Data Science
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
A curated list of Polars talks, tools, examples & articles. Contributions welcome !
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
An open access book on scientific visualization using python and matplotlib
Visualize large time series data with plotly.py
A system for quickly generating training data with weak supervision
Notes on Scientific Computing for Biomechanics and Motor Control
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
📝 An awesome Data Science repository to learn and apply for real world problems.
A light-weight, flexible, and expressive statistical data testing library
A Python package for manipulating 2-dimensional tabular data structures
Visualizations for machine learning datasets
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Visualize and compare datasets, target values and associations, with one line of code.
Easy to use Python library of customized functions for cleaning and analyzing data.
bamboolib - a GUI for pandas DataFrames
Next generation of automated data exploratory analysis and visualization platform.
Missing data visualization module for Python.
Intro to Polars Tutorial
Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.