metabrainz/listenbrainz-server
Dec 2025 – Feb 2026
3 Months active
Languages Used
TypeScriptPython
Technical Skills
Reactfront end developmentSQLbackend developmentdata processingPython
AshutoshThings
PROFILE
Ashutoshthings
Contributed to the metabrainz/listenbrainz-server project by delivering targeted improvements in data accuracy and analytics reliability over a three-month period. Addressed playback issues by updating the Navidrome track duration logic to use API-provided values, enhancing playback precision through React-based front end changes. Improved backend data integrity by migrating year filtering for analytics dashboards from Spark to SQL, ensuring charts excluded invalid pre-1900 data and reducing the risk of misleading statistics. Expanded historical analytics coverage by adjusting the era activity year filter to 1800, supporting richer user insights. Demonstrated proficiency in Python, SQL, and data processing across the stack.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
3Total
Bugs
2
Commits
3
Features
1
Lines of code
14
Activity Months3
Your Network
51 peopleWork History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for metabrainz/listenbrainz-server. Key feature delivered: Era Activity Statistics now include a broader historical window by updating the year filter from 1900 to 1800, enabling more complete analytics of long-term user activity. Commit applied: bf88c2c4db1fc8c7c94c1523b58c33ca79888f7a ("Update year filter threshold to 1800"). Major bugs fixed: none reported this month; focus was on a targeted correctness improvement with low risk. Overall impact and accomplishments: improved data completeness and accuracy for era analytics, supporting better product decisions and richer user insights. Technologies/skills demonstrated: analytics query refinement, precise Git-change management, and data-driven decision making across the ListenBrainz server stack.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for metabrainz/listenbrainz-server. Key feature delivered: Era Activity Statistics now include a broader historical window by updating the year filter from 1900 to 1800, enabling more complete analytics of long-term user activity. Commit applied: bf88c2c4db1fc8c7c94c1523b58c33ca79888f7a ("Update year filter threshold to 1800"). Major bugs fixed: none reported this month; focus was on a targeted correctness improvement with low risk. Overall impact and accomplishments: improved data completeness and accuracy for era analytics, supporting better product decisions and richer user insights. Technologies/skills demonstrated: analytics query refinement, precise Git-change management, and data-driven decision making across the ListenBrainz server stack.
February 2026
January 2026
1 Commits
Jan 1, 2026January 2026 — ListenBrainz server: Data quality and reliability improvements for analytics dashboards. Key achievements include a backend data integrity enhancement that filters out invalid year data for charts, moving the fix from Spark to SQL for stronger reliability and performance. The change reduces risk of distorted sitewide and per-user statistics visualizations and strengthens trust in analytics.
January 2026
1 Commits
Jan 1, 2026January 2026 — ListenBrainz server: Data quality and reliability improvements for analytics dashboards. Key achievements include a backend data integrity enhancement that filters out invalid year data for charts, moving the fix from Spark to SQL for stronger reliability and performance. The change reduces risk of distorted sitewide and per-user statistics visualizations and strengthens trust in analytics.
December 2025
1 Commits
Dec 1, 2025December 2025 monthly summary for metabrainz/listenbrainz-server. Focused on delivering a targeted bug fix to improve playback accuracy and reliability of Navidrome tracks by relying on API-provided duration rather than browser estimation.
1 Commits
Dec 1, 2025December 2025 monthly summary for metabrainz/listenbrainz-server. Focused on delivering a targeted bug fix to improve playback accuracy and reliability of Navidrome tracks by relying on API-provided duration rather than browser estimation.
December 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTypeScript
Technical Skills
PythonReactSQLbackend developmentdata analysisdata processingfront end development
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