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The Prometheus monitoring system and time series database.

Scalable datastore for metrics, events, and real-time analytics

An open-source big data platform designed and optimized for the Internet of Things (IoT).

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

The plugin-driven server agent for collecting & reporting metrics.

An open-source and enterprise-level monitoring system.

A highly scalable real-time graphing system

Automatic extraction of relevant features from time series:

High-performance time-series aggregation for PostgreSQL

Open source framework for processing, monitoring, and alerting on time series data

💡 A Distributed and High-Performance Monitoring System

Open source time series library for Python

A Python toolbox for gaining geometric insights into high-dimensional data

A unified toolbox for machine learning with time series

An open source SQL database designed to process time series data, faster

1st place solution

Time Series Forecasting Best Practices & Examples

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.

Probabilistic time series modeling in Python

List of tools & datasets for anomaly detection on time-series data.

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

A machine learning toolkit dedicated to time-series data

Distributed Prometheus time series database

DataFrame Server for Financial Timeseries Data

JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily

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

This curated list contains python packages for time series analysis

TrailDB is an efficient tool for storing and querying series of events

A Java package to automatically detect anomalies in large scale time-series data