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Matt Craig

PROFILE

Matt Craig

Matt Craig developed and maintained packaging and configuration solutions within the conda-forge ecosystem, focusing on Python and YAML-based workflows. He delivered new recipes and metadata improvements in the staged-recipes repository, including packaging for ipyautoui and xlsxdatagrid, ensuring accurate license metadata, dependency pinning, and build reproducibility. In the admin-requests repository, Matt introduced a scalable archival configuration for retiring outdated feedstocks, establishing a repeatable governance workflow. His work emphasized configuration management, dependency handling, and linting to improve CI reliability and package quality. Across these projects, Matt demonstrated depth in Python packaging, recipe management, and automated configuration for sustainable software maintenance.

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

8Total
Bugs
1
Commits
8
Features
3
Lines of code
147
Activity Months3

Work History

November 2025

4 Commits • 1 Features

Nov 1, 2025

Monthly summary for 2025-11: Focused on delivering a scalable packaging solution for Excel datagrid support within the conda-forge ecosystem and stabilizing build-time dependencies across the staged-recipes repository.

September 2025

1 Commits • 1 Features

Sep 1, 2025

In September 2025, delivered a new Feedstock Archival Configuration in the conda-forge/admin-requests repository to support the retirement of outdated feedstocks, starting with hips-feedstock. The configuration introduces an archival action and clearly lists feedstocks to archive, enabling governance-aligned, auditable archival workflows while reducing ongoing maintenance burden. The work is traceable to commit 4a7d85d65bc38f76169f13cda80c45daf2206413 ("Request the archival of hips-feedstock"), and establishes a scalable pattern for future archival requests.

June 2025

3 Commits • 1 Features

Jun 1, 2025

June 2025: Delivered packaging and licensing improvements for the ipyautoui feature in conda-forge/staged-recipes. The work enhances build reproducibility, distribution readiness, and compliance, enabling automated widget-form creation using ipywidgets and pydantic while ensuring license metadata is correct and accessible.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

Conda RecipesConfigurationConfiguration ManagementLicensingPackage ManagementPackagingPythonPython PackagingPython packagingYAMLdata handlingdependency managementlintingpackage managementrecipe management

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

conda-forge/staged-recipes

Jun 2025 Nov 2025
2 Months active

Languages Used

PythonYAML

Technical Skills

Conda RecipesConfigurationLicensingPackage ManagementPackagingPython Packaging

conda-forge/admin-requests

Sep 2025 Sep 2025
1 Month active

Languages Used

YAML

Technical Skills

Configuration Management