conda-forge/staged-recipes
Feb 2026 – Mar 2026
2 Months active
Languages Used
ShellbashyamlYAML
Technical Skills
C++CI/CDCMakeShell Scriptingbuild automationpackage management
j34ni
PROFILE
J34ni
Jeanine contributed to the conda-forge/staged-recipes repository by developing and integrating advanced build automation and testing features for scientific computing packages. She created a Conda recipe for Nektar++ with custom build scripts and configuration, enabling streamlined installation and reproducible builds in Conda environments. Leveraging C++, CMake, and shell scripting, she improved CI reliability by enabling unit tests during builds, adding ctest failure reporting, and skipping problematic tests on Azure CI. In addition, Jeanine integrated XPMEM for zero-copy intra-node MPI transport, enhancing performance for large-scale workloads, and automated build-time testing with make check, strengthening release stability and development velocity.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
4
Lines of code
236
Activity Months2
Your Network
749 peopleSame Organization
@uio.no7
Work History
March 2026
3 Commits • 2 Features
Mar 1, 2026Monthly performance summary for 2026-03 focusing on delivered features and reliability improvements in the conda-forge/staged-recipes repository.
3 Commits • 2 Features
Mar 1, 2026Monthly performance summary for 2026-03 focusing on delivered features and reliability improvements in the conda-forge/staged-recipes repository.
March 2026
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for conda-forge/staged-recipes. Key outcomes include delivering a Nektar++ Conda Recipe to streamline installation in conda environments and implementing CI/test improvements to enhance build reliability. The changes provide faster feedback, reproducible builds, and broader accessibility for Nektar++ users in the Conda ecosystem.
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for conda-forge/staged-recipes. Key outcomes include delivering a Nektar++ Conda Recipe to streamline installation in conda environments and implementing CI/test improvements to enhance build reliability. The changes provide faster feedback, reproducible builds, and broader accessibility for Nektar++ users in the Conda ecosystem.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
ShellYAMLbashyaml
Technical Skills
C programmingC++CI/CDCMakeLinuxShell Scriptingbuild automationbuild system configurationpackage managementscientific computingshell scriptingsoftware packagingtesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline