目录
snakemake-bot

chore(main): release 9.14.0 (#3835)

:robot: I have created a release beep boop

#

9.14.0 (2025-11-27)

Features

Bug Fixes

  • Add support for pathlib in notebook field (#3811) (7b2180a)
  • Addressed race condition in workdir_handler.py (#3844) (8dbfcfb)
  • cleanup update-marked output files of failed jobs if there was no backup to restore them (#3843) (41f1ce8)
  • correct Windows callable path handling (#3832) (5caad70)
  • expand env vars on resources (#3823) (fcfa1bc)
  • fix backup for output marked by update (#3839) (09c64b7)
  • Minor fixes/additions to logging module. (#3802) (3b3986d)
  • mount local storage prefix into containers (#3840) (f1e8b62)
  • properly format input/output files in case of missing rule to produce them (#3849) (69d5d24)
  • Unpack AnnotatedString in _apply_wildcards (#3798) (7886508)

Performance Improvements

  • retrieve storage inputs immediately before scheduling jobs instead of before running the entire workflow (#3850) (4ac6cda)

This PR was generated with Release Please. See documentation.

2个月前5731次提交
目录README.md

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Snakemake

The Snakemake workflow management system is a tool to create reproducible and scalable data analyses. Snakemake is highly popular, with on average more than 7 new citations per week in 2021, and almost 400k downloads. Workflows are described via a human readable, Python based language. They can be seamlessly scaled to server, cluster, grid and cloud environments without the need to modify the workflow definition. Finally, Snakemake workflows can entail a description of required software, which will be automatically deployed to any execution environment.

Homepage: https://snakemake.github.io

Copyright (c) 2012-2022 Johannes Köster johannes.koester@uni-due.com (see LICENSE)

关于

一个可扩展的工作流管理系统,用于创建和管理数据驱动的计算流程。

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