preset-io/superset
Sep 2025 – Sep 2025
1 Month active
Languages Used
JavaScriptPythonSQLTypeScript
Technical Skills
API DevelopmentBackend DevelopmentFeature ImplementationFlaskFrontend DevelopmentReact
Hugh A. Miles II
PROFILE
Hugh A. Miles Ii
Hugh Miles developed end-to-end dashboard-native filter support for alert reports in the preset-io/superset repository, delivering a feature that enables users to apply native dashboard filters when creating or editing alert reports. He updated both the React-based frontend, enhancing the AlertReportModal to support filter selection, and the Python Flask backend, ensuring filter parameters are processed and included in generated report URLs. This integration aligned alert reporting with the core dashboard filtering experience, reducing manual steps and improving the reliability of alert-driven insights. His work demonstrated depth in API development, backend logic, and frontend implementation using Python, React, and SQLAlchemy.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,257
Activity Months1
Your Network
143 peopleShared Repositories
143
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for preset-io/superset focused on delivering end-to-end Dashboard-native Filter Support for Alert Reports. The feature enables applying native dashboard filters when creating or editing alert reports, with backend logic updated to propagate filter parameters into report URLs. This aligns alert reporting with the core dashboard experience, reduces manual filtering steps, and enhances reliability of alert-driven insights.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for preset-io/superset focused on delivering end-to-end Dashboard-native Filter Support for Alert Reports. The feature enables applying native dashboard filters when creating or editing alert reports, with backend logic updated to propagate filter parameters into report URLs. This aligns alert reporting with the core dashboard experience, reduces manual filtering steps, and enhances reliability of alert-driven insights.
September 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptPythonSQLTypeScript
Technical Skills
API DevelopmentBackend DevelopmentFeature ImplementationFlaskFrontend DevelopmentReactReduxSQLAlchemyTesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline