logicalclocks/hopsworks-api
Feb 2026 – Apr 2026
3 Months active
Languages Used
PythonJava
Technical Skills
Pythonbackend developmentAPI developmentdata manipulationunit testingAPI Development
Jim Dowling
PROFILE
Jim Dowling
Over a three-month period, this developer enhanced the logicalclocks/hopsworks-api repository by delivering five new features and resolving a core bug. Their work included implementing time range filtering for feature group reading, expanding input type support, and updating documentation to streamline time-series analytics. They introduced secure Superset API integration with CSRF protection and session management, added built-in data preprocessing transformations, and improved caching for feature lookups. Additional contributions included enabling Spark Connect compatibility and supporting Streamlit app management within the Python SDK. Their technical approach leveraged Python, Java, Spark, and robust unit testing to optimize backend reliability and data engineering workflows.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
5
Lines of code
5,668
Activity Months3
Your Network
19 peopleSame Organization
@hopsworks.ai4
Shared Repositories
15
Work History
April 2026
5 Commits • 4 Features
Apr 1, 2026April 2026 (2026-04) monthly summary for logicalclocks/hopsworks-api focused on delivering business-value driven API enhancements, performance optimizations, and platform UX improvements. Highlights include secure, scalable Superset API integration; feature view preprocessing and caching improvements; project-level app support and home-path exposure; and Spark Connect compatibility for HSFS with monitoring hooks.
5 Commits • 4 Features
Apr 1, 2026April 2026 (2026-04) monthly summary for logicalclocks/hopsworks-api focused on delivering business-value driven API enhancements, performance optimizations, and platform UX improvements. Highlights include secure, scalable Superset API integration; feature view preprocessing and caching improvements; project-level app support and home-path exposure; and Spark Connect compatibility for HSFS with monitoring hooks.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for logicalclocks/hopsworks-api: Delivered time range filtering for feature group reading, enabling start_time and end_time based data retrieval; extended input type support; updated documentation with usage examples; and improved onboarding for time-based analytics. This work reduces downstream filtering, improves data access latency, and supports more robust time-series analytics for feature groups.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for logicalclocks/hopsworks-api: Delivered time range filtering for feature group reading, enabling start_time and end_time based data retrieval; extended input type support; updated documentation with usage examples; and improved onboarding for time-based analytics. This work reduces downstream filtering, improves data access latency, and supports more robust time-series analytics for feature groups.
February 2026
1 Commits
Feb 1, 2026Concise monthly summary for 2026-02 highlighting key accomplishments, major fixes, and impact across the repository logicalclocks/hopsworks-api.
1 Commits
Feb 1, 2026Concise monthly summary for 2026-02 highlighting key accomplishments, major fixes, and impact across the repository logicalclocks/hopsworks-api.
February 2026
Activity
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Quality Metrics
Correctness91.4%
Maintainability82.8%
Architecture85.8%
Performance85.8%
AI Usage42.8%
Skills & Technologies
Programming Languages
JavaPython
Technical Skills
API DevelopmentAPI developmentAuthentication HandlingCSRF ProtectionData EngineeringJava DevelopmentPythonPython SDK DevelopmentSparkStreamlitUnit Testingbackend developmentdata manipulationdata preprocessingdata transformation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline