rob-med/awesome-TS-anomaly-detection resource
List of tools & datasets for anomaly detection on time-series data. observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3179
- days_rel: n/a
- days_push: 681
- n_releases_24m: 0
Adoption not part of the score
3161 stars · 463 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 software tools, libraries, and datasets for anomaly detection on time-series data. It catalogs maintained and unmaintained projects across languages like Python, Java, Julia, and C++ with license and maintenance status.
Use cases
- find libraries for time series anomaly detection
- discover datasets for outlier detection research
- compare anomaly detection tools before choosing one
- find change point detection packages
- locate maintained time-series monitoring software
- research anomaly detection methods for streaming data
When to choose
- you need an overview of the anomaly detection ecosystem
- you want datasets or benchmarks for time-series outlier research
- you are evaluating tools and want maintenance/license info upfront
When to avoid
- you need a ready-to-run detection tool rather than a catalog
- you need guaranteed long-term upkeep, as it is a community-maintained list without a license
Facets
learning-resource · maturity active
machine-learning analytics data-science time-series machine-learning data-science awesome-lists cross-platform anomaly-detection outlier-detection time-series curated-list datasets data-mining
1 source
- readme: https://github.com/rob-med/awesome-TS-anomaly-detection · fetched 2026-08-28 · e5987425f137
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| rob-med/awesome-TS-anomaly-detection | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="rob-med/awesome-TS-anomaly-detection")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem