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scikit-learn: machine learning in Python
Streamlit — A faster way to build and share data apps.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python packaging and dependency management made easy
Graph Neural Network Library for PyTorch
Typer, build great CLIs. Easy to code. Based on Python type hints.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A terminal spreadsheet multitool for discovering and arranging data
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A light weight Python library for the Spotify Web API
Panel: The powerful data exploration & web app framework for Python
A Python toolbox for performing gradient-free optimization
Fast, flexible and easy to use probabilistic modelling in Python.
Quickly and accurately render even the largest data.
The machine learning toolkit for time series analysis in Python
napari: a fast, interactive, multi-dimensional image viewer for python
An object-oriented algebraic modeling language in Python for structured optimization problems.
Single-cell analysis in Python. Scales to >1M cells.
PySAL: Python Spatial Analysis Library Meta-Package
📈 Adaptive: parallel active learning of mathematical functions
🧬 gget enables efficient querying of genomic reference databases
An open-source application for biological image analysis
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
A Python nearest neighbor descent for approximate nearest neighbors
🔺 Ternary plotting library for python with matplotlib