Frameworks for Linux

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  • 1
    Beagle is a Java lightweight framework to fetch database entries in an optimized data structure.It can be useful in those application that need to a fast data access.It is designed around Agile Methodologies with pattern of Test Driven Development.
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  • 2
    BeanBin is a utility for persisting EJB 3.0 Entity beans in JBoss. It works without the need of any xml configuration (except for database connectivity) and it generates all the nessessary JPA-QL. See www.beanbin.org
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  • 3
    BeanKeeper is a full featured, powerful object/relational persistence and query library for Java.
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  • 4
    BeanPlanet is a Java Enterprise application framework, applicable to many projects and covering all aspects of web application and standalone application development.
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    Veeam Data Platform v13.1

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  • 5
    BeanPot is a very simple Java bean container with dependency injection based on an XML configuration file. Think of it as a mini-Spring. It depends on a small subset of Apache Jakarta Commons utilities, in particular commons-configuration.
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  • 6
    BeanValidator is a framework for declarative validation of Java(TM) Beans and EJB3 POJOs that integrates can be used standalone or together with JSF and and JBoss(TM) Seam.
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  • 7
    BeanView is a Java library for seamlessly rendering a JavaBean to a form and back. It includes a specification for the model and also implementation[s] for Swing and Echo 2.0.
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  • 8
    Beatrix: A malicious code analysis framework
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  • 9
    Bedrock Framework

    Bedrock Framework

    High performance, low level networking APIs

    Bedrock Framework is a set of low-level .NET networking APIs for building high-performance custom servers and clients. Its architecture focuses on transport-agnostic communication so protocols are not tightly coupled to a specific network mechanism. Builder APIs provide structured ways to configure client and server pipelines. The core package includes middleware and transports for sockets and in-memory communication. A separate experimental package contains protocol and transport implementations that may eventually move into the main framework. The project builds on connection abstractions introduced in ASP.NET Core for client-server communication. It is primarily intended for developers creating specialized networking stacks where performance, protocol control, and composability matter.
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    Fully Managed MySQL, PostgreSQL, and SQL Server

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  • 10
    Bee Agent Framework

    Bee Agent Framework

    The framework for building scalable agentic applications

    Open-source framework for building, deploying, and serving powerful agentic workflows at scale. The Bee Agent Framework makes it easy to build scalable agent-based workflows with your model of choice. The framework is been designed to perform robustly with IBM Granite and Llama 3.x models, and we’re actively working on optimizing its performance with other popular LLMs. Our goal is to empower developers to adopt the latest open-source and proprietary models with minimal changes to their current agent implementation.
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  • 11
    The Bee Framework is a PHP 5 DI/IoC application framework based on the popular Spring Framework, bringing - among other features - XML-configured declarative Dependency Injection and a powerful MVC framework to PHP.
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  • 12
    A framework for developing PHP applications, designed to be able to use a variety of templating engines, including Smarty.
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  • 13
    Beego

    Beego

    Open source framework to build & develop applications in the Go way

    Beego is an open source, high-performance web framework for building and developing applications in Go. Beego offers plenty of superb features, including RESTful support, MVC architecture, powerful built-in modules, intelligent routing and monitoring, plus Go-specific features like interfaces and struct embedding. Beego is very easy to use. Features like code hot compile, automated testing, as well as automated packing and deploying allow you to build your applications in a snap. Beego can be used for the rapid development of RESTful APIs, web apps and backend services that are written in Go.
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  • 14
    Wireless telecommunication framework based on Jabber protocol, targeting JME (known before as J2ME) enabled devices.
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  • 15
    Beerus

    Beerus

    Beerus is a web framework developed entirely in go,

    Beerus is a web framework developed entirely in go, Based on net/http, it extends the management of routes, adds interceptors, session management, receiving parameters with struct, parameter validation, etc. It also provides WebSocket support to upgrade the http protocol to WebSocket and implement communication.
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  • 16
    Behat

    Behat

    BDD in PHP

    Behat is a Behavior-Driven Development (BDD) framework for PHP that helps developers write tests in a human-readable format. It uses Gherkin syntax to describe expected application behavior and allows developers to write scenarios that map to automated tests. Behat is highly extensible, making it suitable for testing both web applications and APIs, and it is often used alongside Mink for browser automation.
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  • 17

    Behavior Control Network

    Behavior-Based Robotics framework

    A simple framework to develop behavior-based control systems for autonomous robots which relies on Webots simulator.
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  • 18
    Behaviour Control Framework

    Behaviour Control Framework

    A C++ framework that uses inhibition trees for behaviour control.

    The Behaviour Control Framework is a generic platform-independent C++ framework that implements a control architecture consisting of a hierarchical network of behaviour layers. These layers each contain behaviours that can inhibit one another and interact to achieve control. A full discussion of the structure and ideas behind this framework can be found in the Doxygen documentation that comes with the release. This documentation is well worth a read before you decide if the library is for you! The structure and implementation of this library focuses on the application of the inhibition-based behaviour control architecture to real-time control loops, but can reasonably be adapted for a wide variety of other artificial intelligence applications. Emphasis has been placed on having very low overhead so as not to hurt overall system performance, while still maintaining ease of use. I welcome all feedback, suggestions and bug reports! Email: pallgeuer[at]ais.uni-bonn.de
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  • 19
    Ben.Demystifier

    Ben.Demystifier

    High performance understanding for stack traces

    High-performance understanding for stack traces (Make error logs more productive). Output the modern C# 7.0+ features in stack traces that looks like the C# source code that generated them rather than IL formatted. .NET stack traces output the compiler transformed methods; rather than the source code methods, which make them slow to mentally parse and match back to the source code. The current output was good for C# 1.0; but has become progressively worse since C# 2.0 (iterators, generics) as new features are added to the .NET languages and at C# 7.1 the stack traces are esoteric. Output the modern C# 7.0+ features in stack traces in an understandable fashion that looks like the C# source code that generated them. Resolves the stack back to the C# source format of the calls (and is an inspectable list of stack frames)
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  • 20
    BenchmarkTools.jl

    BenchmarkTools.jl

    A benchmarking framework for the Julia language

    BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results. This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. Our story begins with two packages, "Benchmarks" and "BenchmarkTrackers". The Benchmarks package implemented an execution strategy for collecting and summarizing individual benchmark results, while BenchmarkTrackers implemented a framework for organizing, running, and determining regressions of groups of benchmarks. Under the hood, BenchmarkTrackers relied on Benchmarks for actual benchmark execution.
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  • 21
    BentoML

    BentoML

    Unified Model Serving Framework

    BentoML simplifies ML model deployment and serves your models at a production scale. Support multiple ML frameworks natively: Tensorflow, PyTorch, XGBoost, Scikit-Learn and many more! Define custom serving pipeline with pre-processing, post-processing and ensemble models. Standard .bento format for packaging code, models and dependencies for easy versioning and deployment. Integrate with any training pipeline or ML experimentation platform. Parallelize compute-intense model inference workloads to scale separately from the serving logic. Adaptive batching dynamically groups inference requests for optimal performance. Orchestrate distributed inference graph with multiple models via Yatai on Kubernetes. Easily configure CUDA dependencies for running inference with GPU. Automatically generate docker images for production deployment.
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  • 22
    Besu Ethereum Client

    Besu Ethereum Client

    An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client

    You can use Besu to develop enterprise applications requiring secure, high-performance transaction processing in a private network. A private network is a network not connected to Ethereum Mainnet or an Ethereum testnet. Private networks typically use a different chain ID and proof of authority consensus (QBFT, IBFT 2.0, or Clique). You can also create a local development network using proof of work (Ethash). Instructions for how to get started with developing on the Besu codebase. Please also read the wiki for more details on how to submit a pull request (PR). Besu is an Apache 2.0 licensed, MainNet compatible, Ethereum client written in Java. Participation in private networks is typically restricted in some way, so the volume of traffic is much lower than on Mainnet, resulting in lower system requirements. Depending on your environment and network setup, the minimum Java Virtual Machine (JVM) memory requirement for private networks is 4 GB.
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  • 23
    BetaGFX

    BetaGFX

    Gethur Framework Xtreme

    PT_BR: O GFX é um conjunto de classes e ferramentas desenvolvidas em PHP e JavaScript para gerar pequenos cadastros de forma rápida e eficiente. EN: The GFX is a collection of classes and tools developed in PHP and JavaScript to create smaller entries quickly and efficiently.
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  • 24
    Better Stack JavaScript client

    Better Stack JavaScript client

    Better Stack JavaScript client

    Logtail is now part of Better Stack. Better Uptime and Logtail have been rebranded as Uptime and Logs on the Better Stack platform. Our mission is to help developers in building a better internet. And we believe that with the new fully integrated Better Stack platform, we’re simplifying the experience for the developers leveraging Better Stack even further. Formerly Logtail, lets you visualize your entire stack, turn your logs into structured data, and query everything like a single database with SQL. Customize retention per source to retain and query everything you want. No need to archive your logs to S3 anymore. Search all your logs anytime. See what metrics your teammates are looking at, comment on note-worthy data spikes and share log fragments with one click. Building a great software is a multiplayer game. Get answers fast with a powerful SQL query builder. No need to learn a new querying language or ask your data analyst.
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  • 25
    Better Swing Application Framework
    This is a fork of the Swing Application Framework (JSR 296). The BSAF project official home is at http://kenai.com/projects/bsaf - all source code repositories, discussion lists, forums and resources are hosted at Kenai.
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