ruptures: change point detection in Python

A python library for fast and flexible changepoint detection

Foreign exchange rates, Bitcoin price index and currency conversion using ratesapi.io

Open Data Platform for analysts, quants and AI agents.

Latex code for making neural networks diagrams

Pseudo API for Google Trends

LlamaIndex is the leading document agent and OCR platform

Time series easier, faster, more fun. Pytimetk.

What the f*ck Python? 😱

Algorithms for outlier, adversarial and drift detection

🌊 Online machine learning in Python

Scalable and user friendly neural 🧠 forecasting algorithms.

A toolkit for time series machine learning and deep learning

tsbootstrap: generate bootstrapped time series samples in Python

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecas…

Python library that makes it easy for data scientists to create charts.

Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurIPS'24

Monitor the stability of a Pandas or Spark dataframe ⚙︎

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…

Automated modeling and machine learning framework FEDOT

MetricFlow allows you to define, build, and maintain metrics in code.

MLBox is a powerful Automated Machine Learning python library.

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

Create stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

An open access book on scientific visualization using python and matplotlib

🍦 Never use print() to debug again.

Statsmodels: statistical modeling and econometrics in Python