Open Source Linux Runtimes
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Runtimes for Linux
View 1284 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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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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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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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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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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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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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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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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.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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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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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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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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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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NVIDIA Container Toolkit
Build and run Docker containers leveraging NVIDIA GPUs
The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines in the ecosystem - Docker, LXC, Podman etc. Follow the User Guide for running GPU containers with these engines. The architecture of the NVIDIA Container Toolkit allows for different container engines in the ecosystem - Docker, LXC, Podman to be supported easily. The NVIDIA Container Toolkit provides different options for enumerating GPUs and the capabilities that are supported for CUDA containers. -
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Wasmer
The leading WebAssembly Runtime supporting WASIX, WASI and Emscripten
Create apps that run everywhere, publish, share with the community, and deploy to the edge, globally. Serve sandboxed WebAssembly apps anywhere through a single runtime and do in days what others do in months. Using a binary for each platform and chip is the past. Rise above with lightweight containerized apps that simply run everywhere. Supports almost every programming language. Truly universal, runs everywhere & fast as native. Packages are limited by their languages no more. Collaborate across stacks, leverage the ecosystem, and contribute your own packages. Get the scalability of serverless and the reusability of the cloud. Deploy to the edge, save your users time and yourself money. Faster, affordable & indefinitely scalable. All languages are fully containerized & collaborative. Plug your own backend, compiler, or runner. Run apps at close to native speed and outperform the competition. -
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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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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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Agent Executor (AX)
Google's open source distributed agent runtime
Agent Executor (AX) is a Google research project for learning discrete choice models through differentiable maximum likelihood estimation. It is designed for situations where a model needs to predict choices from a finite set of alternatives, such as ranking, recommendation, preference modeling, or decision behavior analysis. The project provides JAX-based tools for defining and training choice models with automatic differentiation. It focuses on flexible model construction rather than a single fixed estimator, making it useful for researchers who want to experiment with different utility functions and optimization setups. ax is especially relevant for machine learning and econometrics workflows that need scalable, differentiable approaches to choice modeling. Its main value is giving researchers a modern, accelerator-friendly framework for estimating and analyzing discrete choice behavior. -
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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. -
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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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ChakraCore
ChakraCore is an open source Javascript engine with a C API
ChakraCore is a JavaScript engine with a C API you can use to add support for JavaScript to any C or C compatible project. It can be compiled for x64 processors on Linux macOS and Windows. And x86 and ARM for Windows only. It is a future goal to support x86 and ARM processors on Linux and ARM on macOS. As you may have heard Microsoft Edge no longer uses Chakra. Microsoft will continue to provide security updates for ChakraCore 1.11 until 9th March 2021 but do not intend to support it after that. ChakraCore is planned to continue as a community project targeted primarily at embedded use cases. We hope to produce future releases with new features and enhancements to support such use cases. You can build ChakraCore on Windows 7 SP1 or above, and Windows Server 2008 R2 or above, with either Visual Studio 2015 or 2017 with C++ support installed. -
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MoarVM
A runtime built for the 6model object system
Short for "Metamodel On A Runtime", MoarVM is a modern virtual machine built for the Rakudo Perl 6 compiler and the NQP Compiler Toolchain. MoarVM is used by the majority of Perl 6 programmers. Highlights include: Great Unicode support, with strings represented at grapheme level, dynamic analysis of running code to identify hot functions and loops, and perform a range of optimizations, including type specialization and inlining, support for threads, a range of concurrency control constructs, and asynchronous sockets, timers, processes, and more, generational, parallel, garbage collection, support for numerous language features, including first class functions, exceptions, continuations, runtime loading of code, big integers and interfacing with native libraries. MoarVM provides very little directly - and that's a good thing. It is not tied to a particular way of doing inheritance, roles, mixins, method resolution, type-checking, and so forth. -
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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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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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WasmEdge
Extensible WebAssembly runtime for cloud native applications
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime. It is the fastest Wasm VM today. WasmEdge is an official sandbox project hosted by the CNCF. Its use cases include modern web application architectures (Isomorphic & Jamstack applications), microservices on the edge cloud, serverless SaaS APIs, embedded functions, smart contracts, and smart devices. The WasmEdge Runtime provides a well-defined execution sandbox for its contained WebAssembly bytecode program. The runtime offers isolation and protection for operating system resources (e.g., file system, sockets, environment variables, processes) and memory space. The most important use case for WasmEdge is to safely execute user-defined or community-contributed code as plug-ins in a software product (e.g., SaaS, software-defined vehicles, edge nodes, or even blockchain nodes). It enables third-party developers, vendors, suppliers, and community members to extend and customize the software product. -
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AWS Lambda NodeJS Runtime Interface
Extend your preferred base images to be Lambda compatible
We have open-sourced a set of software packages, Runtime Interface Clients (RIC), that implement the Lambda Runtime API, allowing you to seamlessly extend your preferred base images to be Lambda compatible. The Lambda Runtime Interface Client is a lightweight interface that allows your runtime to receive requests from and send requests to the Lambda service. The Lambda NodeJS Runtime Interface Client is vended through npm. You can include this package in your preferred base image to make that base image Lambda compatible. To make it easy to locally test Lambda functions packaged as container images we open-sourced a lightweight web-server, Lambda Runtime Interface Emulator (RIE), which allows your function packaged as a container image to accept HTTP requests. You can install the AWS Lambda Runtime Interface Emulator on your local machine to test your function.
