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MOOD is a new MOO (MUD Object Oriented) style server, inspired by LambdaMOO. It IS NOT compatable to existing Lambda databases, and WILL make syntactic changes to the MOO programming language, and structural changes to MOO Objects.
JaMOOka is an applet-based MOO client. Designed for JHCore MOOs, it uses Amy Bruckman's MacMOOse utilities and the MCP 2.1 protocol to facilitate a number of advanced MOO editing and programming tasks through client windows.
lilyCore is a database for LambdaMoo. It is used to implement a direct and group communication enviroment very different from the traditional Moo database. Daisy is a related project at SourceForge ( http://daisy.sf.net/ ).
JHCore is a core database for the LambdaMOO server. JHCore is an excellent starting point from which you can build a wide range of applications. JHCore is an alternative to LambdaCore, the default core database for the LambdaMOO server.
Funktion is an open source event driven lambda style programming model on top of Kubernetes. This project provides a command line tool for working with Funktion. It supports hundreds of different trigger endpoint URLs including most network protocols, transports, databases, messaging systems, social networks, cloud services and SaaS offerings.
AWS Lambda is a service which allows named functions to be directly invoked (via a client API), have their execution triggered by a variety of AWS events (S3 upload, DynamoDB activity, etc.) or to serve as HTTP endpoints (via API Gateway). This README serves to document a Leiningen plugin (lein-cljs-lambda), template (cljs-lambda) and small library (cljs-lambda) to facilitate the writing, deployment & invocation of Clojurescript Lambda functions.
Author your AWS Lambda functions in Go, effectively. AWS Lambda lets you run code without thinking about servers. For now, you can author your AWS Lambda functions, natively, in C#, Java, Node.js and Python. This project provides a native and full-featured shim for authoring your AWS Lambda functions in Go.
Lambda-local lets you test Amazon Lambda functions on your local machine with sample event data. The context of the Lambda function is already loaded so you do not have to worry about it. You can pass any event JSON object as you please. You can use Lambda-local as a command line tool.
This container image converter tool (img2lambda) repackages container images (such as Docker images) into AWS Lambda layers, and publishes them as new layer versions to Lambda. The tool copies all files under '/opt' in the Docker image, maintaining the individual Docker image layers as individual Lambda layers. The published layer ARNs will be stored in a file 'output/layers.json', which can be used as input when creating Lambda functions. Each layer is named using a "namespace" prefix (like img2lambda or my-docker-image) and the SHA256 digest of the Docker image layer, in order to provide a way of tracking the provenance of the Lambda layer back to the Docker image that created it.
This repo contains the instruction material and assignments for Lambda School's free Web Dev 101 mini-bootcamp. Lambda School's free Web Dev 101 mini-bootcamp is a three week long course that covers the fundamentals of programming and web development. Class is held at 5pm Pacific Time Monday through Thursday at the dates listed below. This class is repeated and given live every month. To receive help with the homework you can join our Slack team. After registering for the mini-bootcamp on our website you will be sent an invitation to join Slack. We have TAs available to answer questions about the homework.
Evennia is a modern library for creating online multiplayer text games (MUD, MUSH, MUX, MUCK, MOO etc) in pure Python. It allows game creators to design and flesh out their ideas with great freedom. Evennia is made available under the very friendly BSD license. http://www.evennia.com is the main hub tracking all things Evennia.
Python-lambda is a toolset for developing and deploying serverless Python code in AWS Lambda. With python-lambda and pytube both continuing to gain momentum, I'm calling for contributors to help build out new features, review pull requests, fix bugs, and maintain overall code quality. If you're interested, please email me at nficano[at]gmail.com.