Open Source Linux Frameworks - Page 34
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Frameworks for Linux
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Sprig
Useful template functions for Go templates
The Go language comes with a built-in template language, but not very many template functions. Sprig is a library that provides more than 100 commonly used template functions. It is inspired by the template functions found in Twig and in various JavaScript libraries, such as underscore.js. Sprig leverages mergo to handle merges. In its v0.3.9 release, there was a behavior change that impacts merging template functions in sprig. It is currently recommended to use v0.3.10 or later of that package. Using v0.3.9 will cause sprig tests to fail. v3 is currently stable release series on the master branch. The Go API should remain compatible with v2, the current stable version. Behavior change behind some functions is the reason for the new major version. By convention, all functions are lowercase. This seems to follow the Go idiom for template functions (as opposed to template methods, which are TitleCase). -
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Spring Data JPA
Simplifies the development of creating a JPA-based data access layer
Spring Data JPA, part of the larger Spring Data family, makes it easy to easily implement JPA-based repositories. This module deals with enhanced support for JPA-based data access layers. It makes it easier to build Spring-powered applications that use data access technologies. Implementing a data access layer of an application has been cumbersome for quite a while. Too much boilerplate code has to be written to execute simple queries as well as perform pagination, and auditing. Spring Data JPA aims to significantly improve the implementation of data access layers by reducing the effort to the amount that’s actually needed. As a developer, you write your repository interfaces, including custom finder methods, and Spring will provide the implementation automatically. Pagination support, dynamic query execution, ability to integrate custom data access code. -
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Spring Data Neo4j
Provide support to increase developer productivity in Java
Spring Data Neo4j, part of the larger Spring Data family, provides easy configuration and access to Neo4j Graph Databases from Spring applications. It offers three different levels of abstraction to access the store. The Neo4j client, the Neo4j Template, and the Neo4j Repositories. Spring Data Neo4j offers advanced features to map annotated entity classes to the Neo4j Graph Database. The template programming model is equivalent to other Spring templates and builds the basis for interaction with the graph and is also used for the Spring Data repository support. Spring Data Neo4j is a core part of the Spring Data project which aims to provide convenient data access for NoSQL databases. Spring Data builds on Spring Framework, check the spring.io web-site for a wealth of reference documentation. If you are just starting out with Spring, try one of the guides. -
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Spring Statemachine
Framework for application developers to use state machine concepts
The Spring Statemachine project aims to provide a common infrastructure to work with state machine concepts in Spring applications. It is advised to check the actual state of this project by referring to the latest releases found on the Spring Statemachine Project Page. The git repo default branch may be relatively unstable when new features are added to the source code. Spring Statemachine uses a Gradle-based build system. In the instructions below, ./gradlew is invoked from the root of the source tree and serves as a cross-platform, self-contained bootstrap mechanism for the build. -
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Starlette
The little ASGI framework that shines
Starlette is a lightweight ASGI framework/toolkit, which is ideal for building async web services in Python. It is production-ready and gives you a lightweight, low-complexity HTTP web framework. WebSocket support. In-process background tasks. Startup and shutdown events. Test client built on httpx. CORS, GZip, Static Files, streaming responses. Session and Cookie support. 100% test coverage. 100% type annotated codebase. Few hard dependencies. Compatible with asyncio and trio backends. -
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StructuralEquationModels.jl
A fast and flexible Structural Equation Modelling Framework
This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. For those, you can decide to provide analytical gradients or use finite difference approximation / automatic differentiation. You can choose to mix loss functions natively found in this package and those you provide. In such cases, you optimize over a sum of different objectives (e.g. ML + Ridge). This strategy also applies to gradients, where you may supply analytic gradients or opt for automatic differentiation or mixed analytical and automatic differentiation. You may consider using this package if you need extensibility and/or speed, and if you want to extend SEM. -
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Sudomy
Sudomy is a subdomain enumeration tool to collect subdomains
Sudomy is a subdomain enumeration tool to collect subdomains and analyze domains performing advanced automated reconnaissance (framework). This tool can also be used for OSINT (Open-source intelligence) activities. Easy, light, fast and powerful. Bash script (controller) is available by default in almost all Linux distributions. By using bash script multiprocessing feature, all processors will be utilized optimally. Subdomain enumeration process can be achieved by using active method or passive method. Sudomy utilize Gobuster tools because of its highspeed performance in carrying out DNS Subdomain Bruteforce attack (wildcard support). The wordlist that is used comes from combined SecList (Discover/DNS) lists which contains around 3 million entries. By evaluating and selecting the good third-party sites/resources, the enumeration process can be optimized. More results will be obtained with less time required. -
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Symfony Asset
Manages URL generation and versioning of web assets
