* [Partytown v0.14.0](https://github.com/QwikDev/partytown) – Library for relocating resource-intensive third-party scripts to web workers, improving main thread performance.

* [Kube-burner v2.7.0](https://github.com/kube-burner/kube-burner) – Kubernetes performance and scale test orchestration toolset with resource management, metrics collection, and alerting.

* [parquet-go/parquet-go v0.30.0](https://github.com/parquet-go/parquet-go) – High-performance Go library for reading and writing Parquet files with low compute and memory footprint.

* [Grafana Pyroscope v2.0.2](https://github.com/grafana/pyroscope) – Continuous profiling platform that provides insights into application performance and resource usage.

* [IBM Instana Go Tracer instrumentation/inst...](https://github.com/instana/go-sensor) – SDK for collecting traces, metrics, logs and profiling from Go applications.

* [Arc v26.06.1](https://github.com/Basekick-Labs/arc) – High-performance DuckDB-based time-series database for Industrial IoT with fast ingestion, sub-second queries, and Parquet storage.

* [@humanspeak/svelte-virtual-list v0.5.0](https://github.com/humanspeak/svelte-virtual-list) – High-performance virtual list component for Svelte 5 that efficiently renders large, dynamic-height scrollable datasets with low memory usage.

* [piscina v6.0.0-rc.0](https://github.com/piscinajs/piscina) – Fast and efficient Node.js worker thread pool implementation.

* [Harper v5.0.19](https://github.com/HarperFast/harper) – Node.js unified in-memory platform combining database, cache, application logic, and messaging for microsecond-level performance.

* [Bootsnap v1.24.4](https://github.com/rails/bootsnap) – Library that optimizes and caches expensive Ruby computations to reduce boot time.

* [Ruby PG Extras v5.6.18](https://github.com/pawurb/ruby-pg-extras) – Insights into PostgreSQL database performance for Ruby applications.

* [pgdbtemplate v1.0.4](https://github.com/andrei-polukhin/pgdbtemplate) – Go library creating PostgreSQL test databases from templates for lightning-fast test execution.

* [Prof v1.8.2](https://github.com/AlexsanderHamir/prof) – Go benchmark profiling utility that automates pprof collection, organizes outputs, and compares runs.

* [react-native-runtimes @react-native-runtim...](https://github.com/margelo/react-native-runtimes) – Run heavy React Native UI and business logic in isolated Hermes runtimes without freezing the main JS thread.