conda-forge/staged-recipes
Nov 2025 – Dec 2025
2 Months active
Languages Used
PythonYAML
Technical Skills
API integrationDependency managementPythonPython developmentYAMLYAML configuration
zephyap
PROFILE
Zephyap
Zeph Yap developed and enhanced packaging workflows for the conda-forge/staged-recipes repository, focusing on Python and YAML-based configuration management. Over two months, Zeph released the Arize recipe, introducing multi-output support and improved metadata handling to streamline installation of Arize AI APIs in Python environments. He implemented dependency and package management refinements, tightened Python version compatibility, and addressed build reliability by hardening meta.yaml formatting and ensuring essential build tools like hatchling were included. Zeph also introduced the arize-with-datasets metapackage, expanding dataset support and testing requirements. These contributions reduced installation errors and improved maintainability for users integrating Arize APIs.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
13Total
Bugs
1
Commits
13
Features
2
Lines of code
330
Activity Months2
Your Network
743 peopleSame Organization
@nearmap.com1
Work History
December 2025
5 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — concise monthly summary of contributions to conda-forge/staged-recipes focusing on feature delivery, bug fixes, and overall impact. Emphasizes business value, build reliability, and dataset support enhancements.
5 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — concise monthly summary of contributions to conda-forge/staged-recipes focusing on feature delivery, bug fixes, and overall impact. Emphasizes business value, build reliability, and dataset support enhancements.
December 2025
November 2025
8 Commits • 1 Features
Nov 1, 2025Month 2025-11: Delivered Arize recipe for conda-forge/staged-recipes with packaging enhancements and multi-output support; improved metadata handling; removed unstable outputs; and tightened Python version compatibility. These changes streamline installation of Arize AI APIs in Python environments and set a solid foundation for future enhancements.
November 2025
8 Commits • 1 Features
Nov 1, 2025Month 2025-11: Delivered Arize recipe for conda-forge/staged-recipes with packaging enhancements and multi-output support; improved metadata handling; removed unstable outputs; and tightened Python version compatibility. These changes streamline installation of Arize AI APIs in Python environments and set a solid foundation for future enhancements.
Activity
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Quality Metrics
Correctness98.6%
Maintainability95.4%
Architecture97.0%
Performance95.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API integrationConfiguration ManagementDependency managementDevOpsPythonPython developmentYAMLYAML configurationdependency managementmetadata handlingmetadata managementpackage managementrecipe managementtesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline