pandas-ai
pandasql
| pandas-ai | pandasql | |
|---|---|---|
| 14 | 3 | |
| 11,051 | 1,286 | |
| 3.8% | 0.0% | |
| 9.8 | 0.0 | |
| 6 days ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pandas-ai
- PandasAI is great but is there a more general library?
- AI enhanced Pandas Python Library
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[P] Project Asking for Feedbacks, Critiques, and Everything in Between!
I started working on a project recently to familiar myself with LLM's. The project is called matplotlib_ai, and it's inspired by pandas_ai. matplotlib_ai is a package that is able to take in a natural language prompt by the user and generate graphs based on it. As of right now, it uses OpenAI's GPT-3.5 service only (so yes, it requires an API key from OpenAI), but I plan on incorporating other free LLM's too. The GitHub repo is here: https://github.com/notY0rick/matplotlib_ai.
- Trying to run prompt through pandasai and receiving index error
- Pandas AI?
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How do I get Local LLM to analyze an whole excel or CSV?
you could use this https://github.com/gventuri/pandas-ai
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Pandas AI – The Future of Data Analysis
The medium article is ok, if blocked at times. This is just a summary, not by the package author.
You can jump to the code at https://github.com/gventuri/pandas-ai to see more of what it's trying to do.
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AI Weekly rundown (May 7- May 13, 2023): OpenAI's Shap·E, Multimodal GPT, Anthropic's constitutional AI and a lot more.
Pandas gets an AI-powered upgrade. (Link)
- Pandas AI: make data conversational
- PandasAI: Query DataFrames Using LLMs
pandasql
- Pandas AI – The Future of Data Analysis
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Pandas and SQL side by side
There are many more but I've tried to list down the popular ones. To show side by side examples, however, I am not using any database. I have using a SQL engine called pandassql. So to run these examples, you will have to read some data into pandas dataframe and then use pandasql to run SQL queries.
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How to Run SQL Queries on Pandas Data Frames?
Pandasql is an open-source package that lets you run SQL code on pandas data frames. You can check out its repository on GitHub.
What are some alternatives?
RasaGPT - 💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram
MySQL - MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
buckaroo - Buckaroo - the data wrangling assistant for pandas. Quickly explore dataframes, and run pandas commands via a GUI. Works inside the jupyter notebook.
sketch - AI code-writing assistant that understands data content
mito - The mitosheet package, trymito.io, and other public Mito code.
PromptQueries - An open-source C# library for generating LINQ queries using natural language prompts. Uses OpenAI API for language processing. Supports IQueryable data sources. Prevents SQL injection attacks. Simple and easy-to-use API.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
oxia - Oxia - Metadata store and coordination system
nodejs-bigquery - Node.js client for Google Cloud BigQuery: A fast, economical and fully-managed enterprise data warehouse for large-scale data analytics.