KotatsuApp/kotatsu-parsers
Oct 2024 – Apr 2025
4 Months active
Languages Used
JavaKotlinYAML
Technical Skills
API IntegrationBackend DevelopmentBug FixingCode RefactoringDomain ManagementParsing
devi
PROFILE
Devi
Worked on the KotatsuApp/kotatsu-parsers repository to enhance manga data retrieval and reliability across multiple sources. Focused on backend development and web scraping, using Kotlin and Java to implement new parsers, refactor legacy code, and address critical bugs. Improved data parsing logic to ensure accurate chapter counts and robust handling of domain changes, while streamlining parser maintenance for future scalability. Delivered features such as the PhenixScans parser with full data coverage and advanced sorting, and enhanced user-facing sorting in HitomiLaParser. These efforts reduced data errors, improved uptime, and established a maintainable foundation for ongoing parser evolution and integration.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
6Total
Bugs
2
Commits
6
Features
3
Lines of code
2,858
Activity Months4
Your Network
36 peopleSame Organization
@aleeas.com13
Dragibus NoirMember
Daniel Chiuratto SeabraMember
Gustavo Henrique Montesião de SousaMember
Luca SaccarolaMember
AdamMember
Edouard RiviereMember
laurenspriemMember
KoizelMember
Oasis TriMember
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 — KotatsuApp/kotatsu-parsers: Delivered the PhenixScans Parser with full manga data retrieval (lists, details, pages) and added filters and sorting. Refactored LegacyScans and KeyoappParser to unify parsing logic and improve maintainability across parsers. Fixed critical issues in PhenixScans and KeyoappParser (close #1599, #1675, #1640) culminating in a more reliable data extraction pipeline. Commit 3771b8d26baf58087d0af20dffa4e925cefc3aa4 captures these changes. Impact: expanded data coverage, improved reliability and consistency, and a solid foundation for future parser enhancements.
1 Commits • 1 Features
Apr 1, 2025April 2025 — KotatsuApp/kotatsu-parsers: Delivered the PhenixScans Parser with full manga data retrieval (lists, details, pages) and added filters and sorting. Refactored LegacyScans and KeyoappParser to unify parsing logic and improve maintainability across parsers. Fixed critical issues in PhenixScans and KeyoappParser (close #1599, #1675, #1640) culminating in a more reliable data extraction pipeline. Commit 3771b8d26baf58087d0af20dffa4e925cefc3aa4 captures these changes. Impact: expanded data coverage, improved reliability and consistency, and a solid foundation for future parser enhancements.
April 2025
December 2024
1 Commits
Dec 1, 2024December 2024 monthly review for KotatsuApp/kotatsu-parsers: Focused on reliability of manga source parsers and enhancement of HitomiLaParser sorting. Delivered a comprehensive fix across multiple sources and updated domain data, plus a major improvement to user-facing popularity sorting. These changes improve data accuracy, reduce broken source incidents, and enhance the reader experience.
December 2024
1 Commits
Dec 1, 2024December 2024 monthly review for KotatsuApp/kotatsu-parsers: Focused on reliability of manga source parsers and enhancement of HitomiLaParser sorting. Delivered a comprehensive fix across multiple sources and updated domain data, plus a major improvement to user-facing popularity sorting. These changes improve data accuracy, reduce broken source incidents, and enhance the reader experience.
November 2024
1 Commits
Nov 1, 2024November 2024 monthly summary for KotatsuParsers focused on data reliability and accuracy in the Manhwa chapter fetch pipeline. Implemented a refactor to how the maximum page number is determined to ensure complete retrieval of chapters across ManhwaLatino and other sources, addressing previously incomplete fetches. Also applied a patch to correct total chapter counts for specific manga, ensuring accurate metadata. Key commit: f610ae6412f21789b4b23f86e95c29e326891126. Outcome: improved data integrity, reduced downstream corrections, and better user-facing chapter metadata.
1 Commits
Nov 1, 2024November 2024 monthly summary for KotatsuParsers focused on data reliability and accuracy in the Manhwa chapter fetch pipeline. Implemented a refactor to how the maximum page number is determined to ensure complete retrieval of chapters across ManhwaLatino and other sources, addressing previously incomplete fetches. Also applied a patch to correct total chapter counts for specific manga, ensuring accurate metadata. Key commit: f610ae6412f21789b4b23f86e95c29e326891126. Outcome: improved data integrity, reduced downstream corrections, and better user-facing chapter metadata.
November 2024
October 2024
3 Commits • 2 Features
Oct 1, 2024October 2024: Focused on reliability, accuracy, and maintainability of the manga data parser. Implemented Manga Data Source Reliability and Parsing Improvements to fix search/page loading issues, update domain addresses across multiple sources, and mark broken/redirected sources due to site changes. Also completed a Parser Code Quality Refactor for Readability to streamline parser files, rename variables, and remove unused imports, setting the stage for faster updates as source sites evolve. These efforts reduce user-facing data errors, improve uptime, and lower ongoing maintenance costs across KotatsuApp’s parsing workflow.
October 2024
3 Commits • 2 Features
Oct 1, 2024October 2024: Focused on reliability, accuracy, and maintainability of the manga data parser. Implemented Manga Data Source Reliability and Parsing Improvements to fix search/page loading issues, update domain addresses across multiple sources, and mark broken/redirected sources due to site changes. Also completed a Parser Code Quality Refactor for Readability to streamline parser files, rename variables, and remove unused imports, setting the stage for faster updates as source sites evolve. These efforts reduce user-facing data errors, improve uptime, and lower ongoing maintenance costs across KotatsuApp’s parsing workflow.
Activity
Loading activity data...
Quality Metrics
Correctness81.8%
Maintainability83.4%
Architecture80.0%
Performance76.6%
AI Usage23.4%
Skills & Technologies
Programming Languages
JavaKotlinYAML
Technical Skills
API IntegrationBackend DevelopmentBug FixingCode RefactoringData ParsingDomain ManagementKotlinParsingSource MaintenanceWeb Scraping
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline