bioconda/bioconda-recipes
Jan 2025 – Apr 2026
3 Months active
Languages Used
YAMLPython
Technical Skills
Dependency ManagementPackage ManagementBioinformaticsCondaData analysisPackage management
Jose Figueroa
PROFILE
Jose Figueroa
Contributed to the bioconda/bioconda-recipes repository by developing and maintaining four Python packages focused on bioinformatics data analysis and visualization. Delivered reproducible builds for MetaCerberus and MetaCerberus-lite by pinning Python dependencies and updating build metadata, ensuring consistent results across CI and production. Introduced Cerberus-x as a new Conda package, defining dependencies and versioning to streamline installation for researchers. Added the pygage package for gene set enrichment analysis and pathview-plus for enhanced pathway visualization, both with clear build instructions and dependency management. Demonstrated expertise in Python, Conda, and YAML, emphasizing reproducibility, package management, and collaborative development practices throughout.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
176
Activity Months3
Your Network
639 peopleWork History
April 2026
2 Commits • 2 Features
Apr 1, 2026April 2026 was productive for bioconda/bioconda-recipes, delivering two new Python packages that expand data analysis and visualization capabilities while improving reproducibility and onboarding. Both packages include dependencies and build instructions, and are integrated into the Bioconda recipes to streamline installation for researchers and pipelines. No major bugs reported this month; ongoing maintenance and documentation efforts supported reliable deployments.
2 Commits • 2 Features
Apr 1, 2026April 2026 was productive for bioconda/bioconda-recipes, delivering two new Python packages that expand data analysis and visualization capabilities while improving reproducibility and onboarding. Both packages include dependencies and build instructions, and are integrated into the Bioconda recipes to streamline installation for researchers and pipelines. No major bugs reported this month; ongoing maintenance and documentation efforts supported reliable deployments.
April 2026
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — Key features delivered: Cerberus-x packaging added as a new Conda package in bioconda-recipes with version, source URL, and dependencies to enable distribution and installation via Conda. Major bugs fixed: none this month. Overall impact: enables Cerberus-x distribution in Bioconda, improving accessibility, reproducibility, and deployment for researchers. Technologies/skills demonstrated: Conda packaging, recipe maintenance, dependency management, versioning, and Git collaboration.
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — Key features delivered: Cerberus-x packaging added as a new Conda package in bioconda-recipes with version, source URL, and dependencies to enable distribution and installation via Conda. Major bugs fixed: none this month. Overall impact: enables Cerberus-x distribution in Bioconda, improving accessibility, reproducibility, and deployment for researchers. Technologies/skills demonstrated: Conda packaging, recipe maintenance, dependency management, versioning, and Git collaboration.
January 2025
2 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Summary of work on bioconda/bioconda-recipes focusing on stability and reproducibility of MetaCerberus packages. Delivered deterministic, reproducible builds by pinning Python dependency versions and updating build numbers for MetaCerberus and MetaCerberus-lite, ensuring consistent results across CI, local development, and production environments.
2 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Summary of work on bioconda/bioconda-recipes focusing on stability and reproducibility of MetaCerberus packages. Delivered deterministic, reproducible builds by pinning Python dependency versions and updating build numbers for MetaCerberus and MetaCerberus-lite, ensuring consistent results across CI, local development, and production environments.
January 2025
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture88.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
BioinformaticsCondaData analysisDependency ManagementPackage ManagementPackage managementPython developmentdata visualizationpackage management
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