PandasAI
The conversational way for dealing with data
PandasAI launched on May 4, 2023 with 106 votes, #466 of 4,910 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
PandasAI is open-source library built around Pandas that lets you interact with data frames easily, in a conversational way.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. - sinaptik-ai/pandas-ai
Does a similar job
all alternatives →- BABamboolib – A GUI for Pandas (Python Data Science)2019 · bamboolib.com · ▲119


Bamboolib – A GUI for Pandas – Free on Kaggle2020 · kaggle.com · ▲16Explore and run AI code with Kaggle Notebooks | Using data from No attached data sources
Data Bonsai: a Python package to clean your data with LLMs2024 · github.com · ▲47I've been doing some data cleaning for my fine tuning projects using LLMs, and decided to just build a package for it as a side project. Check it out here: https://github.com/databonsai/databonsai Some features: - categorization (labelling), transformation and decomposition (text into structured format) - validates llm outputs - batch mode batches up the inputs/outputs so you don't send the prompt (schema, fewshot examples) for every row of data, saving a significant amount of tokens There are some similarities to the Instructor repo, but this is simpler and made for…
Chat with your data using LangChain, Pinecone, and Airbyte2023 · airbyte.com · ▲220Hi HN, A few of our team members at Airbyte (and Joe, who killed it!) recently played with building our own internal support chat bot, using Airbyte, Langchain, Pinecone and OpenAI, that would answer any questions we ask when developing a new connector on Airbyte. As we prototyped it, we realized that it could be applied for many other use cases and sources of data, so... we created a tutorial that other community members can leverage [http://airbyte.com/tutorials/chat-with-your-data-using-opena...] and the Github repo to run it…
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