This command line interface enables you to package your Node.js project into an executable that can be run even on devices without Node.js installed.

Shareable JavaScript Benchmarking

• Built-in ES2015 support, powered by Babel
• Statistically significant benchmarks, powered by Benchmark.js

Prepack is a tool that optimizes JavaScript source code: Computations that can be done at compile-time instead of run-time get eliminated. Prepack replaces the global code of a JavaScript bundle with equivalent code that is a simple sequence of assignments. This gets rid of most intermediate computations and object allocations.

Cheatsheet list of techniques and patterns for maximizing software performance and scalability

This is a collection of known design patterns and some sample code how to implement them in PHP. Every pattern has a small list of examples (most of them from Zend Framework, Symfony2 or Doctrine2 as I'm most familiar with this software).

A tool for developing responsive websites crazy-fast.
Open sourced : https://github.com/kitze/sizzy

Postal is a complete and fully featured mail server for use by websites & web servers. Think Sendgrid, Mailgun or Postmark but open source and ready for you to run on your own servers.

A lightweight, open source, tracking-free comment engine alternative to Disqus.

A modern CSS framework based on Flexbox

Slate is a completely customizable framework for building rich text editors.

Slate lets you build rich, intuitive editors like those in Medium, Dropbox Paper or Canvas—which are becoming table stakes for applications on the web—without your codebase getting mired in complexity.

A command-line tool for working with Architecture Decision Records (ADRs).

Have fun with friends, schoolmates or co-workers on multiplayer programming games and show them who's the boss!
Join our international online programming contests for fun, prizes or glory.
Hit the Leaderboard and get recognition from your peers.

Machine Learning in Python

Simple and efficient tools for data mining and data analysis
Accessible to everybody, and reusable in various contexts
Built on NumPy, SciPy, and matplotlib
Open source, commercially usable - BSD license

Speech and natural language tools

Use webtask for …
Serverless Applications

Run server-side code for your JavaScript and native applications. Just worry about your code.
Programmable Webhooks

Run code on each Stripe Payment, a GitHub Push, or any webhook, without setting up servers.
Multi Tenant Sandbox

Allow your customers to extend your product using Node.js code instead of creating your own DSL.

Scuttlebot is an open source peer-to-peer log store used as a database, identity provider, and messaging system. It has:

Global replication
File-synchronization
End-to-end encryption

Top-like interface for container metrics

ctop provides a concise and condensed overview of real-time metrics for multiple container

Open source machine learning tools for developers and product teams to expand bots beyond answering simple questions.

Rasa Core's primary purpose is to help you build contextual, layered conversations with lots of back-and-forth. To have a real conversation, you need to have some memory and build on things that were said earlier. Rasa Core lets you do that in a scalable way.

RASA NLU is an open-source tool for intent classification and entity extraction. You can think of it as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

Botpress is an open-source bot creation tool written in Javascript. It is powered by a rich set of open-source modules built by the community. We like to say that Botpress is like the Wordpress of Chatbots; anyone can create and reuse other people's modules.

CodeScene identifies patterns in the evolution of your code. This gives you the power to predict its future and to find the code that is hard to evolve and prone to defects. The investigation takes only minutes but saves you from future limitations, bottlenecks or maintenance issues.

CodeScene gives you a better understanding of your software systems. Here are just a few of all the questions that CodeScene will help you find answers to:

Which part of the code might become productivity bottlenecks?
Which parts of the code will be hard to maintain?
What is the technical risk when a key developer leaves the project?
Which parts of the code should we improve to get a real productivity and quality gain?
How is the knowledge distribution between teams in your codebase?