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LTSF-Linear 是用 Python 编写的学习资料，用于系统学习与查阅。

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Autoformer 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv…

griddb 是用 C++ 编写的数据库工具，用于数据存储与查询，主打速度快、易用、开源免费。

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

kapacitor 是用 Go 编写的运维工具，用于部署、编排与监控，主打开源免费。

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

flow-forecast 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

awesome_time_series_in_python 是一个学习资料，用于系统学习与查阅。

This curated list contains python packages for time series analysis

pyflux 是用 Python 编写的代码库，提供可直接复用的能力，主打开源免费。

Open source time series library for Python

TimeMixer 是用 Python 编写的学习资料，用于系统学习与查阅。

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

hypertools 是用 Python 编写的可视化工具，用于图表与数据展示。

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

pyts 是用 Python 编写的学习资料，用于系统学习与查阅。

A Python package for time series classification

liquid_time_constant_networks 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Code Repository for Liquid Time-Constant Networks (LTCs)

kaggle-web-traffic 是用 Jupyter Notebook 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

1st place solution

BasicTS 是用 Python 编写的实用工具，用于解决具体场景问题，主打可伸缩。

A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

cnosdb 是用 Rust 编写的数据库工具，用于数据存储与查询，主打高性能、可伸缩、开源免费。

A cloud-native open source distributed time series database with high performance, high compression ratio and high availability.

TFB 是用 Shell 编写的学习资料，用于系统学习与查阅，主打功能完整。

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

pmdarima 是用 Python 编写的学习资料，用于系统学习与查阅。

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

tods 是用 Python 编写的学习资料，用于系统学习与查阅。

TODS: An Automated Time-series Outlier Detection System

uni2ts 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Unified Training of Universal Time Series Forecasting Transformers

lag-llama 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

pyrra 是用 Go 编写的运维工具，用于部署、编排与监控，主打易用。

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

carbon 是用 Python 编写的开发框架，用于搭建服务端与接口。

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…

FiloDB 是用 Scala 编写的数据库工具，用于数据存储与查询，主打可伸缩。

Distributed Prometheus time series database

aeon 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

A toolkit for time series machine learning and deep learning

tsbs 是用 Go 编写的数据库工具，用于数据存储与查询。

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