Open Source Linux Frameworks - Page 23
Sort By:
Frameworks for Linux
View 89 business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
Flask JSONDash
Build complex dashboards without any front-end code
Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go. Easily configurable, chart dashboards from any arbitrary API endpoint. JSON config only. Ready to go. This project is a flask blueprint that allows you to create sleek dashboards without writing any front-end (or backend) code. Everything is powered through simple JSON configurations for declaring arbitrary charts. Leveraging popular libraries like C3.js and D3.js, and much more. Also supports templates and iframes. Only a basic intuitive configuration is required. The dashboard layout and blueprint styles are pre-packaged, and provide only the essentials, while getting out of the way. Drag-and-drop your layout easily and intuitively. Multiple layout modes - bootstrap grid-based or totally freeform. Data utilities for munging and manipulating data suitable for various charts. -
2
Flask-Caching
A caching extension for Flask
Flask-Caching is an extension to Flask that adds caching support for various backends to any Flask application. By running on top of cachelib it supports all of werkzeug’s original caching backends through a uniformed API. It is also possible to develop your own caching backend by subclassing flask_caching.backends.base.BaseCache class. Flask’s pluggable view classes are also supported. To cache them, use the same cached() decorator on the dispatch_request method. Using the same @cached decorator you are able to cache the result of other non-view related functions. The only stipulation is that you replace the key_prefix, otherwise it will use the request.path cache_key. Keys control what should be fetched from the cache. If, for example, a key does not exist in the cache, a new key-value entry will be created in the cache. Otherwise, the value (i.e. the cached result) of the key will be returned. -
3
Flask-Limiter
Rate Limiting extension for Flask
Flask-Limiter provides rate-limiting features to flask applications. It allows configuring various backends to persist the rate limits, which is provided by the limits library. Sponsored by Zuplo - fully-managed API Gateway with rate limiting, authentication, and more. Add rate limiting to your API in minutes, try it at zuplo.com Test it out. The fast endpoint respects the default rate limit while the slow endpoint uses the decorated one. ping has no rate limit associated with it. By adding the extension to your flask application, you can configure various rate limits at different levels (e.g. application wide, per Blueprint, routes, resource etc). To include extra dependencies for a specific storage backend you can add the specific backend name via the extras notation. -
4
Flask-SQLAlchemy
Adds SQLAlchemy support to Flask
Flask-SQLAlchemy is an extension for Flask that adds support for SQLAlchemy to your application. It simplifies using SQLAlchemy with Flask by setting up common objects and patterns for using those objects, such as a session tied to each web request, models, and engines. Flask-SQLAlchemy does not change how SQLAlchemy works or is used. See the SQLAlchemy documentation to learn how to work with the ORM in depth. The documentation here will only cover setting up the extension, not how to use SQLAlchemy. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
5
Flask-WTF
Simple integration of Flask and WTForms, including CSRF
Simple integration of Flask and WTForms, including CSRF, file upload, and reCAPTCHA. Integration with WTForms. Secure Form with CSRF token. Global CSRF protection. reCAPTCHA support. File upload that works with Flask-Uploads. Internationalization using Flask-Babel. -
6
Flower
Flower: A Friendly Federated Learning Framework
A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. Federated learning systems vary wildly from one use case to another. Flower allows for a wide range of different configurations depending on the needs of each individual use case. Flower originated from a research project at the University of Oxford, so it was built with AI research in mind. Many components can be extended and overridden to build new state-of-the-art systems. Different machine learning frameworks have different strengths. Flower can be used with any machine learning framework, for example, PyTorch, TensorFlow, Hugging Face Transformers, PyTorch Lightning, scikit-learn, JAX, TFLite, MONAI, fastai, MLX, XGBoost, Pandas for federated analytics, or even raw NumPy for users who enjoy computing gradients by hand. -
7
Foundation for Sites
The most advanced responsive front-end framework in the world
Foundation is the world’s most advanced responsive front-end framework that lets you go from prototype to production quickly and easily, with sites or apps that work on any device. Made up of very easy to style modular and flexible components, Foundation makes quick work of bringing your ideas to life. It’s got a fully customizable, responsive grid, a Sass based animation library, full accessibility support and a whole lot more. The latest version of Foundation has implemented a 50% code reduction, fewer and simpler base styles that you can easily modify to fit your needs, and is A11y friendly. To learn more about Foundation for Sites, visit the website: https://get.foundation/sites.html -
8
Freedom DDD Framework
Freedom is a hexagonal architecture-based framework
Freedom is a hexagonal architecture-based framework that underpins the hyperemic domain model paradigm. Integrated Iris. HTTP/H2C Server & Client. Integrating Prometheus. AOP Worker & Non-intrusive Context. Extensible component Infrastructure. Dependency Injection & Dependency Inversion & Open Closed Principle. DDD & Hexagonal Architecture. Domain Event & Message Queue Components. CQS & aggregate root. CRUD & PO Generate. Level 1 Cache & Level 2 Cache & Anti-breakdown. Scaffolding generates additions, deletions, modifications and persistent objects. -
9
Functions Framework for Node.js
FaaS (Function as a service) framework for writing portable Node.js
Functions Framework for Node.js is a lightweight runtime library that allows developers to write and run portable serverless functions locally or in cloud environments using standard Node.js. It provides a consistent execution model that mimics Google Cloud Functions, enabling developers to build, test, and debug functions on their local machine before deploying them to production. The framework supports multiple function signature types, including HTTP-based functions and event-driven functions, and automatically parses incoming request payloads into structured objects that can be easily consumed by application logic. It also includes support for CloudEvents, allowing seamless integration with event-driven architectures and modern cloud-native systems. By abstracting the underlying infrastructure, the framework enables developers to focus on business logic while maintaining compatibility with platforms like Cloud Run and Cloud Functions. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
GLAuth
A lightweight LDAP server for development, home use
Go-lang LDAP Authentication (GLAuth) is a secure, easy-to-use, LDAP server w/ configurable backends. Centrally manage accounts across your infrastructure. Centrally manage SSH keys, Linux accounts, and passwords for cloud servers. Lightweight alternative to OpenLDAP and Active Directory for development, or a homelab. Store your user directory in a file, local or in S3; SQL database; or proxy to existing LDAP servers. Two Factor Authentication (transparent to applications) Multiple backends can be chained to inject features. Use it to centralize account management across your Linux servers, your OSX machines, and your support applications (Jenkins, Apache/Nginx, Graylog2, and many more!). -
11
Geek Navigation
Navigation Station for Independent Developers!
Geek Ape Navigation. Navigation Station for Independent Developers! It originated from Tencent Navigation Station. At that time, when I first came into contact with the front end, I was looking for a website to imitate. This navigation station was born. The previous version added navigation to modify HTML, the JSON version solved the problem of managing navigation modification code, and managed all navigation in the form of managing JSON files. The management and navigation of the above version is still too cumbersome. Starting from this version, the database is used for management. The Vue family bucket is used in the front desk, the framework used by the server is Express, and the database is Mongodb. Vue dynamic navigation is a single-page method, which is very unfavorable for SEO optimization, so the Nuxt SSR method is used instead, which is also the biggest change in this version. -
12
Gemini
Gemini is rich scroll based animation framework for iOS,
Gemini is rich scroll-based animation framework for iOS, written in Swift. You can easily use GeminiCollectionView, which is a subclass of UICollectionView. It enables you to make multiple animations which has various and customizable properties and moreover can create your own custom scroll animation. Gemini also provides a fluent interface based on method chaining. you can use this intuitively and simply. Available for Roll, Pitch and Yaw animation. These rotation animations are designed based on 3-Dimensional vectors. Figure-1 shows the direction of rotation based on the device. Each type of rotation animation has RotationEffect (e.g. RollRotationEffect) and degree of rotation. Customize RotationEffect (up, down, sineWave, reverseSineWave) and degree of rotation. -
13
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. -
14
Ginkgo
BDD testing framework for Go
