Software:PandasAI
| Developer(s) | Gabriele Venturi, Massimiliano Pronesti, Arslan Saleem |
|---|---|
| Initial release | April 2023 |
| Stable release | v2.0
/ March 2024 |
| Repository | github.com/Sinaptik-ai/pandas-ai |
| Written in | Python and JavaScript |
| Type | library for conversational data analysis |
| License | MIT License |
| Website | pandas-ai.com |
PandasAI is an open-source Python library that enhances the functionality of the popular pandas library by integrating it with Large Language Models (LLMs). This approach allows users to interact with data frames through natural language[1], making data analysis more accessible and efficient[2]. PandasAI is distributed under MIT license.
How it works
PandasAI provides a natural language semantic layer that uses large language models (LLMs) to convert the user query into pandas and SQL code[3]. The code is then executed and the output of the analysis is returned to the user.
PandasAI is not limited to the pandas library, but it can use the whole ecosystem, including libraries like NumPy for computantion-heavy calculation, scikit-learn for basic ML tasks[4] and matplotlib, seaborn and plotly for data visualization[5].
History
PandasAI was launched on April 2023 as an open source project by Gabriele Venturi. It immediately earned traction, reaching the milestone of 5.000 stars on GitHub in approximately 2 weeks[6].
The company, based in Munich, after incorporating in May 2023 announced a $1.1M pre-seed round from Runa Capital, Episode 1 and Exor Ventures in September 2023[7][8][9].
References
- ↑ "Pandas AI: Supercharging data analysis with generative AI" (in en). 2023-06-18. https://dev.to/codemaker2015/pandas-ai-supercharging-data-analysis-with-generative-ai-6lp.
- ↑ "Pandas AI: The Generative AI Python Library" (in en-US). 2023-06-08. https://www.geeksforgeeks.org/pandas-ai/.
- ↑ "Pandas AI: The Generative AI Python Library" (in en-US). https://www.kdnuggets.com/pandas-ai-the-generative-ai-python-library.
- ↑ "Official documentation". https://docs.pandas-ai.com/en/latest/.
- ↑ Muskan, Vivek (2023-07-01). "How to leverage AI for Data Visualization using pandas?" (in en). https://medium.com/@viveklistenus/how-to-leverage-ai-for-data-visualization-using-pandas-83ba49f60be.
- ↑ "GitHub Star History". https://star-history.com/#sinaptik-ai/pandas-ai&Date.
- ↑ "PandasAI raises $1.1M in Pre-Seed round for AI-powered data analysis" (in en-GB). 2023-09-29. https://tech.eu/2023/09/29/pandasai-raises-11m-in-pre-seed-round-for-ai-powered-data-analysis/.
- ↑ Escárzaga, Antonio L. (2023-09-29). "Munich-based PandasAI raises over €1 million for its AI-powered data analysis assistant" (in en-US). https://www.eu-startups.com/2023/09/munich-based-pandasai-raises-over-e1-million-for-its-ai-powered-data-analysis-assistant/.
- ↑ "Why 'AI copilot' startups are so hot with VCs right now" (in en). https://fortune.com/2023/10/02/ai-copilot-startups-venture-capital/.
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