May 2026 monthly summary for OSGeo/gdal development focusing on delivering business value and technical resilience. Key change implemented this month: KEA dataset compatibility with Kealib 2.0, enabling users to ingest and work with datasets from the Kealib 2.0 library while preserving existing workflows. This involved updating the Kea dataset implementation, bumping the library version, and adjusting dataset handling to accommodate API changes in Kealib 2.0. The work also informed updated minimum Kealib version guidance for downstream users (likely 1.5–1.6; 1.4.2 no longer supported).

April 2026 performance: Delivered QtKeychain Output Mapping and Configuration for conda-forge/admin-requests, introducing a mapping config to surface qtkeychain feedstock outputs as qtkeychain-qt*, and renaming the config file from .qml to .yml to reflect YAML-based usage. Implemented via commits 425854da840af609882e91b77d14c4c4c0593724 ("add qtkeychain-qt*") and 765d9dc9eeae615706d1981c802272a6b3e5a6fe ("fix extension"). This work improves configurability, downstream automation, and maintainability of feedstock mappings.

Month 2024-12: Delivered a performance-oriented improvement to KEA format RAT handling in GDAL by aligning the RAT copy chunk size with the native HDF5 default. The change increases the copy chunk from a fixed 1000 to 10000 and uses kealib::KEA_ATT_CHUNK_SIZE for buffer allocation and loop increments, aligning with the library default to boost throughput. Implemented in OSGeo/gdal (commit: b44a419a392103fd020d6cbec3d85b17d7c05562) as part of the KEA (#11443) effort. This reduces buffering overhead and improves data import/export performance for KEA format in practice. Major bugs fixed: None reported for this scope this month. Overall impact and accomplishments: Improved data transfer performance for KEA RAT handling, aligning with HDF5/lib defaults, resulting in higher throughput for large datasets and better user experience in data processing pipelines. Demonstrates competence in low-level performance tuning, C/C++ buffer management, and cross-library integration. Technologies/skills demonstrated: C/C++ performance tuning, HDF5 chunking strategy, kealib integration, GDAL codebase familiarity, buffer management, code readability and maintainability.