https://github.com/fxwiegand/python-data-visualization-benchmark

A workflow comparing different python data viz libraries
https://github.com/fxwiegand/python-data-visualization-benchmark

Last synced: 20 days ago
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A workflow comparing different python data viz libraries

• Host: GitHub
• URL: https://github.com/fxwiegand/python-data-visualization-benchmark
• Owner: fxwiegand
• License: mit
• Created: 2024-05-21T12:58:39.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-08T10:10:48.000Z (10 months ago)
• Last Synced: 2024-12-25T22:25:29.102Z (5 months ago)
• Language: Python
• Size: 49.8 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Python Plotting Libraries Comparison with Snakemake

This Snakemake workflow compares different plotting libraries in Python.

## Installation

1. **Install Mamba**: Mamba is a faster alternative to Conda for package management. You can install it via Conda with the following command:

`conda install mamba -n base -c conda-forge`

2. **Create Environment**: Create a dedicated Conda environment for the workflow using Mamba:

`mamba create -c conda-forge -c bioconda -n snakemake snakemake`

3. **Activate Environment**: Activate the created environment:

`mamba activate snakemake`

## Running the Workflow

To execute the Snakemake workflow, run the following command:

`snakemake --cores all --use-conda`