Open Benchmarking is a miscellaneous web resource for discovery, directories, archives, web culture, or useful tools.
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Curated list of free and open-source MySQL software, libraries, tools and resources. The README organizes entries into categories such as Analysis, Backup, Benchmarking, Binlog Replication, Connectors, GUI and Replication, and the list accepts and encourages pull requests.
Gym4ReaL is an open-source GitHub repository maintained by Daveonwave. It is a Gymnasium-based benchmarking suite for testing reinforcement learning algorithms on real-world scenarios. The repository includes documentation on supported characteristics, reinforcement learning paradigms, folder structure, contribution guidelines, and licensing terms.
The Institute of Museum and Library Services provides a data page with tools and reports for exploring library and museum data. It includes Library Search & Compare for individual library data and ten-year trends, an indicators workbook on economic status and broadband, a state funding report compilation, a state comparison tool, public library benchmarking tables, and administrative discretionary grant data.
MSI Kombustor is MSI's exclusive burn-in benchmarking tool based on the FurMark software. It is designed to push a graphics card to its limits to test stability and thermal performance. The tool supports 3D APIs such as OpenGL or Vulkan.
nanoBench is a Linux-based tool for running small microbenchmarks on recent Intel and AMD x86 CPUs, evaluated with hardware performance counters. It offers a user-space variant and a kernel module; the kernel module permits benchmarking privileged instructions and using uncore counters, but should not be used on a production system.
PC-Optimization-Hub is a GitHub repository collecting various resources devoted to performance and input lag optimization. It covers topics including benchmarking, debloat, DPC latency, frame times, polling rates and Windows optimization, and includes sections on data collection and physical setup.
PocketPal AI is an open-source app for running language models directly on a device, available on iOS and Android. It supports GGUF models from Hugging Face, on-device processing, device benchmarking, conversation history and adjustable inference settings.
StudyForrest is a dataset collection built around the movie Forrest Gump, providing reproducible complex sensory input for brain research. It includes fMRI scans, structural brain scans, eye-tracking data and extensive annotations of the movie. The project offers reference datasets for benchmarking brain imaging algorithms and for studying cognition under natural stimulation.