2026-01 Monthly Summary for lab-cosmo/pet-mad: Focused on documentation quality and benchmarking transparency to drive faster onboarding, reproducibility, and deployment decisions. Major bugs fixed: none reported this month. Key outcomes: (1) Comprehensive Documentation Enhancements for Benchmarks and References—PET citation added in README; SPICE benchmark reference included; SPEED.md clarified model performance and memory usage. (2) Expanded speed benchmarks with visual comparisons and trade-offs to support design choices. (3) Improved traceability and artifact clarity through targeted commits. Business value: reduced onboarding time, improved reproducibility, and better resource planning for deployments. Technologies/skills demonstrated: Markdown documentation, benchmark visualization, citation practices, and robust commit-based traceability.

October 2025 Monthly Summary for metatensor/metatrain focused on documentation SEO enhancements and lean delivery footprint. Implemented automatic sitemap generation for the docs and added a robots.txt file to improve search engine indexing, discoverability, and onboarding efficiency. Changes are isolated to the documentation pipeline and have clear business impact in terms of improved visibility and reduced manual maintenance. Commit 5dd7b6c256da2040678ecaabfc22f9ad8ddbcf3c encapsulates the changes.

May 2025 monthly summary for lab-cosmo/atomistic-cookbook: Delivered comprehensive FlashMD and PET-MAD usage demonstrations, including new and updated examples, tutorial assets, data files for molecular dynamics simulations, and environment configuration to enable reproducible end-to-end workflows under the FlashMD universal direct MD scheme. This work improves user onboarding, showcases practical MD scenarios, and lays the groundwork for broader adoption.

In April 2025, delivered a targeted environment configuration enhancement for the Pet-MAD example within lab-cosmo/atomistic-cookbook. The update pins python-metatensor-torch and refreshes the benchmark data URL to ensure the Pet-MAD workflow runs with correct dependencies and data. A single commit (f8f9110a00ff16cbf1e30f182427456b5816ac94) applied the environment changes and improved reproducibility for demonstrations and testing.

February 2025: Delivered the TensorMap Global Metadata API for metatensor, enabling users to store, retrieve, and list global metadata for TensorMap objects. This included new C and C++ API functions and updates to serialization and documentation to support the metadata features. The work lays groundwork for metadata-driven workflows and improved data governance across tensor maps.

October 2024 monthly summary for lab-cosmo/atomistic-cookbook focused on improving contributor experience and documentation quality. This month, no core feature development or code changes were committed; the primary outcome was enhanced onboarding and installation documentation, which reduces setup friction for new contributors and speeds PR review cycles. The work aligns with strategic goals of growing the developer community and improving project maintainability through clearer guidance and better docs.