sktime/tserve

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Time Series serving (TServe): local inference server for foundation models

Is sktime/tserve beginner-friendly?

We have not seen enough recent pull requests from outside contributors to sktime/tserve to say how often they are merged. 2 beginner-friendly issues are open now.

Stars
21
Forks
5
Open beginner issues
2
Indexed issues
7
Avg merge
3d 10h
Merged PRs (30d)
2
Dominant language
Python
License
BSD-3-Clause
Last GitHub push
Nov 3, 2026
Latest indexed
Oct 1, 2026
No contributing guide
No code of conduct
Beginner labels
No beginner labels indexed

How to contribute to sktime/tserve

  1. There is no contributing guide, so start from the README and a few recently merged pull requests to see how changes are proposed.
  2. It ships a Dockerfile or Docker Compose file, so you can run it without installing its whole toolchain.
  3. Your contributions will be published under the project's BSD-3-Clause license.
  4. Pick one of the 2 open beginner-friendly issues below and comment that you want to work on it before you start.
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