Repository / RESOURCE PROFILE

pysf

A scikit-learn compatible machine learning library for supervised/panel forecasting

github.comPython
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Overview

A scikit-learn compatible machine learning library for supervised/panel forecasting

Topics & capabilities

time-serieslibrariesgithub

Repository information

Repository
sktime/pysf ↗
Repository owner
sktime
Primary language
Python
Repository code license
BSD-3-Clause ↗
Maintenance status
Not archived at the recorded check
Forked repository
No
GitHub stars
55
Forks
8
Default branch
master
Last repository push
Jan 2, 2019

Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.

Source links & provenance

https://github.com/alan-turing-institute/pysf ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

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Screenshot unavailableResource information and source links remain available. awesome-systematic-trading — browser editor — reviewed source website screenshot
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awesome-systematic-trading — browser editor

github.dev

Browser editor entry point for the wangzhe3224/awesome-systematic-trading resource collection.

Directory citations
1
Discovery sources
1
tradingquant-tools
98 Authority 98 / 100 Cited by 1 resources in this directory 1 discovery sources Directory record updated: 2026-10-14 How scoring works →

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