预测与分析

基于历史数据预测未来:销量、需求、异常检测

数据截至 8/1 18:48(构建快照,正在获取最新)

仍在维护排序:先筛掉近 30 天没有提交的项目,再按热度排。 高 star 但早已停更的项目不会出现在这里。

  1. 1
    MiroFishGitHub预测与分析AGPL-3.0

    A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物

    69.8kstar9 天前提交Python
  2. 2
    prometheusGitHub预测与分析Apache-2.0

    The Prometheus monitoring system and time series database.

    65.4kstar今天有提交Go
  3. 3
    influxdbGitHub预测与分析Apache-2.0

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

    31.7kstar今天有提交Rust
  4. 4
    TDengineGitHub预测与分析AGPL-3.0

    High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

    25.0kstar1 天前提交C
  5. 5
    timescaledbGitHub预测与分析

    A time-series database for high-performance real-time analytics packaged as a Postgres extension

    23.2kstar今天有提交C
  6. 6
    telegrafGitHub预测与分析MIT

    Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.

    17.7kstar今天有提交Go
  7. 7
    questdbGitHub预测与分析Apache-2.0

    QuestDB is a high performance, open-source, time-series database

    17.2kstar今天有提交Java
  8. 8
    nightingaleGitHub预测与分析Apache-2.0

    Nightingale is to monitoring and alerting what Grafana is to visualization.

    13.2kstar今天有提交Go
  9. 9
    autogluonGitHub预测与分析Apache-2.0

    Fast and Accurate ML in 3 Lines of Code

    10.6kstar今天有提交Python
  10. 10
    pyodGitHub预测与分析BSD-2-Clause

    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.

    9.9kstar今天有提交Python
  11. 11
    sktimeGitHub预测与分析BSD-3-Clause

    A unified framework for machine learning with time series

    9.9kstar今天有提交Python
  12. 12
    pycaretGitHub预测与分析

    Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

    9.8kstar9 天前提交Python
  13. 13
    dartsGitHub预测与分析Apache-2.0

    A python library for user-friendly forecasting and anomaly detection on time series.

    9.5kstar1 天前提交Python
  14. 14
    tsfreshGitHub预测与分析MIT

    Automatic extraction of relevant features from time series:

    9.3kstar26 天前提交Jupyter Notebook
  15. 15
    vectorbtGitHub预测与分析

    The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

    8.5kstar17 天前提交Python
  16. 16
    graphite-webGitHub预测与分析Apache-2.0

    A highly scalable real-time graphing system

    6.1kstar12 天前提交JavaScript
  17. 17
    tsaiGitHub预测与分析Apache-2.0

    Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

    6.1kstar8 天前提交Jupyter Notebook
  18. 18
    PlotJugglerGitHub预测与分析MPL-2.0

    The Time Series Visualization Tool that you deserve.

    6.1kstar12 天前提交C++
  19. 19
    chronos-forecastingGitHub预测与分析Apache-2.0

    Chronos: Pretrained Models for Time Series Forecasting

    5.7kstar30 天前提交Python
  20. 20
    gluontsGitHub预测与分析Apache-2.0

    Probabilistic time series modeling in Python

    5.2kstar今天有提交Python
  21. 21
    statsforecastGitHub预测与分析Apache-2.0

    Lightning ⚡️ fast forecasting with statistical and econometric models.

    4.9kstar4 天前提交Python
  22. 22
    neuralforecastGitHub预测与分析Apache-2.0

    Scalable and user friendly neural :brain: forecasting algorithms.

    4.2kstar今天有提交Python
  23. 23
    nixtlaGitHub预测与分析

    TimeGPT-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 🚀.

    4.0kstar1 天前提交Jupyter Notebook
  24. 24
    SDVGitHub预测与分析

    Synthetic data generation for tabular data

    3.5kstar2 天前提交Python
  25. 25
    tslearnGitHub预测与分析BSD-2-Clause

    The machine learning toolkit for time series analysis in Python

    3.2kstar今天有提交Python

另有 16 个项目因近期无提交或缺少数据未列入。

预测与分析要落到业务里,还差什么?

开源项目给的是能力,不是方案。数据怎么接、权限怎么管、上线后谁维护,这些才是落地的真正成本。