conda-forge/staged-recipes
Nov 2025 – Feb 2026
2 Months active
Languages Used
PythonYAML
Technical Skills
PythonPython developmentPython packagingYAML configurationcondadata manipulation
Mustapha Moulana
PROFILE
Mustapha Moulana
Over a two-month period, Maxime Meyer contributed to the conda-forge/staged-recipes repository by developing and refining conda installable package recipes, including Luts, SMART-G radiative transfer, and pytrunc. He focused on Python and YAML to implement robust packaging solutions, addressing distribution reliability, licensing compliance, and compatibility with conda-forge standards. His work included enhancing metadata, updating Python version constraints, and introducing macOS build workarounds to improve CI reliability and user installation experience. By aligning recipes with linting recommendations and managing dependencies, Maxime ensured that new and existing packages could be distributed more reliably within the open source ecosystem.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
189
Activity Months2
Your Network
742 peopleWork History
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026 (2026-02) monthly summary for conda-forge/staged-recipes. Delivered packaging enhancements focused on Pytrunc distribution and conda-forge compatibility. No major bugs reported; improvements center on install usability and CI reliability.
2 Commits • 2 Features
Feb 1, 2026February 2026 (2026-02) monthly summary for conda-forge/staged-recipes. Delivered packaging enhancements focused on Pytrunc distribution and conda-forge compatibility. No major bugs reported; improvements center on install usability and CI reliability.
February 2026
November 2025
8 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary for conda-forge/staged-recipes: Delivered two new conda installable package recipes (Luts and SMART-G radiative transfer) and completed ongoing packaging/metadata improvements to enhance distribution reliability and licensing compliance. Key delivered items include: (1) New recipes: Luts (commit 1273973c024065227b6244f74353f5e3e04e5498) and SMART-G radiative transfer (commit 5d9145fdde3c869b3af5045e8482a01ca3451e56). (2) Packaging metadata enhancements addressing licensing, macOS skip due to pycuda, noarch/arch handling, Python constraints updates, and homepage metadata (commits: 3b904b97c470cb64e71a18e0b1e83a456a0e9432; 178cd5c78a4135122ab1b43f861a086e8e11dcf2; 4d42e7ee907d35dba4acc4ec2a7e85116711d236; 94d002cf5a9504eec856b333d7193712d1143107; 8089e1c3d8b72777b412208eeb88e38365bedd41; 7bf8c40d5b2b82c00181e541da51eed2272ce4db). (3) No explicit major bug fixes, but packaging stability workarounds address macOS/pycuda compatibility and build reproducibility. (4) Improved licensing metadata and project homepage to support compliance and discoverability, enabling downstream users to install with confidence.
November 2025
8 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary for conda-forge/staged-recipes: Delivered two new conda installable package recipes (Luts and SMART-G radiative transfer) and completed ongoing packaging/metadata improvements to enhance distribution reliability and licensing compliance. Key delivered items include: (1) New recipes: Luts (commit 1273973c024065227b6244f74353f5e3e04e5498) and SMART-G radiative transfer (commit 5d9145fdde3c869b3af5045e8482a01ca3451e56). (2) Packaging metadata enhancements addressing licensing, macOS skip due to pycuda, noarch/arch handling, Python constraints updates, and homepage metadata (commits: 3b904b97c470cb64e71a18e0b1e83a456a0e9432; 178cd5c78a4135122ab1b43f861a086e8e11dcf2; 4d42e7ee907d35dba4acc4ec2a7e85116711d236; 94d002cf5a9504eec856b333d7193712d1143107; 8089e1c3d8b72777b412208eeb88e38365bedd41; 7bf8c40d5b2b82c00181e541da51eed2272ce4db). (3) No explicit major bug fixes, but packaging stability workarounds address macOS/pycuda compatibility and build reproducibility. (4) Improved licensing metadata and project homepage to support compliance and discoverability, enabling downstream users to install with confidence.
Activity
Loading activity data...
Quality Metrics
Correctness98.0%
Maintainability98.0%
Architecture98.0%
Performance98.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Conda recipesPackage managementPythonPython developmentPython packagingYAMLYAML configurationcondadata manipulationdata sciencedependency managementdocumentationmetadata handlingopen source contributionpackage management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline