Topics / #forecasting

Forecasting projects on GitHub

Time series forecasting models for predicting future values.

As of , the most-starred Forecasting projects on GitHub are MiroFish (79.8K stars), qlib (49.4K stars) and Kronos (40.9K stars). GitHub.Locker tracks 17 Forecasting repositories with 347.5K stars combined. The fastest-growing on October 16 was MiroFish, with +251 stars in a day.

17Projects
347.5KStars in total
+377Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

17 projects · by stars

  1. #1 · 666ghj/MiroFish

    MiroFish

    MiroFish is an AI-powered multi-agent simulation engine that builds a high-fidelity digital parallel world from real-world seed data (breaking news, policy drafts, financial signals) and lets thousands of independent agents interact to forecast future outcomes.

    79.8K
  2. #2 · microsoft/qlib

    qlib

    Qlib is Microsoft's open-source, AI-oriented quantitative investment platform that covers the full quant research pipeline — data processing, model training, backtesting, and order execution — using supervised learning, market-dynamics modeling, and reinforcement learning.

    49.4K
  3. #3 · shiyu-coder/Kronos

    Kronos

    Kronos is an open-source foundation model for financial candlestick (K-line) data, pretrained on data from over 45 global exchanges to produce price/volume forecasts.

    40.9K
  1. 4

    timesfm

    34.6Kgoogle-research/timesfm · Python

    TimesFM is a pretrained time-series foundation model from Google Research used for time-series forecasting, similar in spirit to a language model but for numerical sequences.

  2. 5

    TDengine

    25.2Ktaosdata/TDengine · C

    TDengine is an open-source, high-performance, cloud-native, AI-powered time-series database built for IoT, Connected Cars, and Industrial IoT workloads, handling TB-to-PB scale data from billions of sensors.

  3. 6

    prophet

    20.4Kfacebook/prophet · Python

    Prophet is an open-source forecasting procedure for time series: an additive model fits non-linear trends with yearly, weekly and daily seasonality plus holiday effects. It is aimed at series with strong seasonal effects and several seasons of history, and handles missing data, trend shifts and outliers well.

  4. 7

    openfang

    18.2KRightNow-AI/openfang · Rust

    OpenFang is an open-source Agent Operating System written in Rust. Instead of a chatbot that waits for your prompt, it runs autonomous agents 24/7 — on schedules, monitoring targets, building knowledge graphs and reporting results to a dashboard.

  5. 8

    DeepLearningExamples

    14.9KNVIDIA/DeepLearningExamples · Jupyter Notebook

    A collection of NVIDIA-maintained, state-of-the-art deep learning reference implementations across computer vision, NLP, recommenders, speech, and more, tuned for reproducible accuracy and performance on NVIDIA Tensor Core GPUs.

  6. 9

    Time-Series-Library

    13Kthuml/Time-Series-Library · Python

    TSLib is an open-source Python library for deep learning researchers working on time series: a clean codebase to evaluate advanced deep time series models or develop your own, with around 13,000 GitHub stars.

  7. 10

    statsmodels

    11.7Kstatsmodels/statsmodels · Python

    statsmodels is a Python package for statistical modeling and econometrics, providing estimation and inference for a wide range of statistical models as a complement to scipy.

  8. 11

    autogluon

    10.8Kautogluon/autogluon · Python

    AutoGluon is an open-source Python library that automates machine learning: feed it your data and it delivers strong predictive performance in about three lines of code.

  9. 12

    mlcourse.ai

    10.8KYorko/mlcourse.ai · Python

    An open Machine Learning course by the OpenDataScience (ods.ai) community, led by Yury Kashnitsky: 10 weeks that pair math-heavy lectures with hands-on assignments and Kaggle Inclass competitions, now taken self-paced.

  10. 13

    sktime

    10.1Ksktime/sktime · Python

    sktime is a Python library for machine learning with time series: one unified interface for forecasting, classification, clustering, and anomaly or changepoint detection.

  11. 14

    cheat-on-content

    7.3KXBuilderLAB/cheat-on-content · Python

    A skill for AI coding agents aimed at content creators: every post becomes a calibrated experiment — score it, blind-predict its performance, publish, retro the numbers at T+3 days, and evolve your scoring rubric. The author credits it with going from 0 to 1M followers in a month.

  12. 15

    privacy-preserving-control-plane

    425gbenletoluwase/privacy-preserving-control-plane · Java

    A Java control plane that bundles four coupled mechanisms for production ML pipelines: forecast-driven autoscaling, zero-shot PII redaction at the point of processing, governed model promotion, and drift/anomaly detection.

  13. 16

    cumcm-c-problem-lfs

    148liufanshan11/cumcm-c-problem-lfs · TeX

    A skill for AI agents that handles Problem C of CUMCM, China's national undergraduate math-modeling contest: a full modeling-and-paper production workflow distilled from 2018–2025 official C-problem papers, expert commentary and grading standards.

  14. 17

    timeseries-atlas

    133dreamers-laboratory/timeseries-atlas · Python

    A curated map of modern time-series forecasting architectures, from DLinear to foundation models like Chronos-2, each in its own directory with a short README and, for some, a runnable PyTorch implementation.

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