facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends. observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 98
- Release rhythm 8
- Longevity 100
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: 2015
- days_rel: n/a
- days_push: 15
- n_releases_24m: 0
Adoption not part of the score
6460 stars · 637 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Kats is a Python toolkit from Facebook's Infrastructure Data Science team for time series analysis, covering statistics, anomaly and change point detection, forecasting, and feature extraction. It provides a unified TimeSeriesData abstraction and models like Prophet in a lightweight, extensible framework.
Use cases
- forecast future trends in time series data
- detect anomalies in metrics over time
- detect change points in a time series
- extract features and embeddings from time series
- analyze key statistics of time series data
- perform multivariate time series analysis in python
When to choose
- you need a one-stop Python toolkit for detection, forecasting, and feature extraction on time series
- you want a simple unified API (TimeSeriesData) over multiple forecasting models like Prophet
- you are doing data science work on business metrics and trends
When to avoid
- you need real-time streaming time series processing at scale
- you need deep-learning-based forecasting with GPU acceleration
- you want a very actively developed library with frequent updates
Facets
library · maturity maintenance
data-science machine-learning analytics data-science time-series analytics python cross-platform time-series-analysis forecasting anomaly-detection change-point-detection feature-extraction prophet
2 sources
- readme: https://github.com/facebookresearch/Kats · fetched 2026-08-28 · 05a71ac6dacd
- registry_pypi: https://pypi.org/pypi/kats/json · fetched 2026-08-29 · 4ec186cdbb21
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| facebookresearch/Kats | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="facebookresearch/Kats")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem