Month: 2025-10. Key outcomes include a critical PySide6 matplotlib backend bug fix and foundational Blop packaging improvements with test refinements, delivering improved Qt startup reliability, distribution readiness, and CI stability across bluesky/bluesky and conda-forge/staged-recipes.

April 2025 monthly summary for bluesky/ophyd-async. Implemented a critical parameter rename and data-shape adjustment to support multi-exposure workflows, enabling more accurate event-level exposure accounting and simplifying downstream data processing. Updated tests and ensured consistency across detector controllers and writers; changes linked to issue #726 and committed to the main branch. This work lays groundwork for scalable multi-exposure experiments and improves data fidelity.

February 2025 monthly summary for bluesky/bluesky focusing on delivering robust data processing capabilities, improved test reliability, and expanded validation across varying data shapes and detectors. Key changes reduce data processing errors, increase pipeline resilience, and enable faster, safer releases.

January 2025 performance summary: Focused on stabilizing CI/test workflows and delivering data-management improvements across bluesky/ophyd-async and bluesky. Key progress included significant Tiled Writer enhancements, broad typing and compatibility upgrades, and a critical fix to frame descriptor handling. The combined effort improved data organization, reduced CI flakiness, and strengthened code quality for maintainability and future development.