Search Results for "cpu memory usage"
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Showing 953 open source projects for "cpu memory usage"
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tmux-mem-cpu-load
CPU, RAM, and load monitor for use with tmux
tmux-mem-cpu-load is a lightweight system monitoring utility designed for the tmux status line. It gives terminal users a compact way to view memory usage, CPU usage, and system load without opening a separate monitoring program. The tool is especially useful for developers, server administrators, and power users who spend long sessions inside tmux. -
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TrafficMonitor
Floating window used to display current network speed, CPU & memory
TrafficMonitor is a network monitoring software with floating window feature for Windows. It displays the current internet speed and CPU and RAM usage. There are also other capabilities like an embedded display in the taskbar, changeable display skins, and historical traffic statistics. There are two versions of TrafficMonitor, the standard version and the Lite version. The standard version includes all the functions, while the Lite version does not include hardware monitoring functions such as temperature monitoring, GPU usage, and hard disk usage. ... -
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CPU Features
A cross platform C99 library to get cpu features at runtime
...Implemented in portable C99, it is thread-safe, has no memory allocations, and raises no exceptions, making it suitable even for use in low-level system libraries. The design emphasizes portability, extensibility, and compatibility with sandboxed or restricted environments where direct CPU access may be limited. -
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dockprom
Docker hosts and containers monitoring with Prometheus, Grafana, etc.
...You can change the credentials in the compose file or by supplying the ADMIN_USER and ADMIN_PASSWORD environment variables on compose up. Grafana is preconfigured with dashboards and Prometheus as the default data source. The Docker Host Dashboard shows key metrics for monitoring the resource usage of your server. Server uptime, CPU idle percent, number of CPU cores, available memory, swap and storage. System load average graph, running and blocked by IO processes graph, interrupts graph. CPU usage graph by mode (guest, idle, iowait, irq, nice, softirq, steal, system, user). Memory usage graph by distribution (used, free, buffers, cached). ... -
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FastSD CPU
Fast stable diffusion on CPU and AI PC
...The repository contains multiple interfaces including a desktop GUI for simple generation, an advanced web-based UI with support for extensions like LoRA and ControlNet, and a command-line interface for scripted usage or server deployments. With support for performance-oriented libraries such as OpenVINO and hardware acceleration on platforms like Intel AI PCs, FastSD CPU aims to shrink generation times dramatically compared with naive CPU implementations. -
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Windows Memory Cleaner (WMC)
Free RAM cleaner uses native Windows features to optimize memory areas
...The application can automatically clean memory based on time intervals or when available RAM drops below a defined threshold. It also supports both GUI usage and command-line automation, making it suitable for everyday users and advanced workflows alike. Overall, WinMemoryCleaner focuses on improving system responsiveness and performance, especially on machines with limited memory resources. -
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OSHI
Native Operating System and Hardware Information
...It does not require the installation of any additional native libraries and aims to provide a cross-platform implementation to retrieve system information, such as OS version, processes, memory and CPU usage, disks and partitions, devices, sensors, etc. -
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Pingora
A library for building fast, reliable and evolvable network services
Pingora is a Rust-based high-performance HTTP proxy and networking framework developed by Cloudflare to eventually replace NGINX. Designed for extreme reliability and memory-safe concurrency, it handles over 40 million requests per second in production and reduces CPU/memory usage significantly compared to traditional web servers. -
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beszel
Lightweight server monitoring hub with historical data, docker stats
A lightweight server resource monitoring hub with historical data, docker stats, and alerts. -
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Zenith
Sort of like top or htop but with zoom-able charts, CPU, GPU
In terminal graphical metrics for your *nix system written in Rust. The make file provides for building fully static versions on Linux against the musl C library. It requires musl-gcc to be installed on the system. Install "musl-tools" package on debian/ubuntu derivatives, "musl-gcc" on fedora and equivalent on other distributions from their standard repos. If one needs to build with NVIDIA support in a virtual environment, then it requires some more setup since typically the VM software is... -
11
CTranslate2
Fast inference engine for Transformer models
...The project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc., to accelerate and reduce the memory usage of Transformer models on CPU and GPU. The execution is significantly faster and requires less resources than general-purpose deep learning frameworks on supported models and tasks thanks to many advanced optimizations: layer fusion, padding removal, batch reordering, in-place operations, caching mechanism, etc. The model serialization and computation support weights with reduced precision: 16-bit floating points (FP16), 16-bit integers (INT16), and 8-bit integers (INT8). ... -
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TencentDB Agent Memory
TencentDB Agent Memory delivers fully local long-term memory for AI
...The design keeps high-level memory inspectable while preserving a drill-down path back to raw evidence. It is built for OpenClaw and Hermes-style agent workflows that need lower token usage, better continuity, and no external API dependency. -
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parca
Continuous profiling for analysis of CPU and memory usage
Continuous profiling for analysis of CPU, memory usage over time, and down-to-the-line number. Saving infrastructure costs, improving performance, and increasing reliability. A single profiler, using eBPF, automatically discovers targets from Kubernetes or systemd across the entire infrastructure with very low overhead. Supports C, C++, Rust, Go, and more. Both producing pprof formatted profiles with the eBPF-based profiler and ingesting any pprof formatted profiles allowing for wide language adoption and interoperability with existing tooling. ... -
14
jetson-stats
Simple package for monitoring and control your NVIDIA Jetson
...It supports Jetson platforms such as Orin, Xavier, Nano, TX, and newer Jetson families. The project includes jtop, a terminal-based dashboard that gives users a live view of CPU, GPU, memory, power, temperature, engine usage, and system status. It can also be imported into Python scripts, which makes it useful for custom monitoring, robotics dashboards, automation, and diagnostics. Developers working with embedded AI systems can use it to understand performance limits and troubleshoot hardware behavior during deployment. ... -
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CPU-Z
Utility for detailed CPU and system hardware information.
CPU-Z for Windows® x86/x64 is a freeware that gathers information on some of the main devices of your system : Processor name and number, codename, process, package, cache levels. Mainboard and chipset. Memory type, size, timings, and module specifications (SPD). Real time measurement of each core's internal frequency, memory frequency. -
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auto-cpufreq
Automatic CPU speed & power optimizer for Linux
Automatic CPU speed & power optimizer for Linux. Actively monitors laptop battery state, CPU usage, CPU temperature, and system load, ultimately allowing you to improve battery life without making any compromises. -
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MSA: Memory Sparse Attention
Trainable latent-memory framework for 100M-token contexts
MSA, or Memory Sparse Attention, is a research framework for scaling language-model memory to extremely long contexts. It replaces full attention over all tokens with sparse selection of compressed latent memory states. Document-wise rotary position encoding and top-k routing keep training and inference close to linear complexity. A tiered KV-cache design stores routing keys on GPU while larger content states can remain on CPU. -
18
Scalene
High-performance CPU, GPU, and memory profiler for Python
Scalene is a high-performance CPU, GPU and memory profiler for Python that does a number of things that other Python profilers do not and cannot do. It runs orders of magnitude faster than other profilers while delivering far more detailed information. Once Scalene has profiled your program, it will launch a web browser with an interactive user interface (all processing is done locally). -
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NeoHtop
Blazing-fast system monitoring for your desktop
NeoHtop is a modern, high-performance system monitoring application that reimagines the classic htop experience using contemporary technologies such as Rust, Tauri, and Svelte. It provides real-time visibility into running processes, CPU load, and memory usage through a visually polished desktop interface designed for speed and clarity. Unlike traditional terminal monitors, neohtop emphasizes usability with advanced search capabilities, process pinning, and dynamic sorting, allowing users to quickly identify resource-intensive workloads. The application supports dark and light themes and auto-refreshes system statistics to maintain an always-current operational view. ... -
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TaskExplorer
Powerful system task manager
...It includes advanced panels: a Thread Panel with stack traces (helpful for diagnosing deadlocks or hangs), a Memory Panel that lets you view or even edit process memory (with search capabilities), a Socket Panel showing open network connections, data rates, pseudo-UDP connections (via ETW), and a Modules Panel listing all loaded DLLs and memory-mapped files. -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples.... -
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CPUAlert
High / Low CPU & MEMORY usage alerts by Email / Teams / Telegram
Simple and powerful CPU & MEMORY monitoring tool for Windows and Linux. Detect both HIGH and LOW usage, avoid repeated alert spam, and identify the TOP1-TOP5 process causing the issue. Alert only when usage continuously exceeds the threshold and back to normal. It monitors CPU and RAM usage and sends Email, Microsoft Teams, and Telegram alert notifications when usage remains above or below configured thresholds. -
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PowerInfer
High-speed Large Language Model Serving for Local Deployment
PowerInfer is a high-performance inference engine designed to run large language models efficiently on personal computers equipped with consumer-grade GPUs. The project focuses on improving the performance of local AI inference by optimizing how neural network computations are distributed between CPU and GPU resources. Its architecture exploits the observation that only a subset of neurons in large models are frequently activated, allowing the system to preload frequently used neurons into GPU memory while processing less common activations on the CPU. This hybrid execution strategy significantly reduces memory bottlenecks and improves overall inference speed. ... -
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MCP Monitor
A system monitoring tool that exposes system metrics
The MCP System Monitor is a tool that exposes system metrics via the Model Context Protocol (MCP), allowing Large Language Models (LLMs) to retrieve real-time system information through an MCP-compatible interface. -
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dashdot
A simple, modern server dashboard
dashdot is a modern server dashboard primarily used by smaller private servers, offering real-time monitoring of system metrics through a sleek and customizable web interface.
