Open Source Windows Build Tools - Page 64

Ruben provides Maven 2.x plugins for Ruby builds. Includes functionality for unit testing, syntax checking, rails/gem packaging and dependency resolution.

Generate installable binary distributions of Ruby programs for many platforms (many OS, with or without Ruby installed on clients...). Fit to distribute extensible (plugins) Ruby programs also. Handles also libraries and uploads on websites (SF.net...).

Ruby Inline's 13+ releases has been fully migrated to http://rubyforge.org/projects/rubyinline/ Please go there for more information. It just seems to work better over there. :/ (just click home page above)

RudeBuild is a non-intrusive bulk/unity C++ build tool that seamlessly integrates into Visual Studio 2017 and 2019 as an extension, but can also be launched from the command line. It can speed up build times of large C++ projects by a factor of 5 or more. RudeBuild also supports IncrediBuild and SN-DBS.

Simple Dashboard Admin App built using Angular 13 and Bootstrap 5. This project is a port of the famous Free Admin Bootstrap Theme SB Admin v8.0 to Angular 13 Theme. This project was generated with Angular CLI version 13.2.2. Provides fast, reliable and extensible starter for the development of Angular projects. Note that this seed project requires node >=v12.0.0 and npm >=6. Run ng generate component component-name to generate a new component. You can also use ng generate directive/pipe/service/class/module. Run ng test to execute the unit tests via Karma. Run ng e2e to execute the end-to-end tests via Protractor. Before running the tests make sure you are serving the app via ng serve.

Single Click Tools for Remote Desk Top Systems like UltraVNC

SCons is a make replacement providing a range of enhanced features such as automated dependency generation and built in compilation cache support. SCons rule sets are Python scripts so as well as the features it provides itself SCons allows you to use the full power of Python to control compilation. This package is an extension (tool) to SCons, which enables "compilation" of gnuplot scripts in SCons-based projects. The intended audience include (but is not limited to) authors/publishers of LaTeX documents, scientific comunity and authors of the projects relying on automatic generation of plots.

SFExtCtrl includes following Delphi VCL controls: TSFBgPanel: A background panel to which a background picture can be added. TSFCheckImageListBox: A list box with choice (checkboxes for individual items) and the option to assign icons to the items. TSFLabeledImage: An image component with which images in the application can be fixed to each other. As a result, an overall picture can be simulated, in which, however, actions for individual elements (pictures or labels) can be reacted separately. TSFImageLabel: Labels that can be positioned in a picture. See also TSFLabeledImage TSFLabeledColorPanel: A small bar chart with a description of the individual elements TSFRotateText: A component that allows text to be rotated in all directions. TSFImageHelper: A helper class for loading images whose format is unknown.

SFExtDBCtrl includes following Delphi VCL controls: TSFDBGrid: An extension to TDBGrid that fixes the partial problems of customizing scollbars. TSFDBGridInplaceCheckBox: A CheckBox that serves as InplaceEditor within a DBGrid. This allows Yes/No selections within a DBGrid to be handled via a CheckBox.

An MFC based program designed to generate NSIS and MSI (using WiX) installer packages and quickly add/remove files, registry entries and other related items to be included in install packages.

SilGraphiteControl is an ActiveX control that provides rendering using SIL's Graphite engine. SilGraphiteControl enable OLE enabled programs to be able to render complex non-Roman writing system.

SIMULA is a open java source software designed for students that want learn multy agent systems. SIMULA is a software that make it possible create simple multy agent system simulations.

The SJSX is a tool to make a XML Data Binding from a schema (XSD) and to generate its representatives classes in Java Script. You can create JS objects from these classes to easily generate a XML structure based in the schema.

A complete cleanup (for readability and ease of coding) and doccumentation of the original SMAUG 1.4a codebase, SLAM-GTP is also a minor re-write, bringing new features to the codebase, while also fixing and/or adding functionality to existing ones.

An editor for Simple Machines Forum (SMF) modifications, SMF Mod Creator can create, edit, and build simple SMF Mods. SMF is a free PHP forum software by Simple Machines, Lewis Media. Requires Java 5.0.

ValueObjects Framework accelerates Service-Oriented Architecture development by providing an API and IDE plug-in for SOAP-compliant objects built on existing persistence engines. Supports Oracle Application Development Framework and JDeveloper 10g.

Squeezer is a platform that empowers new-entry blockchain developers to build serverless dApps simply as dead. The main usage of the ChainKit is to unify top blockchains interfaces into a single normalized API interface, therefore you can build blockchain dApps easily without digging into blockchain complex infrastructure. Bi-directional on-chain transactions (inbound and outbound). Build dApps connecting to smart contracts using chain kit agnostic connector. Quick intuitive code deployments by using a special mechanism that will deploy smart contracts and dApp services where code changed. Silent deployments, no interruption for the current functionality (really useful on production). One single command to simultaneously deploy all available functions on your project where code changed from the last deployment. Test your code locally on a simulated functions platform for a faster development cycle.

A simple Wrapper for SDL (http://www.libsdl.org). It use "Simple Raster Graphics Packages" SRGP from Computer Graphics: Principles and Practice by Foley, van Dam, Feiner and Hughes.

STDProject (Simple Tree Driven Project) is a modeling tool for software development projects. It will let you build your project, watch its consistency, generate documentation and reuse work from one project to another.

This project is an OpenTool for JBuilder. The tool extends JBuilder's editor such that whenever the carat is immediately preceded by a parenthesis (or brace or bracket) a highlight is placed on the matching element.

SXML is a GNU program that allow to easily manipulate XML sources without worrying about DTDs, Schemas, XSLT and so on. It is implemented in PERL and supports Guile as embedded language for programming it. It is very useful to admin tasks and as an interm

SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well.

SageMaker TensorFlow Serving Container is an a open source project that builds docker images for running TensorFlow Serving on Amazon SageMaker. Some of the build and tests scripts interact with resources in your AWS account. Be sure to set your default AWS credentials and region using aws configure before using these scripts. Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles are grouped based on the version of TensorFlow Serving they support. Each supported processor type (e.g. "cpu", "gpu", "ei") has a different Dockerfile in each group. If your are testing locally, building the image is enough. But if you want to your updated image in SageMaker, you need to publish it to an ECR repository in your account. You can also run your container locally in Docker to test different models and input inference requests by hand.