conda-forge/staged-recipes
Mar 2026 – Mar 2026
1 Month active
Languages Used
YAML
Technical Skills
CondaPackage ManagementPythonPython packagingYAMLconfiguration management
Pete Jemian
PROFILE
Pete Jemian
During March 2026, Pete Jemian developed and released the PVView feature for the conda-forge/staged-recipes repository, enabling display of EPICS PVs within a PyDM GUI. He improved installation reliability by migrating and updating entry-point configurations, ensuring seamless execution for users. Pete also standardized and cleaned recipe metadata using YAML, clarifying key names and reorganizing test structures to enhance maintainability. His work included refining CI and testing configurations to enforce Python version compatibility and robust test coverage. By focusing on package management, configuration management, and Python packaging, Pete’s contributions reduced installation friction and improved reproducibility for both contributors and end users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
82
Activity Months1
Your Network
742 peopleWork History
March 2026
6 Commits • 2 Features
Mar 1, 20262026-03 monthly summary for conda-forge/staged-recipes: Delivered PVView feature for EPICS PVs in a PyDM GUI with install/entry-point improvements; standardized and cleaned recipe metadata and testing configuration; improved CI/test quality and Python version compatibility. This work reduces install friction, improves reproducibility, and strengthens packaging reliability for contributors and users.
6 Commits • 2 Features
Mar 1, 20262026-03 monthly summary for conda-forge/staged-recipes: Delivered PVView feature for EPICS PVs in a PyDM GUI with install/entry-point improvements; standardized and cleaned recipe metadata and testing configuration; improved CI/test quality and Python version compatibility. This work reduces install friction, improves reproducibility, and strengthens packaging reliability for contributors and users.
March 2026
Activity
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Quality Metrics
Correctness96.6%
Maintainability96.6%
Architecture96.6%
Performance96.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
CondaPackage ManagementPythonPython packagingYAMLconfiguration managementdependency managementdevopsdocumentationpackage managementrecipe managementtestingyaml
Repositories Contributed To
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