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The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the...

MSI Kombustor is a dedicated GPU stress-testing and benchmarking tool built on top of the popular FurMark engine. It is designed to push graphics cards to their thermal and stability limits, helping users verify cooling performance and overclocking reliability. With support for advanced 3D APIs like OpenGL and Vulkan, Kombustor can generate demanding rendering workloads that simulate real-world GPU pressure. The tool provides MSI users with an exclusive, streamlined interface for testing...

wrk is a modern, command-line HTTP benchmarking tool engineered for high performance, capable of generating substantial load using a single multi-core CPU by leveraging multithreading and scalable event notification systems. An optional LuaJIT script can perform HTTP request generation, response processing, and custom reporting. Details are available in SCRIPTING and several examples are located in scripts. The machine running wrk must have a sufficient number of ephemeral ports available...

ViennaCLBench provides a graphical user interface for collecting benchmark data for common OpenCL-accelerated linear algebra operations as implemented in the linear algebra library ViennaCL.

Big-Brother is a collection of J2EE filters and servlets that provide custom monitoring and auditing of web-applications, keeping track of who does what, when, and how often. It makes use of the jakarta-apache Struts framework for the interface GUI.

vtad is a rule-based performance monitoring system for Linux. Intended for servers, vtad monitors your system's performance and makes recommendations for tuning. Custom rulesets can be written for a wide variety of applications.