Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Repository Index
47,133 repositories indexed
1–14 of 14 · Most stars
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Fast and Accurate ML in 3 Lines of Code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Feature engineering and selection open-source Python library compatible with sklearn.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
moDel Agnostic Language for Exploration and eXplanation
NFStream: a Flexible Network Data Analysis Framework.
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.