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AI Data Analyst Chatbot

github.com

Free plan WebSelf-hosted
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Spec score 8.0 #10 of 27 in AI Data Analysis Tools

What it is

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.

Spec sheet

What it does
The chatbot lets users explore, analyze, and understand structured datasets by asking questions in natural language.Read 8 Oct 2026 · github.com
Deployment
The README instructs users to install dependencies and launch the app with Streamlit, which makes it available at localhost:8501.Read 8 Oct 2026 · github.com
License
The repository provides the software under the MIT License.Read 8 Oct 2026 · github.com
Maker
The GitHub profile identifies the maker as Priyansh Khandelwal and says he is pursuing a Master’s in Computer Science at the University of Sydney.Read 8 Oct 2026 · github.com
Data handling
Uploaded data is processed in-session and is not permanently stored.Read 8 Oct 2026 · github.com
Data inputs
It supports uploaded CSV and Excel (XLSX) files.Read 8 Oct 2026 · github.com
Data profiling
The project describes automated profiling for columns, distributions, summary statistics, missing values, duplicates, and data quality issues.Read 8 Oct 2026 · github.com
Integration requirement
Running the app requires a Groq API key set as the GROQ_API_KEY environment variable.Read 8 Oct 2026 · github.com
Natural language interface
Users can ask questions in plain English without requiring SQL or extensive coding knowledge.Read 8 Oct 2026 · github.com
Statistical analysis
It can surface variation, outliers, correlations, patterns, and recommendations for statistical tests.Read 8 Oct 2026 · github.com
Support and contributions
The README invites users to contribute through forks, pull requests, or issues for enhancements and bug fixes.Read 8 Oct 2026 · github.com
Technology
The project lists Streamlit, pandas, NumPy, SciPy, Plotly, LangChain, and Groq LLM (LLaMA 3.1) among its technologies.Read 8 Oct 2026 · github.com
Visualizations
The chatbot provides interactive visualizations and explanations alongside statistical insights.Read 8 Oct 2026 · github.com
Who it is for
The project describes itself as built for analysts and data practitioners.Read 8 Oct 2026 · github.com

Plans and prices

Open-source software Free MIT-licensed · CSV and XLSX input · Requires a Groq API key Read 8 Oct 2026 · github.com

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Strong points and limits

Strong points

  • Free MIT-licensed open-source software
  • Accepts CSV and XLSX uploads
  • Profiles missing values and duplicates
  • Provides interactive visualizations
  • Processes uploads only during sessions

Limits

  • Requires a Groq API key
  • Self-hosted setup requires installation
  • No SQL connections
  • No team collaboration

Who it suits

It suits analysts and data practitioners who want conversational exploration of CSV or XLSX files. It is intended for users comfortable installing and running a self-hosted Streamlit application.

Verdict

This chatbot provides a focused natural-language workflow for profiling and analyzing uploaded spreadsheet data. Its self-hosted setup and Groq dependency are central considerations.

Where Specifiction places it

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