Open Source Scala Software for Mac - Page 4

Needle is a simple dependency injection framework for configuring POJOs from properties files using annotations. Supports all numeric types, enums, arrays, collections and maps. Just drop into your classpath and never read a properties file again!

NeoDatis ODB is a new generation Object Oriented Database. ODB is a real native and transparent persistence layer for Java, .Net, Groovy, Scala and Google Android. ODB is very simple and very fast and comes with a powerful query language.

Moved to Github: https://github.com/KarolS/nf-visual-browser

OpenComputers is a Minecraft mod that adds programmable computers and robots to the game. The built-in computer implementation uses Lua 5.2 and is fully persistent. This means programs will continue running across reloads. OpenComputers is a mod that adds computers and robots into the game, which can be programmed in Lua 5.3. It takes ideas from a couple of other mods such as ComputerCraft, StevesCarts and Modular Powersuits to create something new and interesting.

OpenSeaPad is a Etherpad Fork with improvments on the original Etherpad Software

Apache OpenWhisk is an open source, distributed Serverless platform that executes functions (fx) in response to events at any scale. OpenWhisk manages the infrastructure, servers and scaling using Docker containers so you can focus on building amazing and efficient applications. The OpenWhisk platform supports a programming model in which developers write functional logic (called Actions), in any supported programming language, that can be dynamically scheduled and run in response to associated events (via Triggers) from external sources (Feeds) or from HTTP requests. The project includes a REST API-based Command Line Interface (CLI) along with other tooling to support packaging, catalog services and many popular container deployment options. Since Apache OpenWhisk builds its components using containers it easily supports many deployment options both locally and within Cloud infrastructures.

Perico is a dialogue management library. It allows you to specify a dialogue agent: a computer program that can interact with a user (or other agents) using (natural language) messages.

PhiWeave is a machine learning library for structured prediction via factor graphs. It is part of an ongoing effort to implement and improve on the current state-of-the-art in inference and parameter estimation for graphical models.

Swing based scala/java application for preparing and running picture presentations in a form of a graph. This form allows for example following different presentation paths depending on audience interest, it also allows grouping of similar pictures.

Prisma is the perfect tool for building GraphQL servers. The Prisma client is compatible with the Apollo ecosystem, has default support for GraphQL subscriptions and Relay-style pagination, provides end-to-end type safety and comes with a built-in dataloader to solve the N+1 problem. Prisma replaces traditional ORMs and simplifies database workflows. Access, Type-safe database access with the auto-generated Prisma client (in JavaScript, TypeScript, Go). Migrate, declarative data modeling and migrations (optional). Manage, visual data management with Prisma Admin. It is used to build GraphQL, REST, gRPC APIs and a lot more. Prisma currently supports MySQL, PostgreSQL, MongoDB. Prisma is a great fit for building REST& gRPC APIs where it can be used in place of traditional ORMs. It provides many benefits such as type safety, a modern API and flexible ways for reading and writing relational data.

RedRoo implements a framework for defining and executing hierarchical state machines. As a Red Kangaroo jumps from place to place, RedRoo will transition your application from state to state feeding on the events you pass to it. So get jumping!

Regular Expression Builder for Java (reb4j) is a simple set of classes that encapsulate the regular expressions used by java.util.regex.Pattern and provide facilities for composing larger expressions from sub-expressions.

A web application that helps students learn Java. Students can submit their solutions to programming exercises and get immediate feedback through automated tests. The application is built with Scala and Lift.

SageMaker Spark is an open-source Spark library for Amazon SageMaker. With SageMaker Spark you construct Spark ML Pipelines using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting. With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting your trained models, and, if you have your own ML algorithms built into SageMaker compatible Docker containers, you can use SageMaker Spark to train and infer on DataFrames with your own algorithms -- all at Spark scale. SageMaker Spark depends on hadoop-aws-2.8.1. To run Spark applications that depend on SageMaker Spark, you need to build Spark with Hadoop 2.8. However, if you are running Spark applications on EMR, you can use Spark built with Hadoop 2.7.

Sangria is a Scala GraphQL implementation. It is an example of GraphQL server written with Play framework and Sangria. It also serves as a playground, where you can interactively execute GraphQL queries and play with some examples. If you want to use sangria with a react-relay framework, then you also may be interested in sangria-relay. Sangria is a spec-compliant GraphQL implementation, so it works out of the box with Apollo, Relay, GraphiQL and other GraphQL tools and libraries. Since GraphQL has a type system, the server defines a schema that the client can query using the introspection API. This provides the client with a set of possibilities. After the client got this information and decided which parts of the data it needs, it is able to describe its data requirements in form of a GraphQL query. An important aspect of GraphQL is that it’s completely backend agnostic.

Math expression parser and evaluator written in Scala. Usable from Java (Sun JRE 1.6) Provides float, integral, boolean and vector data types, some string processing support. Variables may be defined internally or im- and exported through a binding.

This project is a spin off of hipergate CRM mailing module. It has been completely rewritten in Scala and optimized for efficiently sending batches of millions of personalized emails.

Scala Native is an optimizing ahead-of-time compiler and lightweight managed runtime designed specifically for Scala. Pointers, structs, you name it. Low-level primitives let you hand-tune your application to make it work exactly as you want it to. You’re in control. Calling C code has never been easier. 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. If you chose to use that alternate garbage collector both the native library and header files must be provided.

To convert my Scala unit tests to Kolin unit tests as Scala is a pain to upgrade and I'm stock at Scala 1.12. Easier to move to Kotlin which also works fine with Android.

Strong typing guarantees your code is free of silly mistakes; no more mixing up strings or numbers, forgetting what keys an object has, or worrying about typos in your method names. Scala.js takes care of all this tedious book-keeping for you, letting you focus on the actual, more interesting problem your application is trying to solve. Scala.js optimizes your Scala code into highly efficient JavaScript. Incremental compilation guarantees speedy (1-2s) turn-around times when your code changes. The generated JavaScript is both fast and small, starting from 45kB gzipped for a full application. Scala.js loves JavaScript libraries, including React and AngularJS. You can use any JavaScript library right from your Scala.js code, either in a statically or dynamically typed way. You won't even notice you're crossing a language border!

Scalaffinity is a library providing a core of functionalities for any social networking web site extracting and leveraging collective intelligence. Scalaffinity is built using Scala, Spring, JPA+Hibernate(Search)+EHCache, JUnit+DBUnit, Maven...

Scalargs is a Scala library for parsing command line options as easily as possible.

This domain specific language lets you declare complex java objects with a Json-like notation. In addition to that, it lets you specify in a natural way what the mockito mocks should return when called with a given value.

Scrooge is a thrift code generator written in Scala, which currently generates code for Scala, Java, Cocoa, Android, and Lua. It’s meant to be a replacement for the Apache thrift code generator and generates conforming, binary-compatible codecs by building on top of libthrift. Since Scala is API-compatible with Java, you can use the apache thrift code generator to generate Java files and use them from within Scala, but the generated code uses Java collections and mutable “bean” classes, causing some annoying boilerplate conversions to be hand-written. This is an attempt to bypass the problem by generating Scala code directly. It also uses Scala syntax so the generated code is much more compact. There is a fairly comprehensive set of unit tests, which actually generate code, compile it, and execute it to verify expectations.

This application simplifies tracking and editing shell command history for interactive shells such as tcsh and zsh (or any shell that can be made to run a pre-execution alias or command).