GStars
    sinaptik-ai

    sinaptik-ai/pandas-ai

    Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

    ai
    analytics
    database
    llm
    csv
    data
    data-analysis
    data-science
    data-visualization
    Python
    NOASSERTION
    23.9K stars
    2.3K forks
    23.9K GitHub watchers
    Updated Nov 2, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 391 days ago, with 109 contributors on GitHub.

    Gained 33% more stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Enables conversational data analysis by querying databases and data files using natural language and large language models.
    • Simplifies data interaction by allowing both technical and non-technical users to ask questions and generate visualizations without complex code.
    • Use for exploring and summarizing CSV or parquet datasets interactively in Jupyter notebooks or Streamlit apps.
    • Use for integrating natural language querying into Python applications to analyze multiple related dataframes simultaneously.
    • Use for securely executing data queries and analysis in isolated Docker sandboxes to mitigate security risks.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Other

    GitHub could not identify this license; read the LICENSE file before depending on it.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • License not identified by GitHub; read the LICENSE file before depending on it.
    • Warning: No commits in over a year (last push Oct 2025).

    General guidance from repository metadata, not legal advice. How we score

    From the README

    PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. It helps non-technical users to interact with their data in a more natural way, and it helps technical users to save time, and effort when working with data.

    You can find the full documentation for PandasAI here.

    You can either decide to use PandasAI in your Jupyter notebooks, Streamlit apps, or use the client and server architecture from the repo.

    Excerpt from the sinaptik-ai/pandas-ai README on GitHub (NOASSERTION license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    2.3K+9

    Open issues

    23+2

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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