preset-io/superset
Sep 2025 – Apr 2026
3 Months active
Languages Used
JavaScriptPythonSQLTypeScript
Technical Skills
API DevelopmentBackend DevelopmentFeature ImplementationFlaskFrontend DevelopmentReact
Hugh A. Miles II
PROFILE
Hugh A. Miles Ii
Hugh Miles developed and delivered three end-to-end features for the preset-io/superset repository over three months, focusing on enhancing security and user experience in data workflows. He implemented dashboard-native filter support for alert reports, updating both React frontend components and Python backend logic to propagate filter parameters and streamline alert-driven insights. Hugh also introduced granular export controls, replacing legacy permission models with fine-grained, per-user export permissions for data, images, and clipboard actions. His work included migration strategies to maintain backward compatibility, demonstrating depth in full stack development, API design, and testing, while addressing security, governance, and usability requirements for enterprise environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
2,834
Activity Months3
Your Network
162 peopleWork History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for preset-io/superset focused on security controls and export workflows. Delivered granular export controls with fine-grained permissions across data, image, and clipboard exports, replacing the legacy permission model. Introduced migration behavior to retain existing role access while enabling selective permission revocation. This work improves security, governance, and usability of exports, reducing risk of data leakage and enabling auditable access control. The effort sets the foundation for policy-driven exports and deeper RBAC improvements.
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for preset-io/superset focused on security controls and export workflows. Delivered granular export controls with fine-grained permissions across data, image, and clipboard exports, replacing the legacy permission model. Introduced migration behavior to retain existing role access while enabling selective permission revocation. This work improves security, governance, and usability of exports, reducing risk of data leakage and enabling auditable access control. The effort sets the foundation for policy-driven exports and deeper RBAC improvements.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Implemented Granular Export Controls (Phase 1) in preset-io/superset to enforce per-user permissions for exporting data, images, and clipboard actions. This strengthens security, reduces data leakage risk, and provides users with finer control over data exports. The work aligns with security requirements and sets the foundation for future enhancements.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Implemented Granular Export Controls (Phase 1) in preset-io/superset to enforce per-user permissions for exporting data, images, and clipboard actions. This strengthens security, reduces data leakage risk, and provides users with finer control over data exports. The work aligns with security requirements and sets the foundation for future enhancements.
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
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Quality Metrics
Correctness96.6%
Maintainability80.0%
Architecture93.4%
Performance76.6%
AI Usage60.0%
Skills & Technologies
Programming Languages
JavaScriptPythonSQLTypeScript
Technical Skills
API DevelopmentAPI developmentBackend DevelopmentFeature ImplementationFlaskFrontend DevelopmentNodePythonReactReduxSQLAlchemyTestingfull stack developmenttesting
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