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Sébastien Morais

PROFILE

Sébastien Morais

Contributed to the conda-forge/staged-recipes repository by developing and enhancing packaging recipes for Python projects such as PyEDB and Ansys EDB. Focused on improving installation reliability and maintainability, the work included creating new recipes, refining metadata, and automating dependency management using Python and YAML. Addressed cross-platform compatibility by adjusting dependencies and implementing conditional logic, while also ensuring compliance with licensing and metadata standards. Enhanced continuous integration workflows to validate packaging changes and reduce manual intervention. Refactored recipes for readability and alignment with Conda-Forge guidelines, resulting in more robust package distribution and streamlined maintenance for downstream users and contributors.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

26Total
Bugs
2
Commits
26
Features
4
Lines of code
247
Activity Months3

Your Network

1004 people

Work History

April 2026

4 Commits • 1 Features

Apr 1, 2026

April 2026 monthly summary for conda-forge/staged-recipes focusing on PyEDB packaging enhancements for Conda-Forge, expanding channel sources, and recipe refactor for readability and maintainability; alignment with Conda-Forge standards.

February 2026

18 Commits • 2 Features

Feb 1, 2026

February 2026 monthly summary for conda-forge/staged-recipes focusing on Ansys EDB packaging. Highlights include a consolidated overhaul of the Ansys EDB workflows, the addition of a core Python client recipe, metadata/licensing refinements, and CI readiness improvements. The work emphasizes packaging reliability, compatibility, and governance for downstream users.

April 2024

4 Commits • 1 Features

Apr 1, 2024

April 2024 monthly summary for conda-forge/staged-recipes: Delivered PyEDB packaging packaging by adding a new recipe and improving metadata to ensure correct installation and usability. Implemented lint fixes, flexible Python version requirements, and Windows dependency adjustments. Also enabled automated recipe dependency autofill to reduce manual maintenance and improve CI reliability.

Activity

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Quality Metrics

Correctness98.4%
Maintainability98.4%
Architecture98.4%
Performance98.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

Configuration ManagementContinuous IntegrationDevOpsPythonPython developmentPython packagingTestingYAMLYAML configurationconfiguration managementdependency managementdependency resolutiondocumentationfile formattinggRPC

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

conda-forge/staged-recipes

Apr 2024 Apr 2026
3 Months active

Languages Used

PythonYAML

Technical Skills

Python developmentPython packagingYAML configurationdependency resolutionpackage managementrecipe management