time-series

Unified Training of Universal Time Series Forecasting Transformers

ARCH models in Python

Making SLOs with Prometheus manageable, accessible, and easy to use for everyone!

Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.

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

Distributed Prometheus time series database

Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data

A toolkit for time series machine learning and deep learning

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

Automated Time Series Forecasting

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Unsupervised time series anomaly detection library

An aggregating proxy to enable HA prometheus

Scalable machine 🤖 learning for time series forecasting.

Whisper is a file-based time-series database format for Graphite.

Portfolio optimization and back-testing.

An embedded time-series database

A Python toolkit for rule-based/unsupervised anomaly detection in time series

Visualize large time series data with plotly.py

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

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

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

RRDtool 1.x - Round Robin Database

An intuitive library to extract features from time series.

An Awesome List of the latest time series papers and code from top AI venues.

Lightweight, useful implementation of conformal prediction on real data.

list of papers, code, and other resources

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"