conda-forge/staged-recipes
Nov 2025 – Dec 2025
2 Months active
Languages Used
YAML
Technical Skills
PythonPython developmentYAML configurationgeospatial data processingpackage managementconfiguration management
michaelschleiss
PROFILE
Michaelschleiss
Michael Schleiss developed and enhanced packaging workflows for the conda-forge/staged-recipes repository, focusing on geospatial data processing tools. He introduced a new recipe for the georaffer package, enabling automated downloading and processing of geospatial tiles from German state geodata providers. Using Python and YAML configuration, Michael aligned recipe versioning with conda-forge guidelines by implementing the python_min pattern, then broadened compatibility by removing strict minimum Python version constraints. His work emphasized maintainability and future-proofing, reducing build friction and supporting a wider user base. Over two months, he delivered two targeted features, demonstrating depth in configuration management and package maintenance.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
63
Activity Months2
Your Network
742 peopleWork History
December 2025
1 Commits • 1 Features
Dec 1, 2025Monthly work summary for 2025-12 focusing on conda-forge/staged-recipes. Implemented a feature to broaden Python version compatibility by removing the minimum Python version constraint in the recipe configuration, enabling builds across a wider set of Python versions. No major bugs fixed this month in this repository. The changes improve accessibility for downstream users and reduce ongoing maintenance for maintainers by eliminating rigid version pinning. Technologies demonstrated include Python, YAML-based recipe configuration, and Git-based change management within the conda-forge workflow.
1 Commits • 1 Features
Dec 1, 2025Monthly work summary for 2025-12 focusing on conda-forge/staged-recipes. Implemented a feature to broaden Python version compatibility by removing the minimum Python version constraint in the recipe configuration, enabling builds across a wider set of Python versions. No major bugs fixed this month in this repository. The changes improve accessibility for downstream users and reduce ongoing maintenance for maintainers by eliminating rigid version pinning. Technologies demonstrated include Python, YAML-based recipe configuration, and Git-based change management within the conda-forge workflow.
December 2025
November 2025
2 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Packaging enhancements for georaffer in conda-forge/staged-recipes. Delivered a new recipe enabling downloading and processing geospatial tiles from German state geodata providers, and aligned Python versioning with conda-forge guidelines using the python_min pattern. Focused on packaging reliability, maintainability, and future Python-version compatibility to streamline downstream adoption and CI workflows. No major bug fixes this month; all changes are feature-oriented and positioning the project for smoother releases.
November 2025
2 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Packaging enhancements for georaffer in conda-forge/staged-recipes. Delivered a new recipe enabling downloading and processing geospatial tiles from German state geodata providers, and aligned Python versioning with conda-forge guidelines using the python_min pattern. Focused on packaging reliability, maintainability, and future Python-version compatibility to streamline downstream adoption and CI workflows. No major bug fixes this month; all changes are feature-oriented and positioning the project for smoother releases.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
PythonPython developmentYAML configurationconfiguration managementgeospatial data processingpackage management
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