Symfony Asset is a component of the Symfony framework that manages URLs for web assets like CSS, JavaScript, and image files. It provides a simple and consistent way to generate URLs for static assets and helps manage versioning for cache busting. The Asset component is highly configurable and integrates seamlessly with other Symfony components, making it an essential tool for modern web applications. -
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Symfony Config
Helps you find, load, combine, autofill and validate configuration
Symfony Config is a component of the Symfony PHP framework designed to manage and organize configuration files and settings. It provides developers with tools to load, validate, and merge configuration files from various formats, including YAML, XML, and PHP arrays. The component is highly flexible and can be integrated into any PHP application, making it ideal for managing complex configuration structures and ensuring consistency across environments. -
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Synkra AIOS
AI-Orchestrated System for Full Stack Development
Synkra AIOS is the central framework of Synkra AIOS, an AI-orchestrated system built to streamline full-stack application development by using artificial intelligence to automate and enhance development workflows. It acts as a core foundation layer that connects AI-driven tooling with standard project infrastructure tasks, enabling developers to scaffold, configure, and maintain software stacks more efficiently. The framework includes features for project setup, environment configuration, deployment scaffolding, and intelligent code generation, potentially reducing time spent on boilerplate and repetitive engineering tasks. Synkra AIOS positions itself as a productivity middleware that integrates AI reasoning within traditional devops, front-end, and back-end workflows, allowing teams to produce production-ready applications faster. -
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TableExport
The simple, easy-to-implement library to export HTML tables to xlsx
The simple, easy-to-implement library to export HTML tables to xlsx, xls, csv, and txt files. To use this library, include the FileSaver.js library, and TableExport library before the closing body tag of your HTML document. In order to provide Office Open XML SpreadsheetML Format ( .xlsx ) support, you must include the following third-party library in your project before both FileSaver.js and TableExport. To support legacy browsers ( Chrome < 20, Firefox 13, Opera 12.10, IE, 10, Safari 6 ) include the Blob.js polyfill before the FileSaver.js script. Additional properties can be passed-in to customize the look and feel of your tables, buttons, and exported data. Notice that by default, TableExport will create export buttons for three different filetypes xls, csv, txt. You can choose which buttons to generate by setting the formats property to the filetype(s) of your choice. -
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Testcontainers
A library to support tests with throwaway instances of Docker
Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container. Use a containerized instance of a MySQL, PostgreSQL or Oracle database to test your data access layer code for complete compatibility, but without requiring complex setup on developers' machines and safe in the knowledge that your tests will always start with a known DB state. Any other database type that can be containerized can also be used. For running your application in a short-lived test mode with dependencies, such as databases, message queues or web servers. Use containerized web browsers, compatible with Selenium, for conducting automated UI tests. Each test can get a fresh instance of the browser, with no browser state, plugin variations or automated browser upgrades to worry about. And you get a video recording of each test session, or just each session where tests failed. -
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Testcontainers Go
Testcontainers for Go is a Golang library that provides a friendly API
Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done. -
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The Falcon Web Framework
The no-nonsense REST API and microservices framework
Falcon is a minimalist WSGI library for building speedy web APIs and app backends. We like to think of Falcon as the Dieter Rams of web frameworks. When it comes to building HTTP APIs, other frameworks weigh you down with tons of dependencies and unnecessary abstractions. Falcon cuts to the chase with a clean design that embraces HTTP and the REST architectural style. Highly optimized, extensible code base. Easy access to headers and bodies through request and response objects. DRY request processing via middleware components and hooks. Strict adherence to RFCs. Idiomatic HTTP error responses. Straightforward exception handling. Snappy testing with WSGI/ASGI helpers and mocks. CPython 3.5+ and PyPy 3.5+ support. No reliance on magic globals for routing and state management. Stable interfaces with an emphasis on backward compatibility. Simple API modeling through centralized RESTful routing. Highly-optimized, extensible code base. -
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The Optimism Monorepo
Optimism is Ethereum, scaled
Optimism is a low-cost and lightning-fast Ethereum L2 blockchain, but it's also so much more than that. Optimism is the technical foundation for the Optimism Collective, a band of communities, companies, and citizens united by a mutually beneficial pact to adhere to the axiom of impact=profit — the principle that positive impact to the collective should be rewarded with profit to the individual. We're trying to solve some of the most critical coordination failures facing the crypto ecosystem today. We're particularly focused on creating a sustainable funding stream for the public goods and infrastructure upon which the ecosystem so heavily relies but has so far been unable to adequately reward. We'd love for you to check out The Optimistic Vision to understand more about why we do what we do. Optimism is a fast, stable, and scalable L2 blockchain built by Ethereum developers, for Ethereum developers. -
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Throwback
An asynchronous middleware pattern
Simple asynchronous middleware pattern. -
