Read and write MEF 3.0 (Multiscale Electrophysiology Format) EEG, iEEG and ECG recordings from Python, MATLAB and C++. One C++ core, compatible with meflib, pymef and mef_tools.
Scientific computing platform on NumPy/SciPy/pandas/matplotlib: linear algebra, stats, optimization, signals, ML, information theory, chaos, Bayes, metaheuristics, geometry and RL.
Python client for TimescaleDB, the open-source time-series database built on PostgreSQL. This package is built on SQLModel and SQLAlchemy and is designed to be used with FastAPI, Flask, Django 5.2+, and other Python web or data projects.
TimeSeries, provides convenient tools for working with time series data in C#. It includes classes for accumulating and summarizing data in time frames, as well as storing and compressing the data efficiently
Anomx is a library for time series datasets, forecasting, modeling, and anomaly detection. It provides modular tools for building interpretable workflows that help researchers and engineers understand temporal patterns, detect unusual behavior, and evaluate predictive models.
IoT protocol components for RuleGo — unified acquisition (read/write), time-series storage, and soft-PLC logic control across 9 industrial protocols and 5 TSDB backends.
Causal inference and causal discovery for Go: Granger causality, PC-stable and DirectLiNGAM structure learning in pure standard library - zero dependencies, CGO-free, deterministic.