conda-forge/staged-recipes
Dec 2025 – Dec 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
API integrationConfiguration ManagementDevOpsPythonPython developmentPython packaging
Martin Holoubek
PROFILE
Martin Holoubek
Martin Holoubek developed and modernized packaging workflows for the Google Cloud Document AI client within the conda-forge/staged-recipes repository. He created an initial packaging recipe using Python and YAML, integrating setuptools to ensure reliable installation and compatibility across Python versions. Martin refined dependency management by hardening Python version policies and updating API client requirements, which improved cross-version support and installation reliability. He also migrated packaging standards by renaming meta.yaml to recipe.yaml and aligning with the latest schema. His work enabled smoother adoption for downstream users, enhanced maintainability, and contributed to more stable CI workflows through robust configuration management and cloud services integration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
3
Lines of code
152
Activity Months1
Your Network
767 peopleWork History
December 2025
10 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for conda-forge/staged-recipes focused on enhancing packaging reliability, compatibility, and modernization for the Google Cloud Document AI client. Delivered an initial packaging recipe, hardened Python-version policy, and updated packaging standards to improve install success, cross-version support, and maintainability, positioning downstream users for smoother adoption and CI workflows.
10 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for conda-forge/staged-recipes focused on enhancing packaging reliability, compatibility, and modernization for the Google Cloud Document AI client. Delivered an initial packaging recipe, hardened Python-version policy, and updated packaging standards to improve install success, cross-version support, and maintainability, positioning downstream users for smoother adoption and CI workflows.
December 2025
Activity
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Quality Metrics
Correctness96.0%
Maintainability94.0%
Architecture94.0%
Performance94.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API integrationConfiguration ManagementDevOpsPythonPython developmentPython packagingcloud servicescloud services integrationdependency managementpackage configurationpackage management
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