bioconda/bioconda-recipes
Jan 2026 – Jan 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
Python developmentbioinformaticsdata analysispackage management
Siddharth Uppal
PROFILE
Siddharth Uppal
In January 2026, Su delivered the AlleleFlux recipe to the bioconda-recipes repository, introducing a Python package for analyzing allele frequency trajectories in metagenomic data. Su focused on robust Python packaging and dependency management, updating metadata and migrating to source_files to ensure deterministic builds. The work included replacing matplotlib with matplotlib-base and refining test hygiene by removing redundant sys.exit calls and correcting shachecksum for reliable integrity checks. By addressing packaging and test reliability, Su enabled easier installation and reproducibility for researchers, expanding Bioconda’s capabilities for bioinformatics workflows. The project demonstrated skills in Python, YAML, and bioinformatics data analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
164
Activity Months1
Your Network
607 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026In January 2026, delivered the AlleleFlux recipe to bioconda-recipes, introducing a Python package for allele frequency trajectory analysis in metagenomic data. This expands Bioconda capabilities for metagenomics workflows and enhances reproducibility through a clean packaging release (version 0.1.4). Fixed packaging and test issues to ensure reliable builds: removed redundant sys.exit in tests, corrected shachecksum, and migrated to source_files; updated dependencies by swapping matplotlib with matplotlib-base. Overall impact: easier installation for researchers, more robust pipelines, and improved build reliability. Demonstrated technologies and skills include Python packaging, Bioconda metadata, dependency management, test hygiene, and Snakemake-related tooling.
1 Commits • 1 Features
Jan 1, 2026In January 2026, delivered the AlleleFlux recipe to bioconda-recipes, introducing a Python package for allele frequency trajectory analysis in metagenomic data. This expands Bioconda capabilities for metagenomics workflows and enhances reproducibility through a clean packaging release (version 0.1.4). Fixed packaging and test issues to ensure reliable builds: removed redundant sys.exit in tests, corrected shachecksum, and migrated to source_files; updated dependencies by swapping matplotlib with matplotlib-base. Overall impact: easier installation for researchers, more robust pipelines, and improved build reliability. Demonstrated technologies and skills include Python packaging, Bioconda metadata, dependency management, test hygiene, and Snakemake-related tooling.
January 2026
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Python developmentbioinformaticsdata analysispackage management
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