Open Source JavaScript Application Servers for Linux

JavaScript Application Servers for Linux

View 19 business solutions

Browse free open source JavaScript Application Servers for Linux and projects below. Use the toggles on the left to filter open source JavaScript Application Servers for Linux by OS, license, language, programming language, and project status.

  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
    Start Free
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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.
    Start Free
  • 1
    Haraka

    Haraka

    A fast, highly extensible, and event driven SMTP server

    Haraka is a highly scalable node.js email server with a modular plugin architecture. Haraka can serve thousands of concurrent connections and deliver thousands of messages per second. Haraka and plugins are written in asynchronous JS and are very fast. Haraka has very good spam protection (see plugins) and works well as a filtering MTA. It also works well as a MSA running on port 587 with auth and dkim_sign plugins enabled. Haraka makes no attempt to be a mail store (like Exchange or Postfix/Exim/Qmail), a LDA, nor an IMAP server (like Dovecot or Courier). Haraka is typically used with such systems. Haraka has a scalable outbound mail delivery engine built in. Mail marked as relaying (such as via an auth plugin) is automatically queued for outbound delivery. Haraka's plugin architecture provides an easily extensible MTA that complements traditional MTAs that excel at managing mail stores but do not have sufficient filtering.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 2
    MailSlurper

    MailSlurper

    Local, web-based mail server application. Slurp mails into oblivion!

    MailSlurper is a small SMTP mail server that slurps mail into oblivion! MailSlurper is perfect for individual developers or small teams writing mail-enabled applications that wish to test email functionality without the risk or hassle of installing and configuring a full-blown email server. It's simple to use! Simply set up MailSlurper, configure your code and/or application server to send mail through the address where MailSlurper is running, and start sending emails! MailSlurper will capture those emails into a database for you to view at your leisure. The following are general instructions for compiling MailSlurper. Your details may vary a bit here and there. The below example is based on a Unix-style system, such as Ubuntu or OSX. Furthermore, for instructional purposes, it is assumed that your GOPATH is set to ~/code/go, and that you have a folder in your source directory called github.com. Your setup may vary.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    MobX

    MobX

    A Simple, scalable state management

    MobX is a battle tested library that makes state management simple and scalable by transparently applying functional reactive programming (TFRP). Write minimalistic, boilerplate free code that captures your intent. Trying to update a record field? Use the good old JavaScript assignment. Updating data in an asynchronous process? No special tools are required, the reactivity system will detect all your changes and propagate them out to where they are being used. All changes to and uses of your data are tracked at runtime, building a dependency tree that captures all relations between state and output. This guarantees that computations depending on your state, like React components, run only when strictly needed. There is no need to manually optimize components with error-prone and sub-optimal techniques like memoization and selectors.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB