conda-forge/staged-recipes
Feb 2026 – Feb 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
Continuous IntegrationDevOpsPythonPython developmentPython packagingTesting
Sébastien Morais
PROFILE
Sébastien Morais
Sebastien Morais overhauled the Ansys EDB packaging workflows in the conda-forge/staged-recipes repository, focusing on reliability and downstream compatibility. He developed a new Python client package recipe and restructured existing recipes to improve maintainability and testing coverage. Using Python and YAML, Sebastien refined metadata and licensing handling to ensure compliance, while also addressing dependency management and version control to reduce build failures. His work included implementing continuous integration triggers to validate pipelines and making targeted corrections to recipe structure, URLs, and version ranges. This comprehensive approach enhanced packaging governance and streamlined the deployment process for Ansys EDB users.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
18Total
Bugs
2
Commits
18
Features
2
Lines of code
169
Activity Months1
Your Network
827 peopleSame Organization
@ansys.com85
Work History
February 2026
18 Commits • 2 Features
Feb 1, 2026February 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.
18 Commits • 2 Features
Feb 1, 2026February 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.
February 2026
Activity
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Quality Metrics
Correctness98.8%
Maintainability98.8%
Architecture98.8%
Performance98.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Continuous IntegrationDevOpsPythonPython developmentPython packagingTestingYAMLYAML configurationconfiguration managementdependency managementdependency resolutiondocumentationfile formattinggRPCmetadata management
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