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Matt Stone

PROFILE

Matt Stone

Developed and released the fgmetric package in conda-forge/staged-recipes, introducing type-validated Python data models for delimited files and clarifying licensing metadata to improve packaging compliance. Focused on robust data validation and metadata management, the work enhanced data reliability and downstream usability. In bioconda/bioconda-recipes, updated the latch recipe to support Python 3.10–3.12, modernized dependency management with a centralized versioning approach, and expanded test coverage to catch metadata drift and verify entry-point wiring. Leveraged Python and YAML to streamline package building and testing, ensuring compliance with Bioconda standards and increasing the resilience and maintainability of distributed packages.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
2
Lines of code
92
Activity Months2

Work History

May 2026

2 Commits • 1 Features

May 1, 2026

May 2026 Monthly Summary for bioconda/bioconda-recipes focused on Python versioning compatibility and latch recipe packaging compliance. Delivered updates to support Python 3.10–3.12 in dependencies, modernized the Python pin via a centralized python_min variable, and aligned host/run/test pins to Bioconda conventions. Expanded test coverage surfaced metadata drift and increased regression safety (gql contract, websockets-related modules, and key user-facing surfaces). Added resilience in tests with pip check || true and ensured entry-point wiring visibility via latch --version. Documentation updated to pin websockets 11.0.3 with references to upstream tickets. Build number bumped 2 -> 3; version unchanged. Commit history highlights include e0be32f6c7e8be8e1d059d7516aa09f7fcd0e23c and 11492d51ebd2bdc78e3b72f163991479721971ef for traceability.

January 2026

2 Commits • 1 Features

Jan 1, 2026

January 2026: Delivered fgmetric in conda-forge/staged-recipes, introducing type-validated data models for delimited data files and clarifying licensing metadata with a license_family field in meta.yaml. Implemented via two commits: feat: add fgmetric and fix: add license_family. This work improves data reliability, governance, and downstream packaging, enabling safer, reproducible usage of curated data models. Demonstrated capabilities in type validation, packaging metadata, and release engineering to support faster, compliant integrations.

Activity

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Quality Metrics

Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance95.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

Data validationDependency managementPackage buildingPackage managementPython developmentTestingmetadata managementpackage management

Repositories Contributed To

2 repos

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

conda-forge/staged-recipes

Jan 2026 Jan 2026
1 Month active

Languages Used

PythonYAML

Technical Skills

Data validationPackage managementPython developmentmetadata managementpackage management

bioconda/bioconda-recipes

May 2026 May 2026
1 Month active

Languages Used

Python

Technical Skills

Dependency managementPackage buildingPackage managementPython developmentTesting