Search Results for "ram speed benchmark"
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Showing 53 open source projects for "ram speed benchmark"
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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CrystalDiskMark
A simple disk benchmark software
A simple disk benchmark software. -
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Mailspring
A faster, leaner email client and fork of Nylas Mail
...It’s maintained by one of Nylas Mail’s original authors, with plenty of great features and enhancements such as a new C++ sync engine that allows it to use 50% less RAM. Heavy dependencies have also been removed and the package manager rewritten for even greater speed. Written in TypeScript with Electron and React, it is cross-platform (macOS, Windows and Linux) and designed to be easy to extend. -
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Valet Linux
A fork of Laravel Valet to work in Linux.
...Then, using DnsMasq, Valet proxies all requests on the *.test domain to point to sites installed on your local machine. In other words, a blazing-fast Laravel development environment that uses roughly 7MB of RAM. Valet Linux isn't a complete replacement for Vagrant or Homestead but provides a great alternative if you want flexible basics, prefer extreme speed, or are working on a machine with a limited amount of RAM. -
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Mitata
benchmark tooling that loves you
A high-performance JavaScript benchmarking tool designed for fast and accurate performance testing. -
Turn more customers into advocates.The platform's advanced capabilities ensure companies get the most out of their referral programs. Leverage custom events, profiles, and attributes to enable dynamic, audience-specific referral experiences. Use first-party data to tailor customer segment messaging, rewards, and engagement strategies. Use our flexible APIs to build management capabilities and consumer experiences–headlessly or hybrid. We have all the tools you need to build scalable, secure, and high-performing referral programs.
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JMH Gradle Plugin
Integrates the JMH benchmarking framework with Gradle
...The plugin is especially useful in projects where regression in execution speed or memory use must be carefully monitored. -
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Pfl Research
Simulation framework for accelerating research
A fast, modular Python framework released by Apple for privacy-preserving federated learning (PFL) simulation. Integrates with TensorFlow, PyTorch, and classical ML, and offers high-speed distributed simulation (7–72× faster than alternatives). -
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Laravel Valet
A more enjoyable local development experience for Mac
...Then, using DnsMasq, Valet proxies all requests on the *.test domain to point to sites installed on your local machine. In other words, a blazing-fast Laravel development environment that uses roughly 7 MB of RAM. Valet isn't a complete replacement for Vagrant or Homestead, but provides a great alternative if you want flexible basics, prefer extreme speed, or are working on a machine with a limited amount of RAM. -
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Lenovo Legion Linux Support
Driver and tools for controlling Lenovo Legion laptops in Linux
Lenovo Legion Linux (LLL) brings additional drivers and tools for Lenovo Legion series laptops to Linux. It is the alternative to Lenovo Vantage or Legion Zone (both Windows only). It allows you to control features like the fan curve, power mode, power limits, rapid charging, and more. This has been achieved through reverse engineering and disassembling the ACPI firmware, as well as the firmware and memory of the embedded controller (EC). -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive... -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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TextDistance
Compute distance between sequences
Python library for comparing the distance between two or more sequences by many algorithms. For main algorithms, text distance try to call known external libraries (fastest first) if available (installed in your system) and possible (this implementation can compare this type of sequences). Install text distance with extras for this feature. Textdistance use benchmark results for algorithm optimization and try to call the fastest external lib first (if possible). TextDistance show benchmarks... -
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ChatGLM2-6B
ChatGLM2-6B: An Open Bilingual Chat LLM
ChatGLM2-6B is the second-gen Chinese-English conversational LLM from ZhipuAI/Tsinghua. It upgrades the base model with GLM’s hybrid pretraining objective, 1.4 TB bilingual data, and preference alignment—delivering big gains on MMLU, CEval, GSM8K, and BBH. The context window extends up to 32K (FlashAttention), and Multi-Query Attention improves speed and memory use. The repo includes Python APIs, CLI & web demos, OpenAI-style/FASTAPI servers, and quantized checkpoints for lightweight local... -
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Tarantool
Get your data in RAM, get compute close to data, enjoy the performance
In OLTP scenarios, Tarantool can be used instead of relational databases. Such a solution will work many times faster. With Tarantool, you can replace the traditional bundle of database & cache and reduce operational costs. Tarantool is tolerant of write-heavy loads. It also allows keeping full-featured applications close to the data, thus reducing data access network latency to zero. The open-source Community Edition lets you develop applications and speed up a system in operation. It... -
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spp
A simple and powerful proxy
Supported protocol: TCP, UDP, RUDP (Reliable UDP), RICMP (Reliable ICMP), RHTTP (Reliable HTTP), KCP, Quic. Support type: forward proxy, reverse agent, SOCKS5 forward agent, SOCKS5 reverse agent. Agreement and type can be freely combined. External agent agreement and internal forwarding protocols can freely combine. Support Shadowsocks plug-in, spp-shadowsocks-plugin, spp-shadowsocks-plugin-android. -
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Static Web Server
A cross-platform, high-performance and asynchronous web server
Static Web Server (or SWS abbreviated) is a tiny and fast production-ready web server suitable to serve static web files or assets. It is focused on lightness and easy-to-use principles while keeping high performance and safety powered by The Rust Programming Language. Written on top of Hyper and Tokio runtime, it provides concurrent and asynchronous networking abilities and the latest HTTP/1 - HTTP/2 implementations. Cross-platform and available for Linux, macOS, Windows, FreeBSD, NetBSD,... -
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StructuralEquationModels.jl
A fast and flexible Structural Equation Modelling Framework
This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. For those, you can decide to provide analytical gradients or use finite difference approximation /... -
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Datasets
Hub of ready-to-use datasets for ML models
...Load a dataset in a single line of code, and use our powerful data processing methods to quickly get your dataset ready for training in a deep learning model. Backed by the Apache Arrow format, process large datasets with zero-copy reads without any memory constraints for optimal speed and efficiency. We also feature a deep integration with the Hugging Face Hub, allowing you to easily load and share a dataset with the wider NLP community. There are currently over 2658 datasets, and more than 34 metrics available. Datasets naturally frees the user from RAM memory limitation, all datasets are memory-mapped using an efficient zero-serialization cost backend (Apache Arrow). ... -
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SAM 2
The repository provides code for running inference with SAM 2
SAM2 is a next-generation version of the Segment Anything Model (SAM), designed to improve performance, generalization, and efficiency in promptable image segmentation tasks. It retains the core promptable interface—accepting points, boxes, or masks—but incorporates architectural and training enhancements to produce higher-fidelity masks, better boundary adherence, and robustness to complex scenes. The updated model is optimized for faster inference and lower memory use, enabling real-time... -
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htmly
Simple and fast databaseless PHP blogging platform, and Flat-File CMS
HTMLy is an open source databaseless PHP blogging platform. A flat-file CMS that allows you to create a fast, secure, and powerful website or blog in seconds. HTMLy uses a unique algorithm to find or list any content based on date, type, category, tag, or author, and it's performance remains fast even if we have tens of thousands of posts and hundreds of tags. As a flat-file CMS, HTMLy is designed to run smoothly despite using minimal server specs. With 512MB of RAM or even in shared... -
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GoNB
GoNB, a Go Notebook Kernel for Jupyter
Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it... -
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Fiber
Express inspired web framework written in Go
An Express-inspired web framework written in Go. Fiber is a Go web framework built on top of Fasthttp, the fastest HTTP engine for Go. It's designed to ease things up for fast development with zero memory allocation and performance in mind. Setting up routes for your application has never been so easy! The Express-like route definitions are easy to understand and work with. Serve your static HTML, CSS, and JavaScript files with ease by defining static routes. You can also serve the contents... -
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The System Load Tracker is a lightweight WPF application that monitors key system performance indicators in real-time. It includes CPU, GPU, VRAM, and RAM usage, as well as temperature readings. Designed for ease of use, it lets users monitor their computer's performance easily. Visit the project on Github: https://github.com/Schuischta/SystemLoadTracker
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🌿 XXRI OS Lite – Lightweight, Fast, and Minimal XXRI OS Lite is the most lightweight edition of the xxri OS series, designed for low-spec machines, older hardware, or users who prefer a clean and ultra-efficient system. it includes only essential components to deliver speed, simplicity, and stability — without unnecessary bloat. ⚡ Key Features: • Super lightweight ISO (263MB) • Fast boot and low memory footprint • Clean, minimal user interface • Pre-installed basic tools: file manager, text editor, terminal, and more • Perfect for reviving old PCs or running in lightweight virtual environments 🖥️ Minimum System Requirements: • CPU: Intel Pentium II / AMD K6-2 or newer (32-bit) • RAM: 256 MB minimum • Storage: 400 MB free disk space Website: xxri.rf.gd Maintained by: xxri OS Team
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LinuxMint 22.3 XFCE RU/EN
Linux Mint 22.3 "Zara" XFCE (RU/EN) by KDE_MintyFlow
Custom build of Linux Mint 22.3 "Zara" featuring lightweight XFCE desktop environments. Optimized for performance and stability. Includes Russian and English languages out of the box. Pre-installed essential software and codecs. Perfect for low-end hardware and older PCs. Fast, clean, and ready to use. Авторская сборка Linux Mint 22.3 "Zara" с легкими рабочими окружениями XFCE . Оптимизирована для скорости и стабильности. Полная поддержка русского и... -
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LinuxMint 22.2 LXQt RU/EN
Linux Mint 22.2 "Zara" LXQt (RU/EN) by KDE_MintyFlow
Custom build of Linux Mint 22.2 "Zara" featuring lightweight LXQt desktop environments. Optimized for performance and stability. Includes Russian and English languages out of the box. Pre-installed essential software and codecs. Perfect for low-end hardware and older PCs. Fast, clean, and ready to use. Авторская сборка Linux Mint 22.2 "Zara" с легкими рабочими окружениями LXQt . Оптимизирована для скорости и стабильности. Полная поддержка русского и...