Ginkgo is a Go testing framework built to help you efficiently write expressive and comprehensive tests using Behavior-Driven Development (“BDD”) style. It is best paired with the Gomega matcher library but is designed to be matcher-agnostic. These docs are written assuming you’ll be using Gomega with Ginkgo. They also assume you know your way around Go and have a good mental model for how Go organizes packages under $GOPATH. Ginkgo is tested against Go v1.6 and newer To install Go, follow the installation instructions. An empty test suite is not very interesting. While you can start to add tests directly into books_suite_test.go you’ll probably prefer to separate your tests into separate files (especially for packages with multiple files). Ginkgo builds on Go's testing package, allowing expressive Behavior-Driven Development ("BDD") style tests. It is typically (and optionally) paired with the Gomega matcher library. -
15
Gitcoin Web
Grow Open Source
Grants Protocol aims to decentralize funding access, empowering any community to run their own grants program. We've helped thousands of projects and teams grow their open-source ecosystems. The internet has unlocked unprecedented opportunities for collaboration and creation. Now web3 technology like open-source protocols and decentralized blockchains give us the ability to take that co-creation to a new scale. The Gitcoin community uses this technology to fund and build digital public goods projects that serve everyone, and solve our most immediate problems. Open source code meets open economies. Build resilient projects, better coordination, and positive-sum outcomes. Growing networks with aligned incentives toward the wellbeing of each participant and the system as a whole. Through distributed funding and organizations, we build together toward our shared goals. -
16
Gluon CV Toolkit
Gluon CV Toolkit
GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. From fundamental image classification, object detection, semantic segmentation and pose estimation, to instance segmentation and video action recognition. The model zoo is the one-stop shopping center for many models you are expecting. GluonCV embraces a flexible development pattern while is super easy to optimize and deploy without retaining a heavyweight deep learning framework. -
17
Gnosis Safe Contracts
Gnosis Safe allows secure management of blockchain assets
The most trusted platform to manage digital assets on Ethereum. Access the most recent version of the Safe directly in your browser. Download the Safe as a static desktop application for Windows, MacOS or Linux. Conveniently manage your digital assets on the go. Fully customize how you manage your company crypto assets, with the option to require a predefined number of signatures to confirm transactions. Require multiple team members to confirm every transaction in order to execute it, which helps prevent unauthorized access to company crypto. Fully customize how you manage your personal crypto assets, with the option to require multiple devices to confirm transactions (hardware wallets, EOA-based wallets, paper wallets, or a combination of them). Safe supports ETH, ERC20 (Tokens) and ERC721 (NFTs). You can also see the fiat values of your assets. -
18
Go Chassis
A cloud native application framework for Go with rich eco-system
Go-Chassis is a microservice framework for the rapid development of microservices in Go. it focuses on helping developer to deliver cloud-native applications more easily. The idea of the logo is, developers can recreate and customize their own "wheel"(a framework) by going chassis to accelerate the delivery of software. Powerful middleware "handler chain": powerful than "filter" or "interceptor". each handler in the chain is able to get the running result of the backward handler and your business logic. It is very useful in a variety of scenarios. Go Chassis is designed as a protocol-independent framework, any protocol is able to integrate with go chassis and leverage the same functions like load balancing, circuit breaker, rate limiting, and routing management, those functions are resilient to your service. Support Service center, kubernetes. fit both client side discovery and server side discovery pattern, and you can disable service discovery to use end to end communication. -
19
Go Imagick
Go binding to ImageMagick's MagickWand C API
Go Imagick is a Go bind to ImageMagick's MagickWand C API. The default installation path of msys2 is C:\msys64 and you must change <msys64> to your installation path of msys2. The MAGICK_CODER_MODULE_PATH environment variable tells ImageMagick where to find the decoders. If you still get the NoDecodeDelegateForThisImageFormat error, then make sure the version number and folders are correct. If you want to specify CGO_CFLAGS/CGO_LDFLAGS manually at build time, such as for building statically or without pkg-config, you can use the "no_pkgconfig" build tag. As per the ImageMagick C API, Initialize() should be called only once to set up the resources for using ImageMagick. This is typically done in your main() or init() for the entire application or library. Applications can defer a call to Terminate() to tear down the ImageMagick resources. -
20
GoFrame
GoFrame is a modular, powerful, high-performance development framework
GoFrame is a modular, powerful, high-performance, and enterprise-class application development framework of Golang. Modular, loosely coupled design, rich components, out-of-the-box, automatic codes generating for efficiency, simple and easy to use, detailed documentation, interface designed components, with high scalability, fully supported tracing and error stack feature, specially developed and powerful ORM component. Robust engineering design specifications, convenient development CLI tool provide, OpenTelemetry observability features support, OpenAPIV3 documentation generating, automatically, and much, much more...ready to explore? -
21
Goa
Design-based APIs and microservices in Go
Goa takes a different approach to building services by making it possible to describe the design of the service API using a simple Go DSL. Goa uses the description to generate specialized service helper code, client code and documentation. Goa is extensible via plugins, for example the goakit plugin generates code that leverage the Go kit library. The service design describes the transport independent layer of the services in the form of simple methods that accept a context and a payload and return a result and an error. The design also describes how the payloads, results and errors are serialized in the transport (HTTP or gRPC). For example a service method payload may be built from an HTTP request by extracting values from the request path, headers and body. This clean separation of layers makes it possible to expose the same service using multiple transports. It also promotes good design where the service business logic concerns are expressed and implemented separately. -
22
Gorse Recommender System Engine
An open source recommender system service written in Go
An open-source recommender system service written in Go. Recommend items from Popular, latest, user-based, item-based and collaborative filtering. Search the best recommendation model automatically in the background. Support horizontal scaling in the recommendation stage after single node training. Support Redis, MySQL, Postgres, MongoDB, and ClickHouse as its storage backend. Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from recently inserted feedback. Provide GUI for data management, system monitoring, and cluster status checking. Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services. By importing items, users and interaction data into Gorse, the system will automatically train models to generate recommendations for each user. -
23
Grails
Grails - the Web Application Framework
Grails is an open‑source, full‑stack web application framework built on the Groovy language and the Java platform. It emphasizes “coding by convention” to streamline development by reducing configuration, leveraging Spring Boot, Hibernate, and integrated DSLs for rapid productivity. Supports expressive DSLs for validation, querying, and view rendering. High‑productivity web framework adopting “coding by convention” paradigm. Rich IDE support across IntelliJ IDEA, Eclipse, Sublime, and NetBeans. Asynchronous and reactive programming support via Promises and RxJava. -
24
GraphQL.js
A reference implementation of GraphQL for JavaScript
The JavaScript reference implementation for GraphQL, a query language for APIs created by Facebook. GraphQL.js is a general-purpose library and can be used both in a Node server and in the browser. As an example, the GraphiQL tool is built with GraphQL.js! Building a project using GraphQL.js with webpack or rollup should just work and only include the portions of the library you use. This works because GraphQL.js is distributed with both CommonJS (require()) and ESModule (import) files. Ensure that any custom build configurations look for .mjs files! For practical applications, you'll probably want to run GraphQL queries from an API server, rather than executing GraphQL with a command line tool. GraphQL.js provides two important capabilities: building a type schema and serving queries against that type schema. -
25
Halfmoon
Front-end framework with a built-in dark mode
Front-end framework with a built-in dark mode and full customizability using CSS variables; great for building dashboards and tools. Halfmoon is a responsive front-end framework that is great for building dashboards and tools. Built-in dark mode, full customizability using CSS variables (around 1,500 variables), optional JavaScript library (no jQuery), Bootstrap-like classes, and cross-browser compatibility (including IE11). Halfmoon comes with a built-in, toggleable dark mode, which is one of its most important and defining features. The framework is built entirely using CSS variables (also known as CSS custom properties). There are close to 1,500 CSS variables, which means that almost everything can be customized by overriding a property, making it very easy to theme Halfmoon to fit your brand. Learn more about customization. The components have a very standard look and feel to them, making them suitable for dashboards and tools.
