Auto-Analyst

Spec sheet

What it does

Auto-Analyst automates data science workflows including data cleaning, statistical analysis, machine learning, and visualization.Read 9 Oct 2026 · github.com

Purpose

Auto-Analyst describes itself as an open-source AI data scientist for data analysis.Read 9 Oct 2026 · autoanalyst.ai

Deployment

The site says users can host Auto-Analyst on their own infrastructure for control over data privacy and security.Read 9 Oct 2026 · autoanalyst.ai

License

The product site and repository describe Auto-Analyst as open source under the MIT license.Read 9 Oct 2026 · github.com

Headquarters

Singapore River, Central Region, SingaporeRead 28 Sep 2026 · autoanalyst.ai

Founded

2023Read 28 Sep 2026 · autoanalyst.ai

Maker

The repository identifies Firebird Technologies as the maker.Read 9 Oct 2026 · github.com

Agent workflow

A planner can select agents, coordinate their work, and collect results including plots and summaries.Read 9 Oct 2026 · github.com

Analytics

The product lists time series analysis, trend identification, and predictive modeling.Read 9 Oct 2026 · autoanalyst.ai

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.Read 9 Oct 2026 · github.com

Code editor

The interface includes a code editor for inspecting and editing generated code, with AI-assisted edits and auto-fix for broken code.Read 9 Oct 2026 · github.com

Connectors

The site says users can connect marketing APIs, CRMs, and databases for analysis.Read 9 Oct 2026 · autoanalyst.ai

Custom agents

The README says users can add custom agents, including for marketing, quantitative finance, and web APIs.Read 9 Oct 2026 · github.com

Data connectors

The README lists connectors for Google Ads, Meta, LinkedIn Ads, HubSpot, Salesforce, Postgres, MySQL, Oracle, and DuckDB.Read 9 Oct 2026 · github.com

Deep Analysis

Deep Analysis is described as a five-step process that plans questions, executes with agents, synthesizes findings, and delivers a recommendation.Read 9 Oct 2026 · autoanalyst.ai

File support

The site says users can upload CSV and Excel files.Read 9 Oct 2026 · autoanalyst.ai

File uploads

The README says users can upload CSV and XLSX files.Read 9 Oct 2026 · github.com

Libraries

The listed libraries include Pandas, NumPy, Polars, Scikit-Learn, XGBoost, Plotly, Matplotlib, and Seaborn.Read 9 Oct 2026 · autoanalyst.ai

LLM providers

The site names OpenAI, Anthropic, Google, Groq, and DeepSeek as supported providers, with users bringing their own API keys.Read 9 Oct 2026 · autoanalyst.ai

Security and deployment

The product site says it can be hosted on the user's own infrastructure for data privacy and security control.Read 9 Oct 2026 · autoanalyst.ai

Support and inquiries

The README directs collaboration and enterprise inquiries to the product's contact page.Read 9 Oct 2026 · github.com

Visualizations

It can generate interactive charts and graphs and lets users export and share insights with their team.Read 9 Oct 2026 · autoanalyst.ai

Workflow

It uses specialized agents that work together on data science workflows.Read 9 Oct 2026 · autoanalyst.ai

Where Specifiction places it

• AI Data Analysis Tools#17 of 277.6