cctbx/cctbx_project
Nov 2024 – Apr 2025
2 Months active
Languages Used
Python
Technical Skills
Bug FixBuild System IntegrationCode CleanupCode RefactoringCrystallographyData Parsing
cschlick
PROFILE
Cschlick
Worked on the cctbx/cctbx_project repository to deliver symmetry-aware geometry parsing and streamline Molstar integration for crystallography workflows. Developed Python-based solutions to detect symmetry operations in .geo files, enabling accurate ASU bond proxy creation and improving structure refinement reliability. Enhanced build system configuration by introducing a dedicated conda environment and a bootstrap builder for Molstar installation, reducing manual deployment steps and supporting reproducible installations. Applied skills in code refactoring, dependency management, and unit testing to improve code maintainability and CI stability. Focused on robust file parsing, geometry restraints, and cross-environment compatibility to support scalable, maintainable scientific software development.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
2
Lines of code
139
Activity Months2
Your Network
85 peopleShared Repositories
24
Aaron S. BrewsterMember
Billy K. PoonMember
chrissciwilliamsMember
Dan DeesMember
dcliebschnerMember
Derek MendezMember
David Mittan-MoreauMember
David MoreauMember
David MoreauMember
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for cctbx_project: Implemented Molstar integration to streamline installation and deployment. Introduced a dedicated conda environment for phenix_molstar and a bootstrap builder (molstar_adaptbx) to manage Molstar installation, defining source modules and registering the builder. This work enhances reproducibility, reduces manual steps, and positions Molstar-phenix workflows for broader adoption.
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for cctbx_project: Implemented Molstar integration to streamline installation and deployment. Introduced a dedicated conda environment for phenix_molstar and a bootstrap builder (molstar_adaptbx) to manage Molstar installation, defining source modules and registering the builder. This work enhances reproducibility, reduces manual steps, and positions Molstar-phenix workflows for broader adoption.
April 2025
November 2024
6 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for cctbx/cctbx_project: Delivered symmetry-aware geometry parsing with ASU bond proxy support, improved parsing reliability across Python environments, and targeted code-quality enhancements to strengthen maintainability and CI stability. These changes increase accuracy in structure refinement, reduce test fragility, and support scalable crystallography workflows.
November 2024
6 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for cctbx/cctbx_project: Delivered symmetry-aware geometry parsing with ASU bond proxy support, improved parsing reliability across Python environments, and targeted code-quality enhancements to strengthen maintainability and CI stability. These changes increase accuracy in structure refinement, reduce test fragility, and support scalable crystallography workflows.
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance90.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Bug FixBuild System ConfigurationBuild System IntegrationCode CleanupCode RefactoringCrystallographyData ParsingDependency ManagementFile ParsingGeometry RestraintsObject-Oriented ProgrammingPythonPython ScriptingSoftware InstallationSymmetry Operations
Repositories Contributed To
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