conda-forge/staged-recipes
Mar 2026 – Mar 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
Python developmentYAML configurationdata analysispackage managementremote sensing
manudeo
PROFILE
Manudeo
Manudeo Singh developed and packaged the WetlandMapper tool for the conda-forge/staged-recipes repository, enabling automated wetland mapping and classification from multispectral data. He implemented the solution using Python and YAML, focusing on robust data analysis and package management practices to streamline installation and compatibility. By updating the minimum Python version requirements and correcting the PyPI URL, Manudeo ensured reliable deployment for downstream users. His work aligned WetlandMapper’s packaging with conda-forge standards, reducing setup friction and enhancing automation capabilities. The project demonstrated depth in remote sensing workflows and careful attention to packaging stability, addressing both feature delivery and maintenance needs.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
77
Activity Months1
Your Network
742 peopleWork History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for conda-forge/staged-recipes: Delivered a new WetlandMapper recipe enabling automatic wetland mapping and classification from multispectral data, and implemented packaging and compatibility updates to ensure reliable installation for WetlandMapper 1.0.5. These efforts enhance automation capabilities, reduce setup friction for downstream users, and strengthen packaging stability across the conda-forge ecosystem.
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for conda-forge/staged-recipes: Delivered a new WetlandMapper recipe enabling automatic wetland mapping and classification from multispectral data, and implemented packaging and compatibility updates to ensure reliable installation for WetlandMapper 1.0.5. These efforts enhance automation capabilities, reduce setup friction for downstream users, and strengthen packaging stability across the conda-forge ecosystem.
March 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
Python developmentYAML configurationdata analysispackage managementremote sensing
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