Snakemake¶
Snakemake was created by and for the bioinformatics community. However, it has a general purpose design and can be used for for any data analysis pipeline. Most other workflow engines are control-flow oriented. Snakemake instead builds a file dependence graph and uses file modifications to drive the execution, like the original “make” tool.
Logo |
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Website |
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Repository |
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Byline |
The Snakemake workflow management system is a tool to create reproducible and scalable data analyses |
License |
MIT |
Project age |
9 years 7 months |
Backers |
Kösterlab at the University of Duisburg-Essen (Creator and maintainer) |
Size score (1 to 10, higher is better) |
6.0 |
Trend score (1 to 10, higher is better) |
5.75 |
Education Resources¶
URL |
Resource Type |
Description |
|---|---|---|
Documentation |
Official project documentation. |
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Example Code |
The Snakemake Wrapper Repository is a collection of reusable wrappers that allow to quickly use popular command line tools from Snakemake rules and workflows. |
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Video |
Reproducible Data Analysis with Snakemake - presentation from the project creator, June 2020. |
Git Commit Statistics¶
Statistics computed using Git data through May 31, 2021.
Statistic |
Lifetime |
Last 12 Months |
|---|---|---|
Commits |
9,126 |
2,378 |
Lines committed |
5,850,456 |
1,528,281 |
Unique committers |
220 |
64 |
Core committers |
6 |
2 |
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Size Score |
Trend Score |
Byline |
|---|---|---|---|
7.25 |
7.75 |
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|
4.25 |
5.0 |
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments |
|
4.25 |
3.75 |
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. |