Predict time-series with one line of code.

Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.

openseries is a project with tools to analyze financial timeseries of a single asset or a group of assets. It is solely made for daily or less frequent data.

Function to calculate consistency of phase at a given frequency across measurements

Official PyTorch Implementation for the "A Deep Inverse-Mapping Model for a Flapping Robotic Wing" Paper (ICLR 2025)

Performant, composable online learning

Basic time-series setup, using "Air Quality" dataset. The Data was recorded from March 2004 to February 2005 (one year) and will enable us to produce the following aggregations using only Redis to do the aggregations and operations on the data

VRFF is a Video Registration and Fusion Framework. VRFF effectively alleviates the flickering issues in video stream fusion.

Using lstms to predict the Dow Jones Industrial Average(stock index) from news

Python framework to manage time series structured as one-level dictionaries.

Python framework to manage time series

TSPERF Time Series Database Benchmark Suite. Framework for evaluating and comparing the performance of time series databases, in the spirit of TimescaleDB's TSBS.

A collection of data analysis tools for post-processing raw data and getting it into workable formats in python for further analysis

Python package for CITS algorithm: Causal inference from time series data

High-level lib for reading and writing physiological data into mef file format using python wrapper pymef for meflib.

Import and export data into/from InfluxDB.