conda-forge/staged-recipes
May 2025 – May 2025
1 Month active
Languages Used
YAML
Technical Skills
CI/CDPackage Management
Peruzzetto Marc
PROFILE
Peruzzetto Marc
During May 2025, Matteo Peruzzetto developed and contributed a new recipe for the pytopomap Python package to the conda-forge/staged-recipes repository. He focused on enabling reproducible installations by specifying versioning, source URLs, build configurations, and runtime dependencies such as Plotly for visualization. Using YAML for configuration and leveraging CI/CD practices, Matteo ensured the package included basic import tests and comprehensive metadata describing its purpose and license. This work improved packaging hygiene and discoverability within the conda ecosystem, reducing integration effort for scientific users and supporting streamlined, user-friendly deployment of pytopomap through conda-forge’s package management infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
49
Activity Months1
Your Network
649 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05 Key features delivered: - Added Pytopomap Python package recipe in conda-forge/staged-recipes. The recipe specifies version, source URL, build configurations, and runtime dependencies (including Plotly for visualization). Basic import tests and metadata describing the package’s purpose and license were included. - Commit reference: 0157fc643d26a6e494394b8a5b42a3b18ee69733. Major bugs fixed: - None reported this month. Overall impact and accomplishments: - Enabled reproducible, user-friendly installation of pytopomap via conda-forge, expanding accessibility for data visualization workflows and scientific users. - Improves packaging hygiene and discoverability for the package within the conda ecosystem. The work reduces downstream integration effort by providing a ready-to-use, tested recipe. Technologies/skills demonstrated: - Conda-forge staged-recipes workflow, Python packaging, and recipe metadata management. - Dependency specification (including Plotly) and build configuration. - Basic import testing and release hygiene to ensure package usability.
1 Commits • 1 Features
May 1, 2025Month: 2025-05 Key features delivered: - Added Pytopomap Python package recipe in conda-forge/staged-recipes. The recipe specifies version, source URL, build configurations, and runtime dependencies (including Plotly for visualization). Basic import tests and metadata describing the package’s purpose and license were included. - Commit reference: 0157fc643d26a6e494394b8a5b42a3b18ee69733. Major bugs fixed: - None reported this month. Overall impact and accomplishments: - Enabled reproducible, user-friendly installation of pytopomap via conda-forge, expanding accessibility for data visualization workflows and scientific users. - Improves packaging hygiene and discoverability for the package within the conda ecosystem. The work reduces downstream integration effort by providing a ready-to-use, tested recipe. Technologies/skills demonstrated: - Conda-forge staged-recipes workflow, Python packaging, and recipe metadata management. - Dependency specification (including Plotly) and build configuration. - Basic import testing and release hygiene to ensure package usability.
May 2025
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
CI/CDPackage Management
Repositories Contributed To
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