Search Results for "common"
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Showing 7 open source projects for "common"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Application Monitoring That Won't Slow Your App DownFull APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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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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.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... -
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Bun
Incredibly fast JavaScript runtime, bundler, test runner
...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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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... -
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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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,... -
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Scala Native
Your favorite language gets closer to bare metal
...With the help of extern objects you can seamlessly call native code without any runtime overhead. Scala Native is compiled ahead of time via LLVM. This means that there is no sluggish warm-up phase that’s common for just-in-time compilers. Your code is immediately fast and ready for action. Scala Native requires Clang, which is part of the LLVM toolchain. The recommended LLVM version is the most recent available for your system provided that it works with Scala Native. Scala Native uses the Immix garbage collector by default. You can use the Boehm garbage collector instead. ... -
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AWS Neuron
Powering Amazon custom machine learning chips
AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can...
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