maplibre/maplibre-tile-spec
Feb 2026 – Mar 2026
2 Months active
Languages Used
JavaRustTypeScript
Technical Skills
TypeScriptdata encodingfull stack developmentgeometric algorithmsperformance optimizationtesting
DoFabien
PROFILE
Dofabien
Fabien Delolmo contributed to the maplibre/maplibre-tile-spec repository by developing geometric data handling optimizations and enhancing data compression workflows. He implemented Morton encoding techniques for efficient geometric processing and introduced synthetic test fixtures to validate new encoding paths, using TypeScript and Rust. Fabien also integrated the FastPFOR encoder/decoder in TypeScript, improving both encoding and decoding performance for tile data. His work included refining the TypeScript decoder to handle ID columns by metadata type and ensuring correct unsigned value preservation, supported by comprehensive regression tests. These contributions improved test reliability, reduced execution times, and strengthened the robustness of tile data processing.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
5,102
Activity Months2
Your Network
15 peopleShared Repositories
15
Work History
March 2026
3 Commits • 1 Features
Mar 1, 2026March 2026 — maplibre-tile-spec Delivered performance-focused data handling enhancements and robust decoding fixes that improve tile data reliability and processing speed for production workloads.
3 Commits • 1 Features
Mar 1, 2026March 2026 — maplibre-tile-spec Delivered performance-focused data handling enhancements and robust decoding fixes that improve tile data reliability and processing speed for production workloads.
March 2026
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 — Map tile spec repository (maplibre/maplibre-tile-spec) 1) Key features delivered - Geometric data handling optimizations with Morton encoding, including new logical encodings for Morton-based processing. - Added Morton-based synthetic test fixture (line_morton) and TS decoding adjustments: when a fixture name contains morton, decode with geometryVector.mortonSettings; tests updated to align with new encoding path. - Updated tests to reflect Morton encoding changes to ensure correct and efficient computations. 2) Major bugs fixed - No major bugs fixed this month in this repository; focus was on feature delivery and test reliability/performance improvements. 3) Overall impact and accomplishments - Significant test-time reductions enabling faster feedback: mltDecoder MVT comparison tests moved from hot-path expect to assert, cutting run times from 63s to 9s (without coverage) and from 101s to 20s (with coverage) on local runs. - Strengthened correctness and performance of Morton-encoding paths, improving tile-generation reliability and throughput in tile-spec workflows. 4) Technologies/skills demonstrated - Morton encoding techniques for geometric data, synthetic fixture development for Morton scenarios, TS test wiring with mortonSettings, test optimization (replacing expect with assert), and performance benchmarking.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 — Map tile spec repository (maplibre/maplibre-tile-spec) 1) Key features delivered - Geometric data handling optimizations with Morton encoding, including new logical encodings for Morton-based processing. - Added Morton-based synthetic test fixture (line_morton) and TS decoding adjustments: when a fixture name contains morton, decode with geometryVector.mortonSettings; tests updated to align with new encoding path. - Updated tests to reflect Morton encoding changes to ensure correct and efficient computations. 2) Major bugs fixed - No major bugs fixed this month in this repository; focus was on feature delivery and test reliability/performance improvements. 3) Overall impact and accomplishments - Significant test-time reductions enabling faster feedback: mltDecoder MVT comparison tests moved from hot-path expect to assert, cutting run times from 63s to 9s (without coverage) and from 101s to 20s (with coverage) on local runs. - Strengthened correctness and performance of Morton-encoding paths, improving tile-generation reliability and throughput in tile-spec workflows. 4) Technologies/skills demonstrated - Morton encoding techniques for geometric data, synthetic fixture development for Morton scenarios, TS test wiring with mortonSettings, test optimization (replacing expect with assert), and performance benchmarking.
Activity
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Quality Metrics
Correctness96.0%
Maintainability80.0%
Architecture84.0%
Performance84.0%
AI Usage32.0%
Skills & Technologies
Programming Languages
JavaRustTypeScript
Technical Skills
Data EncodingDecoding AlgorithmsTypeScriptdata compressiondata encodingfull stack developmentgeometric algorithmsperformance optimizationtesting
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