conda-forge/staged-recipes
Jan 2026 – Mar 2026
3 Months active
Languages Used
YAMLPatchPythonCMake
Technical Skills
PythonPython packagingYAML configurationcollaborationcommunity collaborationdependency management
Diego Ferigo
PROFILE
Diego Ferigo
During three months contributing to conda-forge/staged-recipes, dgferigo developed and maintained nine packaging features spanning robotics SDKs, distributed machine learning tools, and 3D mesh processing libraries. He introduced GPU-accelerated simulation engines and cross-platform recipes, integrating C++, CMake, and Python to ensure robust builds and automated testing across Linux, macOS, and Windows. His work included dependency management, recipe standardization, and governance improvements, such as expanding maintainership and removing deprecated packages. By refining CI workflows and patching for compatibility, dgferigo enhanced the reliability and maintainability of the packaging ecosystem, demonstrating depth in open source collaboration and technical project management.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
16Total
Bugs
1
Commits
16
Features
9
Lines of code
1,452
Activity Months3
Your Network
742 peopleWork History
March 2026
6 Commits • 4 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for conda-forge/staged-recipes. Delivered major ecosystem enhancements across robotics, physics simulation, distributed ML tooling, and 3D mesh processing, while tightening CI stability and cross-platform packaging.
6 Commits • 4 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for conda-forge/staged-recipes. Delivered major ecosystem enhancements across robotics, physics simulation, distributed ML tooling, and 3D mesh processing, while tightening CI stability and cross-platform packaging.
March 2026
February 2026
3 Commits • 3 Features
Feb 1, 2026February 2026 (2026-02) monthly summary for conda-forge/staged-recipes: Delivered three new packaging recipes and strengthened cross-platform support, with a focus on reliability and maintainability of conda environments. Key features introduced include fast quadratic mesh simplification (fast-simplification) recipe, unitree-sdk2 packaging, and mip-sdk with Windows support and integrated build/test configurations. CI, linting, and patch-based improvements enhanced reproducibility and downstream compatibility across Windows and POSIX systems.
February 2026
3 Commits • 3 Features
Feb 1, 2026February 2026 (2026-02) monthly summary for conda-forge/staged-recipes: Delivered three new packaging recipes and strengthened cross-platform support, with a focus on reliability and maintainability of conda environments. Key features introduced include fast quadratic mesh simplification (fast-simplification) recipe, unitree-sdk2 packaging, and mip-sdk with Windows support and integrated build/test configurations. CI, linting, and patch-based improvements enhanced reproducibility and downstream compatibility across Windows and POSIX systems.
January 2026
7 Commits • 2 Features
Jan 1, 2026Concise monthly summary for 2026-01 focused on delivering packaging improvements, governance enhancements, and cleanup for conda-forge/staged-recipes.
7 Commits • 2 Features
Jan 1, 2026Concise monthly summary for 2026-01 focused on delivering packaging improvements, governance enhancements, and cleanup for conda-forge/staged-recipes.
January 2026
Activity
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Quality Metrics
Correctness93.8%
Maintainability93.8%
Architecture93.8%
Performance91.2%
AI Usage22.4%
Skills & Technologies
Programming Languages
CMakePatchPythonYAML
Technical Skills
C++CMakePackage ManagementPyTorchPythonPython developmentPython packagingTestingWindows developmentYAML configurationcollaborationcommunity collaborationdependency managementembedded systemsopen source contribution
Repositories Contributed To
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