bioconda/bioconda-recipes
May 2025 – Jan 2026
4 Months active
Languages Used
YAML
Technical Skills
DevOpsPackage ManagementBuild SystemsYAML configurationbioinformaticsdependency management
Ben J Woodcroft
PROFILE
Ben J Woodcroft
Ben contributed to the bioconda/bioconda-recipes repository by delivering four feature upgrades focused on bioinformatics tool packaging and dependency management. Over four months, Ben upgraded packages such as SingleM, OrfM, and Diamond, emphasizing reproducible builds, platform compatibility, and improved pipeline stability. Using YAML configuration and DevOps practices, Ben revised runtime dependencies, updated build scripts, and maintained package versioning to align with upstream releases. The work enhanced build reliability and reduced maintenance toil for downstream users, with clear documentation and commit traceability. Ben’s technical approach demonstrated depth in package management and build systems, supporting robust and maintainable bioinformatics workflows without reported bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
4
Lines of code
149
Activity Months4
Your Network
544 peopleWork History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for bioconda/bioconda-recipes focusing on dependency stabilization and feature enablement through a Diamond upgrade. The work improves build reliability, reproducibility, and access to latest features for downstream users.
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for bioconda/bioconda-recipes focusing on dependency stabilization and feature enablement through a Diamond upgrade. The work improves build reliability, reproducibility, and access to latest features for downstream users.
January 2026
November 2025
3 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Bioconda recipe maintenance delivering concrete feature upgrades and compatibility fixes across the bioconda-recipes repository. This work enhances platform support, reduces build failures, and strengthens downstream reliability through careful dependency management and build-script adjustments.
November 2025
3 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Bioconda recipe maintenance delivering concrete feature upgrades and compatibility fixes across the bioconda-recipes repository. This work enhances platform support, reduces build failures, and strengthens downstream reliability through careful dependency management and build-script adjustments.
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — Monthly work summary for bioconda/bioconda-recipes focused on delivering up-to-date packaging and reproducible builds for downstream bioinformatics workflows.
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — Monthly work summary for bioconda/bioconda-recipes focused on delivering up-to-date packaging and reproducible builds for downstream bioinformatics workflows.
July 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for bioconda/bioconda-recipes. Key feature delivered: SingleM Tool 0.19.0 Release with dsDNA Phage Profiling. The release includes a major revision of runtime dependencies and an expanded summary of capabilities, improving stability and pipeline compatibility. No externally reported bugs; the focus was feature delivery and maintainability, enabling customers to profile dsDNA phages more effectively. Impact: expanded profiling capabilities, improved stability, and clearer user guidance for downstream analyses. Technologies/skills demonstrated: Python packaging, semantic versioning, dependency management, release engineering, and documentation.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for bioconda/bioconda-recipes. Key feature delivered: SingleM Tool 0.19.0 Release with dsDNA Phage Profiling. The release includes a major revision of runtime dependencies and an expanded summary of capabilities, improving stability and pipeline compatibility. No externally reported bugs; the focus was feature delivery and maintainability, enabling customers to profile dsDNA phages more effectively. Impact: expanded profiling capabilities, improved stability, and clearer user guidance for downstream analyses. Technologies/skills demonstrated: Python packaging, semantic versioning, dependency management, release engineering, and documentation.
Activity
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Quality Metrics
Correctness97.2%
Maintainability94.4%
Architecture94.4%
Performance91.4%
AI Usage22.8%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Build SystemsDevOpsPackage ManagementYAML configurationbioinformaticsdependency managementpackage managementpackage versioning
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