Search Results for "ram linux"
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Showing 12 open source projects for "ram linux"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Laravel Valet
A more enjoyable local development experience for Mac
Valet is a Laravel development environment for Mac minimalists. No Vagrant, no /etc/hosts file. You can even share your sites publicly using local tunnels. Yeah, we like it too. Laravel Valet configures your Mac to always run Nginx in the background when your machine starts. 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... -
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SDWebImageSwiftUI
SwiftUI Image loading and Animation framework powered by SDWebImage
SDWebImageSwiftUI is a SwiftUI image-loading framework, which is based on SDWebImage. It brings all your favorite features from SDWebImage, like async image loading, memory/disk caching, animated image playback and performances. The framework provide the different View structs, which API match the SwiftUI framework guideline. If you're familiar with Image, you'll find it easy to use WebImage and AnimatedImage. Since SDWebImageSwiftUI is built on top of SDWebImage, it provide both the... -
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Graph Node
Graph Node indexes data from blockchains such as Ethereum
The Graph is an indexing protocol for querying networks like Ethereum and IPFS. Anyone can build and publish open APIs, called subgraphs, making data easily accessible. Subgraphs can be composed into a global graph of all the world's public information. This data can be transformed, organized, and shared across applications for anyone to query with just a few keystrokes. Before The Graph, teams had to develop and operate proprietary indexing servers. This required significant engineering and... -
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Netty-socketio
Socket.IO server implemented on Java
This project is an open-source Java implementation of Socket.IO server. Based on Netty server framework. Supports 0.7...0.9.16 (netty-socketio 1.6.6) and 1.0+ (netty-socketio latest version) version of Socket.IO-client. Supports distributed broadcast across netty-socketio nodes (Redisson, Hazelcast). Supports OSGi, supports Spring, lock-free and thread-safe implementation, and declarative handler configuration via annotations. YourKit is kindly supporting this open source project with its... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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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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Cutelyst
Web Framework built on top of Qt, using the approach of Catalyst
...Running standalone or behind a web server is really easy. With your application logic written in C++ your application get's really small, a full CMS (like this one) uses around 5MB of RAM which can be shared with other instances of the same application. -
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Volatility
An advanced memory forensics framework
Volatility is a widely used open-source framework for analyzing memory captures (RAM dumps) from Windows, Linux, and macOS systems. It enables investigators and malware analysts to extract process lists, network connections, DLLs, strings, artifacts, and more. Volatility supports many plugins for detecting hidden processes, malware, rootkits, and event tracing. It’s essential in digital forensics and incident response workflows. -
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Acorn
A simple application deployment framework built on Kubernetes
Acorn is an app platform that makes it easy to build, share, and run containerized applications. Acorn provides a comprehensive way to describe your application and dependencies in a single file called an Acornfile. The Acornfile is built and packaged up into a single artifact that contains everything needed to deploy your application and can be shared with a link that will allow it's recipients to have a one-click deployment into a sandbox environment. Acorn Sandboxes are free compute... -
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LuatOS
Powerful embedded Lua Engine for IoT devices, with many components
Powerful embedded Lua Engine for IoT devices, with many components and low memory requirements (16K RAM, 128K Flash). -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Rekall
Rekall Memory Forensic Framework
Rekall is a powerful memory forensics framework that turns raw RAM captures—or live system state—into structured artifacts investigators can query and script. It ships with a large collection of plugins that parse OS internals to recover processes, modules, sockets, registry hives, and file objects, even when rootkits try to hide them. The design emphasizes repeatability: investigators run well-defined analyses that produce timelines, indicators, and reports suitable for case work or... -
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DHT
BitTorrent DHT Protocol && DHT Spider.
DHT implements the bittorrent DHT protocol in Go. It contains two modes, the standard mode, and the crawling mode. The standard mode follows the BEPs, and you can use it as a standard dht server. The crawling mode aims to crawl as much metadata info as possible. It doesn't follow the standard BEPs protocol. With the crawling mode, you can build another BTDigg. The default crawl mode configuration costs about 300M RAM. Set MaxNodes and BlackListMaxSize to fit yourself. DHT aims to implement... -
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Toolsverse ETL Framework
Open source Extract Transform Load engine written in Java
ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements *...
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