conda-forge/staged-recipes
Apr 2026 – Apr 2026
1 Month active
Languages Used
YAML
Technical Skills
Continuous IntegrationPythonPython developmentTestingconfiguration managementdependency management
Cheng Cui
PROFILE
Cheng Cui
Developed and maintained the Air Allergy Research Kit (aark) recipe for the conda-forge/staged-recipes repository, focusing on reliable packaging and distribution within the Python ecosystem. The work involved creating build and install specifications, managing dependencies, and implementing comprehensive test requirements using YAML and Python. Addressed versioning and Python compatibility by updating the compatibility matrix and ensuring tests covered both minimum and latest supported Python versions. Collaborated closely with maintainers, incorporating feedback to refine metadata and align with linting standards. Emphasized configuration management and continuous integration practices to ensure the package met conda-forge guidelines for quality and maintainability across environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
58
Activity Months1
Your Network
902 peopleShared Repositories
902
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Work History
April 2026
4 Commits • 1 Features
Apr 1, 2026April 2026 (2026-04) monthly summary for conda-forge/staged-recipes. Delivered the Air Allergy Research Kit (aark) recipe to conda-forge, including build/install specs, dependencies, and test requirements; updated versioning, Python compatibility matrix, and lint-compliant metadata to enable reliable installation and distribution. Implemented packaging improvements and tests per conda-forge guidelines and applied maintainer feedback to improve quality and maintainability.
4 Commits • 1 Features
Apr 1, 2026April 2026 (2026-04) monthly summary for conda-forge/staged-recipes. Delivered the Air Allergy Research Kit (aark) recipe to conda-forge, including build/install specs, dependencies, and test requirements; updated versioning, Python compatibility matrix, and lint-compliant metadata to enable reliable installation and distribution. Implemented packaging improvements and tests per conda-forge guidelines and applied maintainer feedback to improve quality and maintainability.
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Continuous IntegrationPythonPython developmentTestingconfiguration managementdependency managementdevopspackage management
Repositories Contributed To
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