conda-forge/staged-recipes
Mar 2026 – Mar 2026
1 Month active
Languages Used
YAML
Technical Skills
Python packagingcollaborationdependency managementproject managementrecipe development
willdunklin
PROFILE
Willdunklin
Will Dunklin developed and delivered a new e3sm_compareview recipe for atmosphere data exploration in the conda-forge/staged-recipes repository. His work focused on authoring robust Conda packaging metadata and managing dependencies using YAML, ensuring reliable installation and functionality for end users. Will also updated project maintainership to reflect current stewardship, supporting ongoing open-source governance. Throughout the month, he emphasized process improvements and automation in build and test workflows, rather than bug fixes, to streamline future contributions. His contributions demonstrated skills in Python packaging, collaborative project management, and recipe development, providing a foundation for easier data exploration and more maintainable software packaging.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
66
Activity Months1
Your Network
788 peopleWork History
March 2026
2 Commits • 2 Features
Mar 1, 2026Summary for 2026-03: Delivered a new e3sm_compareview recipe for Atmosphere data exploration in conda-forge/staged-recipes, including dependencies, build instructions, and testing configurations to enable robust installation and functionality. Updated maintainers to reflect current project stewardship. No major bug fixes were required this month; focus was on feature delivery and process improvements that enable easier data exploration and more reliable packaging. Technologies demonstrated include Conda recipe authoring, packaging metadata, dependency resolution, build/test automation, and open-source governance.
2 Commits • 2 Features
Mar 1, 2026Summary for 2026-03: Delivered a new e3sm_compareview recipe for Atmosphere data exploration in conda-forge/staged-recipes, including dependencies, build instructions, and testing configurations to enable robust installation and functionality. Updated maintainers to reflect current project stewardship. No major bug fixes were required this month; focus was on feature delivery and process improvements that enable easier data exploration and more reliable packaging. Technologies demonstrated include Conda recipe authoring, packaging metadata, dependency resolution, build/test automation, and open-source governance.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Python packagingcollaborationdependency managementproject managementrecipe development
Repositories Contributed To
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