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared memory in its default configuration. It will likely only work on an RTX 3090, an RTX 2080 Ti, or high-end enterprise GPUs. Lower-end cards must reduce the n_neurons parameter or use the CutlassMLP (better compatibility but slower) instead. tiny-cuda-nn comes with a PyTorch extension that allows using the fast MLPs and input encodings from within a Python context. These bindings can be significantly faster than full Python implementations; in particular for the multiresolution hash encoding. -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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Tracing Framework
Web Tracing Framework libraries and extensions
The Web Tracing Framework (WTF) is an open source suite of tools, libraries, and visualizers created by Google to help developers analyze and optimize the performance of complex web applications. By adding lightweight instrumentation to their code, developers can trace execution flow, identify bottlenecks, and detect performance regressions. The framework provides fine-grained insights into application behavior, making it particularly useful for achieving smooth, high-performance experiences, such as maintaining 60fps animations in web interfaces. It includes visualization tools that allow for detailed analysis of timing, resource usage, and event flow, enabling developers to diagnose and fix inefficiencies effectively. While still experimental, WTF is designed to be extensible and community-driven, encouraging contributions and adaptations for various types of web applications. -
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TransformationLayout
Transform between two Views, Activities, and Fragments
Transform views, activity, and fragments into other components with container transform animations. -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
Trellis is an advanced workflow and agent orchestration framework designed for building, managing, and scaling intelligent applications that coordinate numerous autonomous components. At its core, Trellis lets developers define units of work — called tasks or agents — and compose them into rich workflows that can operate with concurrency, conditional logic, and dynamic branching, all without sacrificing readability or control. It emphasizes modular design, encouraging users to encapsulate logic into reusable pieces that can be tested, versioned, and reused across projects. Trellis also includes tooling for monitoring, scheduling, and tracing the execution of complex multi-step jobs, helping teams maintain visibility into how work progresses and where bottlenecks emerge. The platform can integrate with external services, databases, and model endpoints, making it suitable for automation, ETL pipelines, AI-driven processes, and business logic orchestration. -
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Trixi.jl
Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs
Trixi.jl is a numerical simulation framework for hyperbolic conservation laws written in Julia. A key objective for the framework is to be useful to both scientists and students. Therefore, next to having an extensible design with a fast implementation, Trixi.jl is focused on being easy to use for new or inexperienced users, including the installation and postprocessing procedures. -
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Turbo
Turbo is a framework built for LuaJIT 2
Turbo.lua is a framework built for LuaJIT 2 to simplify the task of building fast and scalable network applications. It uses an event-driven, non-blocking, no-thread design to deliver excellent performance and minimal footprint to high-load applications while also providing excellent support for embedded uses. The toolkit can be used for HTTP REST APIs, traditional dynamic web pages through templating, open connections like WebSockets, or just as high-level building blocks for native speed network applications. First and foremost the framework is aimed at the HTTP(S) protocol. This means web developers and HTTP API developers are first-class citizens. But the framework contains generic nuts and bolts such as; an I/O loop, IO Stream classes, and customizable TCP (with SSL) server classes giving it value for everyone doing any kind of high-performance network application. -
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UIkit
Lightweight modular front-end framework for developing web interfaces
A lightweight and modular front-end framework for developing fast and powerful web interfaces. UIkit will work on pretty much any modern browser. Using UIkit works best if you have a solid code editor, for example Sublime Text or Atom. To be even more efficient, we recommend that you install one of the autocomplete plugins for your favorite IDE or code editor. This saves a lot of time, as you won't have to look up and type all UIkit classes and markup. To use UIkit's CSS and JavaScript, include the files in your own HTML and then create the markup of any of the components. When you have installed UIkit with Less sources, you can compile it and add your own custom theme. Less is the language that the UIkit styles are written in. This allows you to include customizations in the build process, rather than manually overwriting a lot of CSS rules by hand. -
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Uniqush
Uniqush is a free and open source software system
Uniqush is a free and open-source software system that provides a unified push service for server-side notification to apps on mobile devices. Uniqush is free and open-source software that provides a unified push service for server-side notification to apps on mobile devices. By running Uniqush on the server side, you can send push notifications to any supported mobile platform. Stand-alone server program dedicated to push service, which means you can run it on your own server. Multiple platforms are supported for popular smart phone systems including android, iOS, etc. And we will support more in the future. Simple and unified interface for Apps’ server developers. You don’t need to care about the receiver’s system, simply send an HTTP request to Uniqush server and it will do all things for you. No need to implement re-send on failure mechanisms, Uniqush will re-send the notification on a recoverable error whenever possible.
