Open Source Mac Software Development Software - Page 88
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Software Development Software for Mac
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Fury
A blazing fast multi-language serialization framework
Fury is a blazing-fast multi-language serialization framework powered by jit(just-in-time compilation) and zero-copy, providing up to 170x performance and ultimate ease of use. Based on efficient JIT, struct deserialization can get 170x speed up compared to other serialization frameworks. In serialization scenarios, Fury can achieve a 100x speed up compared to traditional serialization frameworks. If you use Java clusters on a large scale, this will save a lot of computing resources. -
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GIN-VUE-ADMIN
Gin-vue-admin is a development platform based on vue and gin
The basic development platform based on vite+vue3+gin (supporting mixed use of TS and JS), integrates jwt authentication, authority management, dynamic routing, visible and hidden controllable components, paging encapsulation, multi-login interception, resource permissions, upload and download, Code generator, form generator and other necessary functions for development. Gin-vue-admin is a development platform based on vue and gin , which is a full-stack front-end and back-end separation. It integrates jwt authentication, dynamic routing, dynamic menu, casbin authentication, form generator, code generator and other functions, providing multiple A sample file allows you to focus more time on business development. Gin-vue-admin is a set of open-source frameworks with a front-end and back-end separation architecture for rapid development, designed to quickly build small and medium-sized projects. -
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GLM.jl
Generalized linear models in Julia
GLM.jl is a Julia package for fitting linear and generalized linear models (GLMs) with a syntax and functionality familiar to users of R or other statistical environments. It is part of the JuliaStats ecosystem and is tightly integrated with StatsModels.jl for formula handling, and Distributions.jl for specifying error families. The package supports modeling through both formula-based (e.g. @formula) and matrix-based interfaces, allowing both high-level convenience and low-level control. Under the hood, GLM.jl separates the linear predictor and response objects, allowing flexible combinations of link functions, variance structures, and fitting methods. -
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Gantry Framework
Next Generation Template / Theme Framework
Develop CMS themes quickly and efficiently while providing flexibility and ease of use for end-users. Gantry was born when the RocketTheme development team wanted to consolidate our extensive set of custom Grav, Joomla and WordPress theme functionality into a simple, easy-to-use framework. Yes, that’s right! Gantry 5 has a powerful and easy-to-use Layout Manager that ensures controlling the layout is a highly visual experience. When we started the Gantry 5 project, we wanted to think past the concept of Gantry as a framework. We wanted to create something so versatile and powerful, that it could stand on its own as a platform, virtually independent of a CMS in concept and implementation. Utilizing a dual MIT & GPL license, Gantry is free to use pretty much anywhere! Designed from the ground-up with performance and efficiency in mind. Configure and structure your menu hierarchy with our new Menu editor. -
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Gantt-elastic - Javascript Gantt Chart
Gantt Chart [ javascript gantt chart, gantt component, vue gantt)
Gantt Chart, JavaScript Gantt chart, Gantt component, vue Gantt, vue Gantt chart, responsive Gantt, project manager, vue projects. -
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Garfish
A powerful micro front-end framework
Contains the basic capabilities required to build a micro-front-end system, and any front-end framework can be used. The access is simple, and multiple front-end applications can be easily combined into a single product with a cohesive. Support vue, react, andangular mixed use of multiple frameworks. The method used in practical applications is greatly simplified. Support configuration routing activation information can complete automated loading and destruction. The micro-front end is a structure similar to the micro-service. It is a architectural style composed of multiple front-end applications delivered independently, which breaks down the front-end applications into smaller, simpler applications that can be developed, tested, and deployed independently. , And in the eyes of users, it is still a single product that is introverted. -
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Gearbox
Web framework written in Go with a focus on high performance
gearbox is a web framework for building microservices written in Go with a focus on high performance. It's built on fast HTTP which is up to 10x faster than net/HTTP. -
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GeoStats.jl
An extensible framework for geospatial data science
GeoStats.jl is a Julia framework for geospatial data science and geostatistical modeling. It’s fully implemented in Julia and designed to provide an extensible, high-performance stack that handles spatial domains, interpolation, simulation, learning, and visualization. The package is modular: it breaks out geometry, spatial domains, transforms, variograms, covariance models, and modeling into subpackages (e.g., GeoStatsBase, GeoStatsModels, GeoStatsTransforms). Users can represent georeferenced tables (points + attributes), define domains (grids, meshes, structured/unstructured), and then apply geostatistical operations such as kriging, interpolation, simulation, variogram estimation, and learning-based prediction. Visualization is supported via integration with Makie.jl to produce spatial renderings, mesh visualizations, and variable overlays. -
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Git Extras
GIT utilities, repo summary, repl, changelog population, and more
