conda-forge/staged-recipes
Nov 2025 – Nov 2025
1 Month active
Languages Used
YAML
Technical Skills
PythonPython developmentYAMLYAML configurationcondaconfiguration management
Mike Fienen
PROFILE
Mike Fienen
In November 2025, Matt Fienen developed and refined the PyCap-DSS packaging workflow for the conda-forge/staged-recipes repository. He created a consolidated conda recipe, focusing on robust metadata management, dynamic Python version handling, and comprehensive build instructions. Using Python and YAML, Matt improved meta.yaml formatting, updated checksums and license references, and enforced strict version requirements to align with modern packaging standards. He also addressed documentation gaps and removed outdated setup.py references. To ensure reliability, he triggered CI test reruns with a no-op commit, validating all changes through the test suite and demonstrating thorough attention to packaging quality and stability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
2
Lines of code
153
Activity Months1
Your Network
748 peopleSame Organization
@usgs.gov6
Work History
November 2025
17 Commits • 2 Features
Nov 1, 2025November 2025 performance summary for conda-forge/staged-recipes focused on delivering a robust PyCap-DSS packaging and metadata workflow, plus validation via CI reruns. The month culminated in a consolidated PyCap-DSS conda recipe with comprehensive metadata, dynamic Python version handling, and stabilized build instructions, underpinned by extensive meta.yaml cleanups and checksum/license fixes. A no-op commit was added to trigger CI test reruns to ensure changes are validated by the test suite.
17 Commits • 2 Features
Nov 1, 2025November 2025 performance summary for conda-forge/staged-recipes focused on delivering a robust PyCap-DSS packaging and metadata workflow, plus validation via CI reruns. The month culminated in a consolidated PyCap-DSS conda recipe with comprehensive metadata, dynamic Python version handling, and stabilized build instructions, underpinned by extensive meta.yaml cleanups and checksum/license fixes. A no-op commit was added to trigger CI test reruns to ensure changes are validated by the test suite.
November 2025
Activity
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Quality Metrics
Correctness98.8%
Maintainability98.8%
Architecture98.8%
Performance98.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
PythonPython developmentYAMLYAML configurationcondaconfiguration managementdata sciencedependency managementdocumentationfile formattingmetadata managementpackage managementrecipe creationrecipe developmentversion control
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline