Open Source Linux Runtimes
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Runtimes for Linux
View 1340 business solutionsBrowse free open source Runtimes and projects for Linux below. Use the toggles on the left to filter open source Runtimes by OS, license, language, programming language, and project status.
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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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Steel Bank Common Lisp
Common Lisp compiler and runtime
A high performance Common Lisp compiler. In addition to standard ANSI Common Lisp, it provides an interactive environment including an a debugger, a statistical profiler, a code coverage tool, and many other extensions. -
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RARS
RISC-V Assembler and Runtime Simulator
RARS, the RISC-V Assembler, Simulator, and Runtime, will assemble and simulate the execution of RISC-V assembly language programs. Its primary goal is to be an effective development environment for people getting started with RISC-V. -
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Deno
A secure runtime for JavaScript and TypeScript
Deno is a secure by default, open source runtime for JavaScript and TypeScript, providing a productive and secure scripting environment for the modern programmer. It is distributed as a single executable with no dependencies, and takes on the role of both runtime and package manager. It uses a standard browser-compatible protocol for loading modules, which are URLs. Built on top of V8, Rust and TypeScript, Deno has support for TypeScript right out of the box. It has a set of built-in utilities as well as reviewed (audited) standard modules. -
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libportable
Portable Runtime For Firefox
A library of software written in C with full source code, The dynamic link portable{arch}.dll,make firefox portable for windows. -
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.NET Runtime
Cross-platform runtime for cloud, mobile, desktop, and IoT apps
.NET is a free, cross-platform, open source developer platform for building many different types of applications. With .NET, you can use multiple languages, editors, and libraries to build for web, mobile, desktop, games, and IoT. You can write .NET apps in C#, F#, or Visual Basic. C# is a simple, modern, object-oriented, and type-safe programming language. F# is a cross-platform, open-source, functional programming language for .NET. It also includes object-oriented and imperative programming. Visual Basic is an approachable language with a simple syntax for building type-safe, object-oriented apps. Whether you're working in C#, F#, or Visual Basic, your code will run natively on any compatible OS. Different .NET implementations handle the heavy lifting for you. -
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Node-RED
Low-code programming for event-driven applications
Node-RED is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways. It provides a browser-based editor that makes it easy to wire together flows using the wide range of nodes in the palette that can be deployed to its runtime in a single-click. Node-RED provides a browser-based flow editor that makes it easy to wire together flows using the wide range of nodes in the palette. Flows can be then deployed to the runtime in a single-click. JavaScript functions can be created within the editor using a rich text editor. A built-in library allows you to save useful functions, templates or flows for re-use. The light-weight runtime is built on Node.js, taking full advantage of its event-driven, non-blocking model. This makes it ideal to run at the edge of the network on low-cost hardware such as the Raspberry Pi as well as in the cloud. -
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Node.js
Cross-platform JavaScript runtime environment
Node.js is a free, open-source, cross-platform JavaScript runtime environment that allows developers to run JavaScript outside of the browser. It is built on Chrome’s V8 engine and is designed for building fast, scalable network applications. Node.js enables developers to create servers, APIs, command-line tools, and full-stack web applications using a single programming language. Its non-blocking, event-driven architecture makes it highly efficient for handling concurrent requests. The ecosystem is supported by npm, one of the largest package managers, providing access to thousands of libraries and tools. Node.js is widely used for backend development, real-time applications, and microservices architectures. -
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OpenVR SDK
API and runtime that allows access to VR hardware
OpenVR is an API and runtime that allows access to VR hardware from multiple vendors without requiring that applications have specific knowledge of the hardware they are targeting. This repository is an SDK that contains the API and samples. The runtime is under SteamVR in Tools on Steam. The OpenVR API provides a game with a way to interact with Virtual Reality displays without relying on a specific hardware vendor's SDK. It can be updated independently of the game to add support for new hardware or software updates. This means that you can access the position of the headset using only one API call and it works for all headset brands (Oculus, Mixed Reality, Vive, etc)! The API is implemented as a set of C++ interface classes full of pure virtual functions. When an application initializes the system it will return the interface that matches the header in the SDK used by that application. -
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Erlang/OTP
Build massively scalable soft real-time systems
Erlang is a programming language used to build massively scalable soft real-time systems with requirements on high availability. Some of its uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems. It includes its own distributed database, applications to interface towards other languages, debugging and release handling tools. Erlang/OTP is available as pre-built binary packages by most OS package managers. You can use Kerl, a script that lets you easily build Erlang with a few commands. We take security bugs in Erlang/OTP seriously. The Erlang distribution includes a step-by-step getting started guide. -
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Bun
Incredibly fast JavaScript runtime, bundler, test runner
Develop, test, run, and bundle JavaScript & TypeScript projects—all with Bun. Bun is an all-in-one JavaScript runtime & toolkit designed for speed, complete with a bundler, test runner, and Node. js-compatible package manager. Bun is a new JavaScript runtime built from scratch to serve the modern JavaScript ecosystem. Bun starts fast and runs fast. It extends JavaScriptCore, the performance-minded JS engine built for Safari. As computing moves to the edge, this is critical. Bun provides a minimal set of highly optimized APIs for performing common tasks, like starting an HTTP server and writing files. Bun is a complete toolkit for building JavaScript apps, including a package manager, test runner, and bundler. Bun is designed as a drop-in replacement for Node.js. It natively implements hundreds of Node.js and Web APIs, including fs, path, Buffer and more. -
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ONNX Runtime
ONNX Runtime: cross-platform, high performance ML inferencing
ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Support for a variety of frameworks, operating systems and hardware platforms. Built-in optimizations that deliver up to 17X faster inferencing and up to 1.4X faster training. -
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DragonBones Runtime
DragonBones TypeScript / JavaScript Runtime
DragonBonesJS is a runtime for the DragonBones 2D skeletal animation system, allowing developers to load and animate character rigs in JavaScript-based game engines like PixiJS and Egret. -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers, embedded, or automotive product platforms. TensorRT is built on CUDA®, NVIDIA’s parallel programming model, and enables you to optimize inference leveraging libraries, development tools, and technologies in CUDA-X™ for artificial intelligence, autonomous machines, high-performance computing, and graphics. With new NVIDIA Ampere Architecture GPUs, TensorRT also leverages sparse tensor cores providing an additional performance boost. -
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containerd
An open and reliable container runtime
An industry-standard container runtime with an emphasis on simplicity, robustness and portability. As of February 28, 2019, containerd is officially a graduated project within the Cloud Native Computing Foundation, following Kubernetes, Prometheus, Envoy, and CoreDNS. We'd like to thank the amazing containerd community for making this all possible and we're excited for the future of the project. containerd is available as a daemon for Linux and Windows. It manages the complete container lifecycle of its host system, from image transfer and storage to container execution and supervision to low-level storage to network attachments and beyond. Management of network namespaces containers to join existing namespaces. Network primitives for creation, modification, and deletion of interfaces. Multi-tenant supported with CAS storage for global images. -
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GraalVM
Run programs faster anywhere
GraalVM is a high-performance multilingual runtime. It is designed to accelerate the execution of applications written in Java and other JVM languages while also providing runtimes for JavaScript, Ruby, Python, etc. Increase application throughput and reduce latency. Compile applications into small self-contained native binaries. Seamlessly use multiple languages and libraries. Advanced optimizing compiler that generates fast lean code which requires fewer compute resources. Native binaries start up instantly and deliver peak performance with no warm up time. Leverage the best features and libraries of popular languages in a single app with no overhead. Debug, monitor, profile, and optimize resource consumption in Java and across multiple languages. Enterprise version provides all Community features along with higher performance and enhanced security. Additional ahead-of-time compilation optimizations and 24/7/365 support from Oracle. -
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DynamoRIO
Dynamic Instrumentation Tool Platform
DynamoRIO is a runtime code manipulation system that supports code transformations on any part of a program, while it executes. DynamoRIO exports an interface for building dynamic tools for a wide variety of uses: program analysis and understanding, profiling, instrumentation, optimization, translation, etc. Unlike many dynamic tool systems, DynamoRIO is not limited to insertion of callouts/trampolines and allows arbitrary modifications to application instructions via a powerful IA-32/AMD64/ARM/AArch64 instruction manipulation library. DynamoRIO provides efficient, transparent, and comprehensive manipulation of unmodified applications running on stock operating systems (Windows, Linux, or Android) and commodity IA-32, AMD64, ARM, and AArch64 hardware. Mac OSX support is in progress. -
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OpenShell
OpenShell is the safe, private runtime for autonomous AI agents.
OpenShell is an open-source runtime designed to safely run autonomous AI agents in isolated environments. Developed by NVIDIA, it provides sandboxed execution spaces that protect system resources, credentials, and data from unauthorized access. Each agent runs inside a containerized sandbox governed by declarative YAML security policies that control network access, file permissions, and process behavior. The platform includes a gateway service that manages sandbox lifecycles and routes AI inference requests through controlled providers. OpenShell also features a privacy-aware routing system that prevents sensitive information from leaving the sandbox environment. By combining container isolation, policy enforcement, and agent orchestration, OpenShell offers a secure infrastructure for developing and operating AI agents. -
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mise
Dev tools, env vars, task runner
Mise (formerly RTX) is a cross-language CLI tool and task runner that manages developer tools, environment variables, and project tasks in a unified configuration (mise.toml). It handles tool installation (e.g., Node, Python, Terraform), env var profiles, and repeatable command scripting. -
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RunMat
The Fast, Free, Modern MATLAB / Octave code runtime
RunMat is a free, open-source, MATLAB-compatible runtime designed to execute existing MATLAB/Octave code without license fees or vendor lock-in. The project emphasizes modern performance, describing a V8-inspired runtime architecture with a lightweight installer for Linux, macOS, and Windows. It targets full language grammar and core semantics, aiming to support arrays, indexing idioms, multiple return values, and classdef constructs that many scientific users rely on. The distribution includes one-line install scripts and highlights forthcoming editor integrations (VS Code and IntelliJ plugins) to provide syntax highlighting, IntelliSense, and integrated debugging. Its website positions RunMat as a drop-in engine for current codebases, with an OSS development model inviting contributors to inspect the code or build from source. Overall, the goal is to give researchers, students, and engineers a fast, portable runtime for numerical computing workloads. -
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CoreCLR
Runtime for .NET Core
CoreCLR is the runtime for .NET Core, an open source, general purpose development platform maintained by Microsoft and the .NET community. It is a cross-platform runtime for cloud, IoT, and desktop apps and includes a just-in-time compiler called RyuJIT. -
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OCaml
The core OCaml system: compilers, runtime system, base libraries
OCaml is a general-purpose, industrial-strength programming language with an emphasis on expressiveness and safety. OCaml’s powerful type system means more bugs are caught at compile-time, and large, complex codebases are easier to maintain. This makes it a good language for running critical code. At the same time, sophisticated inference makes the type system unobtrusive, creating a smooth developer experience. OCaml has two compilers. One is a bytecode compiler that generates small, portable executables and is very fast. The other is a native code compiler that produces more efficient machine code; its performance matches the highest standards of modern compilers. OCaml has great support for the most popular editors. VS Code is recommended for beginners, and for power users there is deep integration with Vim and Emacs. OCaml has a rich and dynamic community and best-in-class tooling. -
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Wasmtime
A fast and secure runtime for WebAssembly
A standalone runtime for WebAssembly The Wasmtime CLI can be installed on Linux and macOS (locally) with a small install script. -
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workerd
The JavaScript / Wasm runtime that powers Cloudflare Workers
workerd is the server runtime that powers Cloudflare Workers — a modern, standards-aligned JavaScript and WebAssembly execution environment that can be run outside of Cloudflare’s global edge network as a standalone server or proxy. Designed to host serverless applications written to the Workers platform API (including fetch() and Web standard libraries), workerd enables developers to self-host edge-style workloads in local data centers or development environments, or to test Workers code offline before deploying to the cloud. It emphasizes performance, predictable deployment semantics, and secure isolation, and it uses a capability-based configuration model to bind external resources and services into worker applications in a composable way. The architecture promotes homogeneous deployment of “nanoservices,” which are lightweight components that can be distributed and scaled without complex orchestration, and it supports backward compatibility. -
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asdf
Extendable version manager with support for Ruby, Node.js, Elixir, etc
Manage multiple runtime versions with a single CLI tool. Manage each of your project runtimes with a single CLI tool and command interface. asdf is a CLI tool that can manage multiple language runtime versions on a per-project basis. It is like gvm, nvm, rbenv & pyenv (and more) all in one! Simply install your language's plugin! Large ecosystem of existing runtimes & tools. Simple API to add support for new tools as you need! Support for existing config files .nvmrc, .node-versions, .ruby-version for smooth migration! .tool-versions to manage all your tools, runtimes, and their versions in a single, sharable place. Supports Bash, ZSH, Fish & Elvish with completions available. Provides a GitHub Action to install and utilize your .tool-versions in your CI/CD workflows. -
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JetBrains Runtime
Runtime environment based on OpenJDK for running IntelliJ products
JetBrainsRuntime is the custom Java Runtime Environment (JRE) distribution maintained by JetBrains that enhances the standard OpenJDK to better support JetBrains products and provide a robust, optimized runtime for IDEs like IntelliJ IDEA, Rider, and other tools. It includes performance-tuned garbage collectors, desktop integration fixes, font rendering improvements, enhanced GTK support on Linux, and additional patches not available in stock JDK builds to ensure smoother, more stable behavior for large-scale IDE usage. These modifications are aimed at reducing resource consumption, improving windowing and high-DPI rendering, and delivering a consistent user experience across operating systems. By controlling the runtime environment, JetBrains can ship their IDEs with confidence that core JVM behavior will align with expected performance, reducing platform-specific issues and enhancing responsiveness.
