Repository for Timestral, the time-series foundation model by Mistral AI
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
The Prometheus monitoring system and time series database.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Scalable datastore for metrics, events, and real-time analytics
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
A time-series database for high-performance real-time analytics packaged as a Postgres extension
Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
QuestDB is a high performance, open-source, time-series database
Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.
Fast and Accurate ML in 3 Lines of Code
๐ A small, fast chart for time series, lines, areas, ohlc & bars
A unified framework for machine learning with time series
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
A python library for user-friendly forecasting and anomaly detection on time series.
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
All-in-One Development Tool based on PaddlePaddle
The Time Series Visualization Tool that you deserve.
Chronos: Pretrained Models for Time Series Forecasting
A highly scalable real-time graphing system
Probabilistic time series modeling in Python
Lightning โก๏ธ fast forecasting with statistical and econometric models.
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
NeuralProphet: A simple forecasting package
Scalable and user friendly neural :brain: forecasting algorithms.
STUMPY is a powerful and scalable Python library for modern time series analysis
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code ๐.
ACID Document Database
Synthetic data generation for tabular data
The machine learning toolkit for time series analysis in Python
้ขๅ A ่กๆฅKใๅ้KไธETFๅ้ๆฐๆฎ็ๆฌๅฐ้ๅๅผๆ๏ผ้ๆๅข้ๅๆญฅใๆฌๅฐ็ผๅญใๅคๆใๆน้ๆฅ่ฏขใๅๆตไธๆๆ ่ฎก็ฎใ
Deep Learning Server and CLI for Torch and TensorRT
Open source framework for processing, monitoring, and alerting on time series data
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
A Python toolbox for gaining geometric insights into high-dimensional data
A Python package for time series classification
Python AutoML for Trading Systems and Sports Betting
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
ARCH models in Python
Python Streaming DataFrames for Kafka
Making SLOs with Prometheus manageable, accessible, and easy to use for everyone!
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
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.
Distributed Prometheus time series database
A toolkit for time series machine learning and deep learning
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
Automated Time Series Forecasting
Unsupervised time series anomaly detection library
An aggregating proxy to enable HA prometheus
Scalable machine ๐ค learning for time series forecasting.
Visualize large time series data with plotly.py
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.
An Awesome List of the latest time series papers and code from top AI venues.
Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Time series easier, faster, more fun. Pytimetk.