AI Data Analyst Chatbot vs Byaan

AI Data Analyst Chatbot is free, MIT-licensed software for self-hosted web use. It lets analysts and data practitioners explore structured datasets by asking questions in plain English, without SQL or extensive coding knowledge. Users upload CSV or Excel (XLSX) files, which are processed during the session and not permanently stored. Automated profiling covers columns, distributions, summary statistics, missing values, duplicates, and data-quality issues. Statistical analysis can surface variation, outliers, correlations, and patterns, and suggest statistical tests. Interactive visualizations accompany explanations and statistical insights. The project lists Streamlit, pandas, NumPy, SciPy, Plotly, LangChain, and Groq LLM (LLaMA 3.1). Running the app requires a Groq API key in the GROQ_API_KEY environment variable; the README directs users to install dependencies and launch Streamlit at localhost:8501. There are no SQL connections or team-collaboration features. Contributions are invited through forks, pull requests, or issues.

Byaan is an AI data analyst for asking questions in natural language about connected databases and files. It accepts SQL connections and file imports including CSV, Excel, Parquet, and JSON, alongside PostgreSQL, MongoDB, MySQL, MSSQL, and SQLite. Users can work through Slack, a Mac app, or MCP clients such as Claude Code, Cursor, and Codex, using keys from supported model providers including Anthropic, OpenAI, Azure, Bedrock, Groq, OpenRouter, and xAI. Byaan can retain organizational context and workflows as reusable skills, and read a connected GitHub repository for business rules and data intent. It can produce interactive dashboards and export reports as PDF, Excel, or standalone HTML. The maker says it prevents DDL and DML writes to supported data sources. The Mac App is free for individuals and MIT licensed. A Team Version is self-hosted in a VPC, with multi-user authentication, RBAC, Slack, and automatic HTTPS; it requires Linux and Docker, with 2 GB RAM minimum and 4 GB recommended.