GIT extra utilities, like repo summary, repl, changelog population, author commit percentages and more. Supports several sub-commands such as git-ignore, git-setup, git-summary, git-changelog, git-effort, etc. Some commands require extra dependencies which are unavailable in some platforms. You may need to install them manually. Note that only the Homebrew package is maintained by the git-extras developers directly. Other packages are maintained by the distribution's packagers or third-party volunteers. Installing from Homebrew will not give you the option omit certain git-extras if they conflict with existing git aliases. To have this option, build from source. -
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GitBucket
A Git platform powered by Scala
A Git platform powered by Scala with easy installation, high extensibility & GitHub API compatibility. GitBucket is a Git web platform powered by Scala offering, easy installation, intuitive UI, high extensibility by plugins, API compatibility with GitHub. You can also deploy gitbucket.war to a servlet container which supports Servlet 3.0 (like Jetty, Tomcat, JBoss, etc). To upgrade GitBucket, replace gitbucket.war with the new version, after stopping GitBucket. All GitBucket data is stored in HOME/.gitbucket by default. So if you want to back up GitBucket's data, copy the directory to the backup location. If you want to try the development version of GitBucket, or want to contribute to the project, please see the Developer's Guide. It provides instructions on building from source and on setting up an IDE for debugging. It also contains documentation of the core concepts used within the project. -
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GitUI
Blazing fast terminal-ui for git written in rust
GitUI provides you with the comfort of a git GUI but right in your terminal. I do most of my git work in a terminal but I frequently found myself using git GUIs for some use-cases like index, commit, diff, stash, blame, and log. Unfortunately, popular git GUIs all fail on giant repositories or become unresponsive and unusable. GUI provides you with the user experience and comfort of a git GUI but right in your terminal while being portable, fast, free and open source. The simplest way to start playing around with gitui is to have cargo build and install it with cargo install gitui. gitui should automatically work on both light and dark terminal themes. However, you can customize everything to your liking. Browse commit log, diff committed changes. Scalable terminal UI layout. Async git API for fluid control. -
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Gitnuro
A FOSS Git multiplatform client for newbies and pros
A FOSS Git client based on (Jetbrains) Compose and JGit. The main goal of Gitnuro is to provide a multiplatform open-source Git client without any kind of constraint to how you can use it or rely on web technologies. -
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Glamour
Stylesheet-based markdown rendering for your CLI apps
Stylesheet-based markdown rendering for your CLI apps. glamour lets you render markdown documents & templates on ANSI-compatible terminals. You can create your own stylesheet or simply use one of the stylish defaults. You can find all available default styles in our gallery. Want to create your own style? Learn how! There are a few options for using a custom style. Call glamour.Render(inputText, "desiredStyle") Set the GLAMOUR_STYLE environment variable to your desired default style or a file location for a style and call glamour.RenderWithEnvironmentConfig(inputText). Set the GLAMOUR_STYLE environment variable and pass glamour.WithEnvironmentConfig() to your custom renderer. -
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Gloo Gateway
The Feature-rich, Kubernetes-native, Next-Generation API Gateway
Gloo Gateway is a powerful Kubernetes-native ingress controller and API gateway that is based on the Kubernetes Gateway API. It excels in function-level routing, supports legacy apps, microservices and serverless, offers robust discovery capabilities, integrates seamlessly with open-source projects, and is designed to support hybrid applications with various technologies, architectures, protocols, and clouds. -
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Gluegun
A delightful toolkit for building TypeScript-powered command-line apps
Gluegun is a toolkit for building command-line interfaces (CLIs) in Node.js, offering a robust foundation with utilities and a plugin architecture. -
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GoJay
high performance JSON encoder/decoder with stream API for Golang
GoJay is a performant JSON encoder/decoder for Golang (currently the most performant, see benchmarks). It has a simple API and doesn't use reflection. It relies on small interfaces to decode/encode structures and slices. Gojay also comes with powerful stream decoding features and an even faster Unsafe API. There is also a code generation tool to make usage easier and faster. I looked at other fast decoders/encoders and realized it was mostly hardly readable static code generation or a lot of reflection had poor streaming features and were not so fast in the end. Also, I wanted to build a decoder that could consume an io.Reader of line or comma delimited JSON, in a JIT way. To consume a flow of JSON objects from a TCP connection for example or from a standard output. The same way I wanted to build an encoder that could encode a flow of data to a io.Writer. -
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Gonum
Set of numeric libraries for the Go programming language
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more. Gonum is a set of packages designed to make writing numerical and scientific algorithms productive, performant, and scalable. Gonum contains libraries for matrices and linear algebra; statistics, probability distributions, and sampling; tools for function differentiation, integration, and optimization; network creation and analysis; and more. We encourage you to get started with Go and Gonum if you are tired of sluggish performance, and fighting C and vectorization, and also if you are struggling with managing programs as they grow larger. Get Gonum if you want code to be fully transparent, and want the ability to read the source code you use. It is useful if you’d like a compiler to catch mistakes early, but hate fighting linker and unintelligible compile errors. -
