Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
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Statsmodels: statistical modeling and econometrics in Python
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.
An open access book on scientific visualization using python and matplotlib
An open source multi-tool for exploring and publishing data
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NumPy aware dynamic Python compiler using LLVM
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Fast and Accurate ML in 3 Lines of Code
Open source annotation tool for machine learning practitioners.
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Modin: Scale your Pandas workflows by changing a single line of code
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A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A unified framework for machine learning with time series
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
A python library for user-friendly forecasting and anomaly detection on time series.
Deep learning library featuring a higher-level API for TensorFlow.
A terminal spreadsheet multitool for discovering and arranging data
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Ready-to-run Docker images containing Jupyter applications
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Multi-user server for Jupyter notebooks
A collection of libraries to optimise AI model performances