto-Analyst as open source under the MIT license. · github.com, 9 Oct 2026
LLM providers: The site names OpenAI, Anthropic, Google, Groq, and DeepSeek as supported providers, with users bringing their own API keys. · autoanalyst.ai, 9 Oct 2026
Maker: The repository identifies Firebird Technologies as the maker. · github.com, 9 Oct 2026
Purpose: Auto-Analyst describes itself as an open-source AI data scientist for data analysis. · autoanalyst.ai, 9 Oct 2026
Security and deployment: The product site says it can be hosted on the user's own infrastructure for data privacy and security control. · autoanalyst.ai, 9 Oct 2026
Support and inquiries: The README directs collaboration and enterprise inquiries to the product's contact page. · github.com, 9 Oct 2026
Visualizations: It can generate interactive charts and graphs and lets users export and share insights with their team. · autoanalyst.ai, 9 Oct 2026
What it does: Auto-Analyst automates data science workflows including data cleaning, statistical analysis, machine learning, and visualization. · github.com, 9 Oct 2026
Workflow: It uses specialized agents that work together on data science workflows. · autoanalyst.ai, 9 Oct 2026

Where Auto-Analyst stands on Freedom251

AI Data Analysis Tools#24 of 27