Frameworks for Linux

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  • 1
    Anna is lightweight Java framework to build pipeline systems of any kind. It will take care of recurrent needs such as dependency management, data serialisation and synchronization as well as parallelization of execution.
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  • 2
    Un sistema formato da server, client, linguaggio di script, controllo versione e distribuzione automatica. Tutto questo per creare applicazioni di tipo enterprise che lavorino principalmente con database.
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  • 3
    The Annotated Object Validator provides a mechanism for writing validators for any Object using Java Annotations. This allows for complex, reusable validation code to be constructed and applied to Fields and Classes with a minimum amount of effort.
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  • 4
    Ever wanted to create notes for pages on the web and be able to share them? This framework allows to create annotations to XML and HTML documents. Annotations are independent of presentation and can be traced back even if part of the document changed.
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  • 5
    Anokha is a MVC web framework based on Java/J2EE technology that simplify the enterprise application development by providing a set of presentation and business tier components being J2EE-API independent and high extensible. Easy to use and learn.
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  • 6
    Another Charts API

    Another Charts API

    API for the Another Charts exchange quotation analysis software

    GPL'ed API for the commercial, closed source Another Charts exchange quotation analysis software. http://anothercharts.net
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  • 7
    Our aim is to create a collection of useful and free Ansi C libraries of code that are portable around systems.
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  • 8
    The AntHill Diameter networking library that implements Diameter protocol (RFC 3588, 4004, 4005, 4006, 4072 & 4720) and simplifies different fail over and scaling functionality based on AntHill library. It contains DumpViewer and Shell and etc.
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  • 9
    Antares is a PHP Framework, which focuses on organic rapid application development. Unlike most PHP frameworks, Antares provides non intrusive solution to the MVC paradigm. Please join our community at http://antares-project.org/forum/
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  • 10
    Antidoto is a java technology mashup providing building blocks for modular architectures. Antídoto is the portuguese word for antidote. An antidote is a substance which can counteract a form of poisoning.
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  • 11
    Anymail

    Anymail

    Django email backends and webhooks for Amazon SES, Mailgun, Mailjet

    Anymail lets you send and receive email in Django using your choice of transactional email service providers (ESPs). It extends the standard django.core.mail with many common ESP-added features, providing a consistent API that avoids locking your code to one specific ESP (and making it easier to change ESPs later if needed). Integration of each ESP’s sending APIs into Django’s built-in email package, including support for HTML, attachments, extra headers, and other standard email features. Extensions to expose common ESP-added functionality, like tags, metadata, and tracking, with code that’s portable between ESPs. Inbound message support, to receive email through your ESP’s webhooks, with simplified, portable access to attachments and other inbound content. Anymail maintains compatibility with all Django versions that are in mainstream or extended support, plus (usually) a few older Django versions, and is extensively tested on all Python versions supported by Django.
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  • 12
    Apache Beam

    Apache Beam

    Unified programming model for Batch and Streaming

    Apache Beam is an open source, unified programming model to define both batch and streaming data-parallel processing pipelines, as well as certain language-specific SDKs for constructing pipelines and Runners. These pipelines are executed on one of Beam’s supported distributed processing back-ends, which include Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Beam is especially useful for Embarrassingly Parallel data processing tasks, and caters to the different needs and backgrounds of end users, SDK writers and runner writers.
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  • 13
    Apache Cocoon 2.2 Beispiele die im Buch "Apache Cocoon" im dPunkt Verlag beschrieben werden. Beispiele können auch unabhängig vom Buch den Einstieg in Cocoon erleichtern.
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  • 14
    Apache Dubbo

    Apache Dubbo

    A high performance Java RPC framework

    Apache Dubbo is a high performance, lightweight, open source RPC framework written in Java. It offers three key functionalities: interface based remote call, load balancing and fault tolerance, and automatic service registration and discovery. Apache Dubbo is built to support multiple service registries and load balancing strategies right out of the box. Due to its micro-kernel and plugin design it can also be easily extended through third-party implementations. Plenty of companies are using Dubbo, and are helping to continually improve it through Dubbo’s improvement initiative, “Wanted: who’s using dubbo”.
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  • 15
    Apache MXNet (incubating)

    Apache MXNet (incubating)

    A flexible and efficient library for deep learning

    Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable.
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  • 16
    Apache PredictionIO

    Apache PredictionIO

    Machine learning server for developers and ML engineers

    Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; support machine learning and data processing libraries such as Spark MLLib and OpenNLP; implement your own machine learning models and seamlessly incorporate them into your engine; simplify data infrastructure management.
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  • 17
    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments.
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  • 18
    Apache Shiro

    Apache Shiro

    Apache Shiro

    Apache Shiro is a powerful and easy-to-use Java security framework that performs authentication, authorization, cryptography, and session management. With Shiro’s easy-to-understand API, you can quickly and easily secure any application, from the smallest mobile applications to the largest web and enterprise applications.
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  • 19
    Apache::ASP provides an Acitve Server Pages port for the Apache web server using Perl as the scripting language.
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  • 20
    Apache::Session - A persistence Perl framework for session data
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  • 21
    Apcl is educational project trying to build portable c++ common library with some useful functions and classes.
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  • 22
    This is a Linux C++ Framework for a lot of stuff like Network, GUI and more
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  • 23
    The Apenmool Framework is a generative programming system to faciliate rapid application development. The specifications of a project are stored in XML and Java files. A code generator is then used to build the application in a variety of configurations.
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  • 24
    Apiato

    Apiato

    PHP Framework for building scalable API's on top of Laravel

    The open-source flawless framework for building scalable and testable API-Centric Apps with PHP and Laravel. Authentication with OAuth2.0 for first/third-party clients (using Laravel Passport). Role-Based Access Control (RBAC), seeded with a Super Admin, Roles, and Permissions. Query Parameters support (orderBy, sorted, and filter) with full-text search. Useful Endpoints for managing users, roles/permissions, tokens, and more. API Documentations generator, to generate API docs from PHP Docblock using ApiDocJS (provided by Documentation Container). Supports CORS (Cross-Origin Resource Sharing) and JSONP (JSON with padding). Auto encoding/decoding of real IDs, to prevent exposing real ids to the outer world. API Throttling (rate-limiting to control the rate of traffic received and protect your server). Support Data Caching (with auto clearing on Create, Update, and Delete). API versioning in the URL or Header (versioning based on the route file name).
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  • 25
    Java Enterprise Application which provides web services and database persistence models using JEE standards such as JAX-WS and JPA, using dependency injection provided by Spring Framework. Designed to serve as starting point for JEE development.
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