#statistics

scikit-learn: machine learning in Python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Lightning ⚡️ fast forecasting with statistical and econometric models.

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Powerful add-ons for PyMC

Statsmodels: statistical modeling and econometrics in Python

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Declarative visualization library for Python

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets