January 2026 monthly summary for GEMScienceTools/oq-mbtk focusing on key product deliveries, quality improvements, and technical accomplishments.

December 2025: Focused on delivering core GMPE/CGMPE capabilities with validations, expanding test coverage, and improving documentation and code quality to increase reliability and maintainability of oq-mbtk.

Performance Review Summary for GEMScienceTools/oq-mbtk – Month: 2025-11 Overview: This month emphasized reliability, observability, and scalable data workflows. Delivered targeted feature work, fixed critical correctness issues, and strengthened the codebase for easier maintenance and future enhancements. The work enables more accurate analyses, clearer reporting, and robust pipelines suitable for production use. Key features delivered: - Euclidean check on sigma fixed to ensure correct numerical computations across analyses (commit 205c0ddc60c1dc3b9db12ad7eaf1903d36a79fdd). - Plotting and logging enhancements: added plot closing, updated plot visuals, and log spectra when nstd != 0 to improve diagnostics (commits 74949212f369e52e5edacb69dbdaa224a06ea741; f47af15a939d736950861cc6a70b57eefb6ab9b2; efec6299cccbaf91bb0b36f2ba3412d8fba05d04). - Data workflow readiness: built HDF5 support and restored DB builder to enable scalable storage and automated pipelines (commits a2aca35065940f437ffc6a6074ec42d957c309a4; 475f25f535ca7ee81e75a9df4bca29b61b080b5c). - Input handling and spectra title improvements: streamlined input handling, base/path management, and added depth metadata to spectra titles for improved traceability (commits ab2e5aac9c88f28fb7140883f6c9f09ee82350c6; 54f6bb450d4041aeeb307f45bbcb74e592c04361; a7b0e27ed169ac792a2f4b365db54fa4142f6d3d). - Visualization/export enhancements: enabled LT curve export and enhanced GMM-related plotting/export strings for clearer reporting (commits c174aa839c5707f11ee517b1789b93e79a26c7eb; 3fbb9051559766bf0e5e4880350db601e41b2986). Major bugs fixed: - Fixed the Euclidean check on sigma to ensure numerical correctness and prevent incorrect downstream results. - Corrected parser logic to properly parse inputs. - Fixed issues in ASA parser and related input handling. - Addressed non-finite value handling to prevent runtime errors during calculations. - Resolved SSA algorithm bug to improve stability of residuals and related metrics. Overall impact and accomplishments: - Increased numerical reliability and correctness, reducing the risk of invalid analyses. - Improved observability and maintainability through better plotting, logging, and metadata, leading to faster issue diagnosis and reporting. - Strengthened data workflows with HDF5 support and a restored DB builder, enabling scalable storage and automated data pipelines. - Streamlined inputs and enhanced spectra metadata, improving user onboarding and traceability for reporting and audits. Technologies/skills demonstrated: - Python scripting and data processing, plotting and visualization enhancements, and robust parsing logic. - HDF5 integration and database tooling for scalable storage and retrieval. - Spectra handling, SSA workflows, and GMM utilities with improved testing coverage. - Code quality improvements including formatting and configuration safety updates. Business value: - More accurate and trustworthy analyses, reduced onboarding time for new users, clearer reporting with enriched metadata, and stronger readiness for production-grade data pipelines.

October 2025 monthly summary for GEMScienceTools/oq-mbtk: Key features delivered include geospatial coordinates support (lon_lat) for datasets/models; major refactor of the save flow, specs, and spectra handling with LT CSV updates; data handling cleanup and serialization improvements; test infrastructure improvements; security hardening by removing insecure pickle usage; and exporter enhancement to support non-weighted Gaussian Mixture Models. Additionally, deprecation warnings and indentation issues were fixed to ensure clean builds, along with general quality improvements. Business impact: enables geospatial analytics, safer data persistence, more reliable tests and builds, and a maintainable codebase for faster future iterations.

September 2025 monthly summary for GEMScienceTools: Delivered critical modeling enhancements and reliability improvements across oq-mbtk and oq-engine, with a focus on business value, test stability and maintainability. Key outcomes include core feature development, bug fixes, documentation improvements, and code quality upgrades that directly impact accuracy, performance, and developer productivity.

Month: 2025-08 Key features delivered: - Numba-accelerated spectra calculations in GEMScienceTools/oq-mbtk to speed up spectra processing. - API refactor: renamed a core function for API consistency and clarity. - Depth handling and title generation improvements: enhanced depth processing and conversion to user-facing titles. - Spectra retrieval and scalar support improvements: implemented spectra retrieval; enabled scalar obs support for all hcomps and in ngawest2. - Parser and input-format improvements: GEM parser improvements; removal of the source ID requirement; rename of esm DB parser for consistency. Major bugs fixed: - Test fixes across the suite, including esm parser tests and URL parser fixes. - Bug fixes for missing start-of-file (SOF) scenarios to avoid crashes and related stability issues; general test fixes and variable-name consistency improvements. Overall impact and accomplishments: - Increased performance (Numba), improved API usability, and more robust data parsing/inputs, delivering faster, more reliable data processing and easier integration for downstream apps and users. Expanded test coverage reduces regression risk and supports future feature work. Technologies/skills demonstrated: - Python performance optimization with Numba, API design and refactor, parser engineering, test-driven development, code cleanup and maintainability enhancements.

In July 2025, the team delivered usability improvements, plotting enhancements, and API expansions across oq-mbtk and oq-engine, while stabilizing the codebase with focused test maintenance and critical fixes. The work emphasizes business value through easier configuration, more robust analyses, and improved data handling.

June 2025 monthly summary for development work across GEMScienceTools/oq-mbtk and gem/oq-engine. Focused on code health, API stability, observability, and model reliability to maximize business value while maintaining a fast cadence of improvements across multiple repositories. Key features delivered: - oq-mbtk: General codebase updates (Batch 2 cleanup); Simplified channel codes; Simplified gem parser; Data Layer and API surface updates; Logging and observability enhancements; Build, CI, and dependency updates. - oq-engine: HazardLib cleanup (unused imports removal); Vs30 warning messaging enhancements for EMME24 model; ParkerEtAl2020 GMPE robustness and validation improvements, including expanded tests and refined input handling. Major bugs fixed / quality improvements: - Corrected and clarified Vs30 related warnings to reduce user confusion and improve guidance. - Strengthened input validation, region and saturation checks, and sigma_mu scaling in GMPE robustness work, preventing erroneous results. - Removed outdated or unused imports in HazardLib to reduce fragility and import-time errors. - Stabilized data layer interactions and API contracts to minimize cross-service integration issues and regressions. - Improved logging, tracing, and observability hooks to accelerate diagnostics and incident response. Overall impact and accomplishments: - Significantly improved code health, maintainability, and stability across two core repos, enabling faster feature delivery with lower risk. - Enhanced model reliability and user trust through robustness improvements and clearer user-facing messaging. - Shorter deployment cycles and better diagnostics driven by CI/build updates and observability improvements. Technologies / skills demonstrated: - Systematic codebase refactoring, API contract stabilization, and data layer design. - Observability, logging, tracing, and diagnostics improvements. - CI/CD optimization, dependency management, and build stability. - Rigorous input validation, edge-case handling, and expanded test coverage for critical models (GMPE).

May 2025 Monthly Summary — gem/oq-engine and GEMScienceTools/oq-mbtk delivered foundational scaffolding, performance optimizations, observability enhancements, and improved documentation across backend and tooling. The month focused on stability, throughput, and developer productivity, with QA improvements and accessibility tweaks to support broader adoption and faster iteration cycles.

April 2025 monthly summary: Delivered cross-repo features and quality improvements across GEMScienceTools/oq-mbtk and gem/oq-engine. For oq-mbtk, Batch 1 general updates were implemented (frontend UI polish, backend API enhancements, data model/storage improvements) along with observability and deployment refinements. In oq-engine, GMPE capabilities were expanded with BA08 site-term distance enhancements (rjb support), EMME24 model enhancements (experimental flag, signature refactor, expanded test coverage), and QA/test data alignment and housekeeping after engine updates (z_sed handling and context clipping).

March 2025 performance snapshot for gem/oq-engine and GEMScienceTools/oq-mbtk. Key deliverables include: 1) USGS Station Data Import and Time Handling for OpenQuake with robust IMT extraction and improved UTC-to-local time handling; 2) Extended ModifiableGMPE to support AvgGMPE configurations and broadened GMPE testing framework; 3) Core performance optimizations in oq-mbtk with caching, reduced redundant computations, and a backend refactor for modularity; 4) Frontend UI Rendering enhancements and UI/UX polishing for faster, more responsive visuals; 5) NZL site bounding box added to the mapping framework and repo hygiene improvements including removal of an outdated docs folder. Business impact includes faster, more reliable data ingestion, flexible seismic modeling with multiple GMPEs, improved performance and reliability, and a cleaner deployment; Technical achievements span Python data pipelines, time zone handling, caching strategies, API design, testing, frontend optimization, and observability.

February 2025 performance snapshot for gem/oq-engine and GEMScienceTools/oq-mbtk. Drove core initialization, testing readiness, reliability fixes, and plotting/mesh enhancements that unlocks faster feature delivery and higher data integrity across seismic hazard modeling workstreams.

January 2025 performance summary for GEMScienceTools focusing on seismic hazard modeling capabilities across oq-mbtk and oq-engine. Delivered robust modeling enhancements, dynamic plotting, and data interoperability improvements; refined input data handling and NZ-specific parameter workflows; and strengthened test coverage. These efforts increase configurability, plotting flexibility, and hazard calculation accuracy, enabling faster, more reliable hazard assessments and better decision support for planning and regulatory needs.

December 2024 monthly summary for GEMScienceTools development: - Delivered core functionality and code quality improvements across oq-mbtk and oq-engine, with a strong emphasis on reliability, performance, and business value. - Implemented Seattle basin class in the engine (oq-engine) with core functionality and accompanying tests, enabling basin-level modeling and more accurate simulations. - Centralized and refactored period spacing logic in oq-mbtk via the _update_period_spacing helper, improving maintainability and the accuracy/dynamics of spectral plot generation. - Added data persistence capabilities (Saving System) to oq-engine, enabling durable workflow state and easier recovery after runs. - Fixed configuration usability and robustness by renaming a demo TOML parameter from basin_z_region to z_basin_region to prevent misconfiguration. - Executed broad codebase updates: performance optimizations, API surface enhancements, and reliability improvements across modules, along with tests improvements and warnings for potential breakages, contributing to a more scalable and maintainable project foundation.

November 2024 performance summary for gem/oq-engine and GEMScienceTools/oq-mbtk. Focused on establishing a solid foundation, stabilizing the test suite, and advancing core domain capabilities in seismic hazard workflows. Delivered foundational scaffolding, a robust testing framework, and meaningful domain work that enables production readiness while improving maintainability and onboarding velocity. Business value delivered includes faster feature delivery, higher reliability in tests and simulations, and clearer documentation for cross-team collaboration.