conda-forge/staged-recipes
Mar 2026 – Mar 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
Build AutomationPackage ManagementPythonPython developmentYAMLYAML configuration
MeixuanLiuu
PROFILE
Meixuanliuu
Worked on packaging enhancements for AniDMS/anidms within the conda-forge/staged-recipes repository, focusing on improving build automation and cross-platform compatibility. Developed new packaging recipes and updated source URLs, introducing noarch build scripts and dynamic versioning through meta.yaml to streamline support for multiple Python versions. Integrated CI rerun triggers to automate workflow validation, reducing manual intervention and accelerating release cycles. Addressed packaging inconsistencies by correcting build scripts and refining dependency management. Leveraged Python and YAML for recipe development and configuration, resulting in a more reproducible and maintainable packaging process that supports faster downstream integration and reliable continuous integration workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
1
Lines of code
118
Activity Months1
Your Network
902 peopleShared Repositories
902
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Anton BVMember
amyheatherMember
Abdu ZoghbiMember
Aaron RohrbaughMember
Adam CaprezMember
Work History
March 2026
11 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for conda-forge/staged-recipes focusing on AniDMS/anidms packaging enhancements and CI integration. Delivered consolidated packaging improvements, updated sources, and shell scripts to enable noarch builds, dynamic versioning via meta.yaml, and Python compatibility. Implemented CI rerun triggers to validate the packaging workflow and ensure reliable cross-platform builds.
11 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for conda-forge/staged-recipes focusing on AniDMS/anidms packaging enhancements and CI integration. Delivered consolidated packaging improvements, updated sources, and shell scripts to enable noarch builds, dynamic versioning via meta.yaml, and Python compatibility. Implemented CI rerun triggers to validate the packaging workflow and ensure reliable cross-platform builds.
March 2026
Activity
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Quality Metrics
Correctness94.6%
Maintainability92.8%
Architecture92.8%
Performance92.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Build AutomationPackage ManagementPythonPython developmentYAMLYAML configurationcondadata analysisdependency managementpackage managementrecipe development
Repositories Contributed To
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