February 2026: Key features delivered and reliability improvements across rerun. Implemented Enhanced JWT Security with Multi-Org CLI support, added Large File Storage (LFS) handling for .mcap files, improved User Logout flow with session cleanup and redirects, and expanded CI/QA with Cloud E2E testing and GCS URL UX improvements. These efforts reduce token misuse risk, enable multi-org deployments, improve handling of large assets, and strengthen end-to-end testing, contributing to secure, scalable, and user-friendly operations.

January 2026 performance snapshot for rerun repo focusing on developer experience, build stability, and PR workflow improvements. Delivered developer-facing docs enhancements, a robust uv-based Python build/test environment, and stronger PR synchronization with reality-sync. Also introduced dataset API improvements, a monorepo rename, and improved diagnostics with orphaned recordings tracking, along with cleanup and CI resilience efforts.

December 2025 focused on delivering user-centric UX improvements, enabling a unified, automated build workflow across repositories, and strengthening lifecycle management for recordings. Key outcomes include a smoother authentication experience in clean notebook environments, cross-repo synchronization for a cohesive build system, and proactive disconnection of orphaned recordings to improve memory usage and data integrity. These efforts contributed to better user experience, reduced operational friction, and a more reliable, scalable CI/CD process.

November 2025 performance summary for rerun repo focused on reliability, usability, and data-management enhancements across Authentication, Table API, and Dataset API. Delivered concrete fixes and improvements that reduce operational risk, accelerate developer workflows, and enable more efficient data querying.

October 2025: Delivered key API enhancements for the CreateIndex flow in rerun, focusing on observability, performance, and API evolution to support incremental indexing. Implemented DebugInfo exposure in CreateIndexResponse (memory_used) and introduced target_partition_num_rows to replace deprecated num_partitions, enabling more predictable performance for incremental workloads. Exposed debug_info() to Python as a dict and integrated the IndexingResult in create_vector_index. These changes improve debugging, monitoring, and adoption for large datasets. No major bugs fixed this month; effort centered on feature delivery, API stability, and performance tuning with a clear business value.

2025-08 Monthly Summary for rerun repository highlighting key features delivered, bugs fixed, and overall impact. Focused on business value and technical achievements with emphasis on data accuracy, query performance, and user experience.

July 2025 highlights for the rerun project focused on stabilizing the streaming pipeline, improving query correctness, and expanding API/catalog capabilities. Core work delivered includes Python API enhancements for batch control and entry management, groundwork for catalog updates via Protobuf, and stability fixes that restore reliable streaming behavior and deterministic cleanup. These changes improve reliability, observability, and automation for downstream teams while laying the foundation for future catalog operations.

Summary for 2025-06: Focused on expanding benchmarking capabilities and improving code quality in rerun. Delivered a new API endpoint to fetch chunk IDs for queries, enabling precise performance benchmarking of chunk fetching and supporting data-driven optimization. Updated Rust linting to edition 2024 to align with current language standards and improve CI checks. These changes strengthen maintainability and set the stage for future performance improvements.

April 2025 summary for rerun-io/rerun focused on delivering data discovery enhancements, notebook integration, and reliability improvements. Key deliverables include DataFusion-powered cross-partition querying, a notebook-embedded viewer blueprint API, and a fixed asset URL for notebooks, aligning with business value of faster analytics, streamlined user workflows, and reliable asset delivery.

In 2025-03, delivered core capabilities for schema-driven data access via gRPC and hardened the project’s build/tooling to improve cross-platform reliability. The work enhances data discovery, reduces integration effort for downstream analytics, and improves CI stability across platforms.

Feb 2025 monthly summary for rerun-io/rerun: Delivered core API improvements and notebook capabilities, fixed critical data handling bugs, and enhanced developer tooling to improve productivity and compatibility with modern tooling ecosystems. The month focused on delivering clear business value: more reliable data indexing/search semantics, richer notebook analytics with multi-recordings, robust data loading integrity, and smoother developer experience across VS Code and NumPy environments.

Month: 2025-01 — concise monthly summary focusing on key accomplishments, business value, and technical achievements for emilk/rerun.

December 2024 monthly summary for emilk/rerun focused on delivering cross-browser stability, expanded API capabilities, improved data ingestion, and build optimization. Highlights include fixing Firefox WASM payload loading, enriching remote APIs with table metadata and server-side query execution, introducing a new dataframe ingestion API with improved documentation, enabling remote features in PyPI wheels for release/nightly builds, and targeted code quality/typing improvements.

November 2024 monthly summary for emilk/rerun focused on delivering remote management capabilities, stabilizing the Python SDK, and improving packaging and distribution. Key outcomes include enabling remote interaction with Rerun storage nodes via a Python gRPC-based API (list_recordings, register_recordings, update_metadata), fixing a serve API routing issue in the Python SDK, and introducing Python wheel builds with extras and multi-platform CI support for easier deployment and feature composition. These efforts reduce operational overhead, improve automation and data governance, and broaden adoption through simpler installation across platforms.

October 2024 monthly summary for emilk/rerun: Delivered core features to enhance reliability, data access, and developer experience across the Rerun platform. Key outcomes include CI reliability improvements, a new gRPC fetch path for full recordings, updated Python compatibility to modern versions, and a new gRPC-backed rrdp data source. These efforts reduce build/test flakiness, broaden client support, and enable efficient cross-node recording retrieval, delivering measurable business value.