Alan turing institute Sktime by alan-turing-institute
A unified framework for machine learning with time series
About Alan turing institute Sktime
From the project's README at github.com/alan-turing-institute/sktime. Lightly cleaned for readability; for the full source see the upstream repo.
sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes forecasting, time series classification, clustering, anomaly/changepoint detection, and other tasks. It comes with time series algorithms and [scikit-learn] compatible tools to build, tune, and validate time series models.
| Tutorials | [](https://mybinder.org/v2/gh/sktime/sktime/main?f
Health score breakdown
6-dimension composite. See methodology for formula and weights.
Adoption signals
Real-world usage data, pulled from each registry. The bigger the numbers, the more battle-tested the project.
| Signal | Value | Source |
|---|---|---|
| GitHub stars | 9.8k | github.com/alan-turing-institute/sktime |
| GitHub forks | 2.2k | github.com/alan-turing-institute/sktime |
| PYPI downloads (last month) | 1226k | sktime |
Release & maintenance
Is this project actively maintained, or about to die? Check the recency of last commit and last release.
| Project age | 7.5 years | since Nov 2018 |
| Last commit | 3 days ago | May 4, 2026 |
| Releases shipped | 97 | last: 5 months ago |
| Funding links | 3 | declared by maintainers |
Self-hosting cost across providers
Detected requirements: 4GB RAM, 40GB disk minimum. Cheapest plan per provider that meets the requirement.
| Provider | Plan | Specs | Monthly | |
|---|---|---|---|---|
| hetzner | CAX11 | 2c · 4GB · 40GB | $4.13 USD | Deploy → |
| vultr | VC2 | 1c · 1GB · 25GB | $5 USD | Deploy → |
| linode | Nanode 1GB | 1c · 1GB · 25GB | $5.12 USD | Deploy → |
| digitalocean | Basic Regular 1GB | 1c · 1GB · 25GB | $6 USD | Deploy → |
What people say on Hacker News
Ready to self-host Alan turing institute Sktime?
Spin up a hetzner CAX11 (4GB RAM, 40GB disk) for $4.13/mo and follow the project's official install docs.
Data last refreshed May 7, 2026.
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