conda-forge/staged-recipes
Mar 2026 – Apr 2026
2 Months active
Languages Used
PythonYAML
Technical Skills
CLI tool developmentPackage managementPythonPython developmentYAMLYAML configuration
joao marques
PROFILE
Joao Marques
Worked on the conda-forge/staged-recipes repository to deliver cross-platform CI/CD enhancements and improve Python package compliance. Developed a YAML-driven CI/CD pipeline that automated builds, tests, linting, and pull request checks across Linux, macOS, and Windows, standardizing workflows and increasing release reliability. Introduced a new CLI recipe for pip-licenses, enabling automated license listing for Python packages and enforcing modern Python version requirements. Addressed a key import bug in recipe configuration to improve testing reliability. Leveraged Python, YAML, and GitHub Actions to streamline dependency management, reduce manual intervention, and enhance code quality and compliance visibility for downstream users.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
3
Lines of code
4,402
Activity Months2
Your Network
924 peopleSame Organization
@bosch.com22
Shared Repositories
902
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Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 — Delivered cross-platform CI/CD enhancements for the conda-forge/staged-recipes repo. Implemented YAML-based configuration to drive builds, tests, linting, and PR checks across Linux, macOS, and Windows. This standardizes pipeline behavior, reduces manual toil, speeds up PR validation, and improves recipe quality and release reliability. Notable change: pipeline adapted to recipe.yaml (commit 5019b65e2f3c93fc6de82260006f86436e559747).
1 Commits • 1 Features
Apr 1, 2026April 2026 — Delivered cross-platform CI/CD enhancements for the conda-forge/staged-recipes repo. Implemented YAML-based configuration to drive builds, tests, linting, and PR checks across Linux, macOS, and Windows. This standardizes pipeline behavior, reduces manual toil, speeds up PR validation, and improves recipe quality and release reliability. Notable change: pipeline adapted to recipe.yaml (commit 5019b65e2f3c93fc6de82260006f86436e559747).
April 2026
March 2026
5 Commits • 2 Features
Mar 1, 2026March 2026: Delivered key Pip-Licenses improvements in conda-forge/staged-recipes, including a new CLI licensing tool recipe, Python version management enhancements, and a bug fix to the import statement. The changes increase compliance visibility, enforce modern Python requirements (>=3.11) in the recipe context, and improve testing reliability by ensuring correct imports. These efforts reduce licensing risk for downstream users and strengthen recipe quality and maintainability.
March 2026
5 Commits • 2 Features
Mar 1, 2026March 2026: Delivered key Pip-Licenses improvements in conda-forge/staged-recipes, including a new CLI licensing tool recipe, Python version management enhancements, and a bug fix to the import statement. The changes increase compliance visibility, enforce modern Python requirements (>=3.11) in the recipe context, and improve testing reliability by ensuring correct imports. These efforts reduce licensing risk for downstream users and strengthen recipe quality and maintainability.
Activity
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Quality Metrics
Correctness96.6%
Maintainability96.6%
Architecture96.6%
Performance96.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
CI/CDCLI tool developmentGitGitHub ActionsPackage managementPythonPython developmentYAMLYAML configurationdependency managementpackage management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline