⚡ Dynamically generated stats for your github readmes

Interact with your documents using the power of GPT, 100% privately, no data leaks

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

The fundamental package for scientific computing with Python.

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Convert Machine Learning Code Between Frameworks

SciPy library main repository

A hyperparameter optimization framework

QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Grist is the evolution of spreadsheets.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Modern, extensible Python project management

A modern Python application packaging and distribution tool

A linter for prose.

Build data pipelines, the easy way 🛠️

STUMPY is a powerful and scalable Python library for modern time series analysis

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…

Interactive visualizations of time series using JavaScript and the HTML canvas tag

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Simplified packaging of Python modules

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Geometry Processing Library for Python

a Map/Reduce framework for distributed computing

Persistent HTTP cache for python requests

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)

A Library for Uncertainty Quantification.

All the code examples I use in my videos