Topics / #time-series-analysis

Time-series-analysis projects on GitHub

Analyzing sequential time-stamped data for forecasting and insight.

As of , the most-starred Time-series-analysis projects on GitHub are pathway (62.1K stars), Time-Series-Library (13K stars) and sktime (10.1K stars). GitHub.Locker tracks 5 Time-series-analysis repositories with 86.5K stars combined. The fastest-growing on October 25 was timestral, with +29 stars in a day.

5Projects
86.5KStars in total
+44Stars in a day
Browse in the catalog →github.com/topics/time-series-analysis ↗

Hot right now

Most stars gained in a day · Oct 25

+29

timestral

mistralai/timestral · ★ 911

Timestral is a family of time-series foundation models by Mistral AI for multivariate probabilistic forecasting, supporting past-only and known-future covariates. This repository provides standalone inference code for running the models.

+6

Time-Series-Library

thuml/Time-Series-Library · ★ 13K

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.

+5

pathway

pathwaycom/pathway · ★ 62.1K

Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG, with the same code usable for batch jobs, CI/CD tests, and live data streams.

+3

structured-data-models

NVIDIA/structured-data-models · ★ 404

Structured Data Models (SDM) is a GPU-native library of foundation models, tensor subclasses, and data processors for working with structured data like tables, relational databases, and time series.

The all-time top

5 projects · by stars

  1. #1 · pathwaycom/pathway

    pathway

    Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG, with the same code usable for batch jobs, CI/CD tests, and live data streams.

    62.1K
  2. #2 · thuml/Time-Series-Library

    Time-Series-Library

    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.

    13K
  3. #3 · sktime/sktime

    sktime

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

    10.1K
  1. 4

    timestral

    911mistralai/timestral · Python

    Timestral is a family of time-series foundation models by Mistral AI for multivariate probabilistic forecasting, supporting past-only and known-future covariates. This repository provides standalone inference code for running the models.

  2. 5

    structured-data-models

    404NVIDIA/structured-data-models · Python

    Structured Data Models (SDM) is a GPU-native library of foundation models, tensor subclasses, and data processors for working with structured data like tables, relational databases, and time series.

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