# MaxBenChrist/awesome_time_series_in_python

This curated list contains  python packages for time series analysis

Repository: https://github.com/MaxBenChrist/awesome_time_series_in_python
Canonical: https://ross.abutalabs.com/products/awesome_time_series_in_python
License Family: other
Topics: time-series, python, machine-learning, statistics
Last push: 2023-02-10T06:55:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3304, "days_push": 1300, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2260, forks 366 (observed 2026-08-28T04:06:31.746355+00:00)

## What it is
A curated awesome-list of Python packages for time series analysis, covering forecasting, feature extraction, anomaly detection, and statistics libraries. It serves as a discovery resource rather than a usable software package itself.

## Use cases
- find python libraries for time series forecasting
- discover packages for time series feature extraction
- compare time series anomaly detection tools
- learn what python packages exist for analyzing temporal data
- find libraries for financial time series analysis
- get started with time series analysis in python

## When to choose
- you want an overview of the Python time series ecosystem before picking a library
- you need to discover forecasting, feature extraction, or anomaly detection tools
- you are researching options for a time series project

## When to avoid
- you need an actual working library rather than a list of links
- you need guaranteed up-to-date or maintained recommendations
- you need non-Python time series tooling

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, data-science, date-time, analytics
- domain: time-series, data-science, machine-learning
- platform: python
- tags: awesome-list, time-series, curated-list, forecasting, anomaly-detection, statistics

## Member repositories
- MaxBenChrist/awesome_time_series_in_python (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:31.746355+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:42:38.388675+00:00, confidence not recorded.
  - readme: https://github.com/MaxBenChrist/awesome_time_series_in_python (fetched 2026-08-28T04:06:31.746355+00:00, sha 6f9cefa9b617)
- Data as of 2026-08-30T08:39:29.467469+00:00.