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
Worked on the conda-forge/staged-recipes repository to deliver a robust packaging and metadata workflow for PyCap-DSS. Developed and refined a consolidated conda recipe, focusing on dynamic Python version handling, dependency management, and comprehensive metadata fields. Utilized Python and YAML to implement build instructions, update checksums, and correct license references, while also cleaning up file formatting and removing outdated setup.py references. Addressed packaging quality by resolving readme gaps and enforcing strict version requirements. Triggered CI test reruns with a no-op commit to validate changes, ensuring the packaging process remained stable and aligned with modern configuration management practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
2
Lines of code
153
Activity Months1
Your Network
908 peopleSame Organization
@usgs.gov6
Shared Repositories
902
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Aaron RohrbaughMember
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