Cookbook 2nd alternatives for AI agents.

The fastest way to turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Visualizer for pandas data structures

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

Visualize and compare datasets, target values and associations, with one line of code.

Streamlit — A faster way to build and share data apps.

🕸️ Web apps in pure Python 🐍

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

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

matplotlib: plotting with Python

Statistical data visualization in Python

WebApps in pure Python. No JavaScript, HTML and CSS needed

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

Python Data. Leaflet.js Maps.