Search Results for "framework-3-offline"

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.

...The application shows real-time CPU usage, memory (RAM) usage, and disk space information in a simple and clean interface. Unlike heavy monitoring software, Echo System Info Viewer is designed to be extremely fast, minimal, and fully offline. Key benefits: Instant system overview Real-time CPU and RAM usage Disk space information Lightweight and portable No telemetry, no ads Works completely offline Typical use cases: Quickly check CPU and RAM usage View basic system information on Windows Monitor system performance on older computers Lightweight alternative to heavy monitoring tools

Assorted projects. General-purpose libraries for Python, C++, Scala, bash, and others. Meta-programming tools. System utilities. UI components. Web APIs. Configuration files. Benchmarks. Programming competition entries. And much more.

This is a software tool that automates the process of benchmarking high performance computer clusters by auto analyzing the hardware of the cluster and configuring and compiling specialized benchmarks (HPC Challenge, IOzone, Netperf)

Sysglance profiles the linux computer, providing the user withan at-a-glance snapshot of the computer. The program is Python based and currently relies on the dmidecode utility to collect the majority of it's information.

fwgraph is an attempt to characterize and present network traffic including network devices, QoS, and iptables under Linux.

GL O.B.S. is based around a PyGTK interface that launches OpenGL programs feeding them with a common CLI options set which will affect their behaviour, then receives back their statistical output. Benchmarks are easy to create and add.

Framework that includes tools to run performance tests on machines.