Liquipedia/Lua-Modules
Nov 2025 – Nov 2025
1 Month active
Languages Used
JavaScriptLua
Technical Skills
API integrationJavaScriptLuadata visualizationfull stack development
DaVaMa1
PROFILE
Davama1
Worked on the Liquipedia/Lua-Modules repository to deliver a major upgrade to the Dota 2 rankings data format and rendering pipeline. This involved introducing a new data format and updating the data structure to improve how team rankings are handled and displayed. The work included optimizing the ranking table rendering for faster performance and a better user experience, as well as removing outdated code to reduce technical debt. Automated tests were added to validate the new data format and rendering behavior, ensuring regression safety. The project utilized JavaScript, Lua, and data visualization skills within a full stack development context.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,103
Activity Months1
Your Network
19 peopleShared Repositories
19
Work History
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for Liquipedia/Lua-Modules: Delivered a major upgrade to the Dota 2 rankings data format and rendering pipeline. The update introduces a new data format, updates the data structure, enhances handling of team rankings, optimizes ranking table rendering, removes outdated code, and adds tests to ensure functionality and regression safety. The work is backed by commit 3d852eaa7b831dfd3ec25b79dad0b3c66d51bada (#6755).
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for Liquipedia/Lua-Modules: Delivered a major upgrade to the Dota 2 rankings data format and rendering pipeline. The update introduces a new data format, updates the data structure, enhances handling of team rankings, optimizes ranking table rendering, removes outdated code, and adds tests to ensure functionality and regression safety. The work is backed by commit 3d852eaa7b831dfd3ec25b79dad0b3c66d51bada (#6755).
November 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
JavaScriptLua
Technical Skills
API integrationJavaScriptLuadata visualizationfull stack development
Repositories Contributed To
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