conda-forge/staged-recipes
May 2025 – Jan 2026
3 Months active
Languages Used
YAMLPython
Technical Skills
Build System ConfigurationBuild SystemsCI/CDCode FormattingPackage ManagementTesting
Cyril
PROFILE
Cyril
Cyril Joly contributed to the conda-forge/staged-recipes repository by developing and refining packaging recipes for Python projects such as MapFlow, Puncc, and DataFiller. He focused on improving build system configuration, metadata accuracy, and dependency management using Python and YAML, ensuring reliable and reproducible package builds. Cyril addressed issues with import paths, standardized Python version requirements, and enhanced CI/CD reliability through linting and test alignment. His work emphasized maintainability and compliance with conda-forge standards, delivering new features like data imputation support while reducing CI noise. The depth of his contributions improved packaging quality and streamlined distribution workflows across platforms.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
26Total
Bugs
1
Commits
26
Features
5
Lines of code
250
Activity Months3
Your Network
742 peopleWork History
January 2026
3 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01): Delivered feature and packaging improvements for conda-forge/staged-recipes with a focus on data imputation and Python-version stability. Key items include the addition of the DataFiller Python package for data imputation (dependencies and build instructions added in meta.yaml) and refinements to meta.yaml version specifications to clarify Python requirements and align tests with the minimum supported Python version. The work also encompassed packaging quality improvements via linting and test-version alignment. No major defects fixed this month; emphasis was on reliable feature delivery and maintainability.
3 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01): Delivered feature and packaging improvements for conda-forge/staged-recipes with a focus on data imputation and Python-version stability. Key items include the addition of the DataFiller Python package for data imputation (dependencies and build instructions added in meta.yaml) and refinements to meta.yaml version specifications to clarify Python requirements and align tests with the minimum supported Python version. The work also encompassed packaging quality improvements via linting and test-version alignment. No major defects fixed this month; emphasis was on reliable feature delivery and maintainability.
January 2026
June 2025
9 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for conda-forge/staged-recipes focusing on Puncc packaging efforts. Delivered a new Puncc package recipe to staged-recipes with complete metadata, source, and tests, and improved packaging reliability through metadata normalization and import fixes. Demonstrated strong alignment with conda-forge standards, CI readiness, and maintainability improvements.
June 2025
9 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for conda-forge/staged-recipes focusing on Puncc packaging efforts. Delivered a new Puncc package recipe to staged-recipes with complete metadata, source, and tests, and improved packaging reliability through metadata normalization and import fixes. Demonstrated strong alignment with conda-forge standards, CI readiness, and maintainability improvements.
May 2025
14 Commits • 1 Features
May 1, 2025May 2025 — MapFlow Packaging and Distribution Readiness for conda-forge/staged-recipes: Completed consolidation of the MapFlow recipe to improve packaging, metadata accuracy, dependencies, and build/test configuration for reliable distribution. Updated meta.yaml with correct versioning and source URL; refined dependencies to support reproducible builds. Enhanced CI/QA through linting improvements and test/import cleanup to reduce CI noise, while establishing initial pytest-based validation scaffolding for the recipe. Result: more reliable builds, provenance-backed releases, and a smoother path to broad distribution across platforms.
14 Commits • 1 Features
May 1, 2025May 2025 — MapFlow Packaging and Distribution Readiness for conda-forge/staged-recipes: Completed consolidation of the MapFlow recipe to improve packaging, metadata accuracy, dependencies, and build/test configuration for reliable distribution. Updated meta.yaml with correct versioning and source URL; refined dependencies to support reproducible builds. Enhanced CI/QA through linting improvements and test/import cleanup to reduce CI noise, while establishing initial pytest-based validation scaffolding for the recipe. Result: more reliable builds, provenance-backed releases, and a smoother path to broad distribution across platforms.
May 2025
Activity
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Quality Metrics
Correctness93.8%
Maintainability96.2%
Architecture91.6%
Performance91.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Build System ConfigurationBuild SystemsCI/CDCode FormattingCondaConfiguration ManagementData scienceDevOpsLicensingPackage ManagementPackage managementPackagingPythonPython developmentRecipe Creation
Repositories Contributed To
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