conda-forge/staged-recipes
Apr 2026 – Apr 2026
1 Month active
Languages Used
YAML
Technical Skills
Configuration ManagementContinuous IntegrationDependency ManagementDevOpsPackage ManagementPython
Kevin Wong
PROFILE
Kevin Wong
Worked on consolidating the packaging and distribution process for rubin.citsci within the conda-forge/staged-recipes repository, focusing on cross-platform installation improvements and license alignment. Addressed Windows build blockers by refining continuous integration workflows and skipping problematic dependency checks, while also resolving Python version constraints to enhance compatibility. Utilized YAML for recipe configuration and Python for dependency management, streamlining the CI pipeline for maintainability and faster releases. Updated package metadata with new versioning and checksum validation to ensure integrity. This work established a sustainable baseline for future updates, reducing installation friction and improving the overall reliability of cross-platform package distribution.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
1
Lines of code
114
Activity Months1
Your Network
915 peopleSame Organization
@noirlab.edu13
Shared Repositories
902
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Work History
April 2026
16 Commits • 1 Features
Apr 1, 2026In Apr 2026, consolidated Rubin.citsci packaging and distribution for conda-forge/staged-recipes, delivering cross-platform install improvements and licensing alignment. Focused on stabilizing the rubin.citsci recipe, addressing Windows and Python constraints, and streamlining CI for maintainability and faster releases. The work reduces installation friction for users across OSes and sets a sustainable packaging baseline for future updates.
16 Commits • 1 Features
Apr 1, 2026In Apr 2026, consolidated Rubin.citsci packaging and distribution for conda-forge/staged-recipes, delivering cross-platform install improvements and licensing alignment. Focused on stabilizing the rubin.citsci recipe, addressing Windows and Python constraints, and streamlining CI for maintainability and faster releases. The work reduces installation friction for users across OSes and sets a sustainable packaging baseline for future updates.
April 2026
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance95.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Configuration ManagementContinuous IntegrationDependency ManagementDevOpsPackage ManagementPythonUnixYAMLYAML ConfigurationYAML configurationcondacross-platform developmentdependency managementdependency resolutionpackage management
Repositories Contributed To
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