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Google APIs Client Library for Go
Auto-generated Google APIs for Go
These are auto-generated Go libraries from the Google Discovery Service's JSON description files. Due to the auto-generated nature of this collection of libraries they may contain breaking changes from one release to the next. The generator itself and the code it produces are considered beta for this reason. These client libraries are officially supported by Google. However, the libraries are considered complete and are in maintenance mode. This means that we will address critical bugs and security issues but will not add any new features. If you're working with Google Cloud Platform APIs such as Datastore or Pub/Sub, please use the Cloud Client Libraries for Go instead. These are the new and idiomatic Go libraries targeted specifically at Google Cloud Platform Services. By default, each API will use Google Application Default Credentials for authorization credentials used in calling the API endpoints. -
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Google Maps SDK for Android Samples
Samples demonstrating how to use Maps SDK for Android
Create dynamic, interactive and personalized experiences with maps, locations and geospatial experiences for your Android apps. Create an account, generate an API key, and start creating. Learn how to load the Maps SDK for Android and add a map with a bookmark to your web application. You can customize almost all aspects of the map, such as routes, landforms and places of interest, among others. Find the current location of an Android device and display details of the place or other place of interest in that location. Add bookmarks to a map, interact with click events, customize color and image, and more. Displays an information window with additional data and context when users press a bookmark. Customize user interaction by configuring integrated UI components and gestures. Listen to events on the map, including clicks on maps, clicks on markers, camera changes, and overlay events, among others. -
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Goxygen
Generate a modern Web project with Go and Angular, React or Vue
Goxygen aims at saving your time while setting up a new project. It creates a skeleton of an application with all configurations done for you. You can start implementing your business logic straight away. Goxygen generates back-end Go code, connects it with front-end components, provides a Dockerfile for the application and creates docker-compose files for convenient run in development and production environments. By default, it will use React and MongoDB. You can select a different front-end framework and a database using --frontend and --db flags. Goxygen generates a basic structure of a project and doesn't force you to use a specific set of tools. That's why it doesn't bring unneeded dependencies to your project. It uses only a database driver on the back end side and Axios in React and Vue projects. Angular projects use only Angular-specific libraries. -
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Gradle Plugin for Node
Gradle plugin for integrating NodeJS in your build
gradle-node-plugin is a Gradle plugin that enables seamless integration of Node.js, npm, and Yarn within Gradle builds. It helps Java-based projects manage JavaScript dependencies and run Node.js tasks efficiently. -
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Gradle Release
Plugin for providing a Maven-like release process for Gradle projects
This Gradle plugin provides a Maven-like release workflow (gradle release). It automates version bumping, snapshot removal, build, tagging, branch switching, and next-version prompt—compatible with Git, SVN, Bazaar, and Mercurial. -
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GraphQL Kotlin
Libraries for running GraphQL in Kotlin
graphql-java is one of the most popular JVM-based GraphQL implementations. GraphQL Kotlin is built on top of grahpql-java as it can be easily extended with additional functionality and this implementation has been used and tested by many users. The most common way to create the schema in graphql-java is to first manually write the SDL file. Then write the runtime code that matches this schema to build the GraphQLSchema object. This means that there are two sources of truth for your schema and changes in either have to be reflected in both locations. As your schema scales to hundreds of types and many different resolvers, it can get more difficult to track what code needs to be changed if you want to add a new field, deprecate or delete an existing one, or fix a bug in the resolver code. graphql-kotlin-schema-generator aims to simplify this process by using Kotlin reflection to generate the schema for you. All you need to do is write your schema code in a Kotlin class. -
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GraphQL for .NET
This is an implementation of Facebook's GraphQL in .NET
GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. GraphQL isn't tied to any specific database or storage engine and is instead backed by your existing code and data. A GraphQL service is created by defining types and fields on those types, then providing functions for each field on each type. All packages generated from this repository come with embedded pdb and support Source Link. If you are having difficulty understanding how the code works or have encountered an error, then it is just enough to enable Source Link in your IDE settings. Then you can debug GraphQL.NET source code as if it were part of your project. The Schema first approach relies upon the GraphQL schema language, coding conventions, and tries to provide a minimal amount of syntax. It is the easiest to get started though it does not currently support some advanced scenarios. -
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GraphQL in Go
An implementation of GraphQL for Go / Golang
An implementation of GraphQL in Go. Supports queries, mutations & subscriptions. Middleware to handle GraphQL queries through HTTP requests. Lib to construct a graphql-go server supporting react-relay. Barebones starting point for a Relay application with Golang GraphQL server. DataLoader implementation in Go.
