conda-forge/staged-recipes
Jan 2026 – Jan 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
Dependency ManagementPackage ManagementPythonYAMLpackage management
Patrick Sodré
PROFILE
Patrick Sodré
Patrick developed and delivered the Zae-limiter rate limiting recipe for the conda-forge/staged-recipes repository, implementing a DynamoDB-backed token bucket system. He focused on robust dependency and package management using Python and YAML, ensuring the recipe included comprehensive build instructions and a testing configuration for reliable installation and functional verification. By configuring the package as noarch Python with python_min, Patrick enabled cross-platform compatibility and streamlined the packaging workflow. His work established end-to-end validation through install and functional tests, addressing both installation and operational correctness. The depth of his contribution is reflected in the thoroughness of the packaging and validation processes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
55
Activity Months1
Your Network
742 peopleWork History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for conda-forge/staged-recipes: Delivered the Zae-limiter Rate Limiting Recipe (DynamoDB-backed Token Bucket) with dependencies, build instructions, and testing configuration to ensure reliable installation and functional verification. Implemented cross-platform considerations with a noarch Python recipe (python_min) and updated packaging workflows to support end-to-end validation. All changes are tracked in two commits.
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for conda-forge/staged-recipes: Delivered the Zae-limiter Rate Limiting Recipe (DynamoDB-backed Token Bucket) with dependencies, build instructions, and testing configuration to ensure reliable installation and functional verification. Implemented cross-platform considerations with a noarch Python recipe (python_min) and updated packaging workflows to support end-to-end validation. All changes are tracked in two commits.
January 2026
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
Dependency ManagementPackage ManagementPythonYAMLpackage management
Repositories Contributed To
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