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qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM resource

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data. observed · 2026-08-28

github.com/qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM observed · 2026-08-28

Health v2 · maintenance only

29/100

  • Activity 0
  • Release rhythm 35
  • Longevity 84

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1181
  • days_rel: n/a
  • days_push: 619
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1222 stars · 91 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of papers, code, and datasets on Large Language Models and Foundation Models applied to time series, spatio-temporal, and event data. It accompanies a survey paper and is actively updated with new research resources.

Use cases

  • find papers on LLMs for time series forecasting
  • survey foundation models for spatio-temporal data
  • research time series anomaly detection with large models
  • find datasets for multimodal time series analysis
  • keep up with LLM4TS research
  • prepare a literature review on time series foundation models

When to choose

  • you need a comprehensive, curated reading list on LLMs/foundation models for temporal data
  • you are a researcher or student surveying this fast-moving field
  • you want links to official code and datasets for cited papers

When to avoid

  • you need a runnable library or tool rather than a paper list
  • you want production-ready forecasting code
  • you need non-temporal LLM resources

Facets

learning-resource · maturity active

machine-learning llm-inference data-science time-series large-language-models artificial-intelligence tutorials awesome-lists cross-platform awesome-list time-series-forecasting foundation-models spatiotemporal research-papers survey

1 source

Member repositories

For agents

markdown · JSON · MCP: product_card(name="qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem