Showing 10 open source projects for "regression"

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  • 1
    Selenium

    Selenium

    Browser automation framework and ecosystem

    ...Primarily it is for automating web applications for testing purposes, but is certainly not limited to just that. Boring web-based administration tasks can (and should) also be automated as well. If you want to create robust, browser-based regression automation suites and tests, scale and distribute scripts across many environments, then you want to use Selenium WebDriver, a collection of language specific bindings to drive a browser - the way it is meant to be driven. If you want to create quick bug reproduction scripts, create scripts to aid in automation-aided exploratory testing, then you want to use Selenium IDE; a Chrome and Firefox add-on that will do simple record-and-playback of interactions with the browser. ...
    Downloads: 55 This Week
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  • 2
    drf-yasg

    drf-yasg

    Automated generation of real Swagger/OpenAPI 2.0 schemas

    ...Support of old versions is dropped immediately with the release of a new version. Please do not create issues before upgrading to the latest release available at the time. Regression reports are accepted and will be resolved with a new release as quickly as possible. Removed features will usually go through a deprecation cycle of a few minor releases. If you are looking to add Swagger/OpenAPI support to a new project you might want to take a look at drf-spectacular, which is an actively maintained new library that shares most of the goals of this project, while working with OpenAPI 3.0 schemas. ...
    Downloads: 0 This Week
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  • 3
    Oh My Fish

    Oh My Fish

    The Fish Shell Framework

    Oh My Fish provides core infrastructure to allow you to install packages which extend or modify the look of your shell. It's fast, extensible and easy to use. Due to a regression bug in fish 2.6 with some terminal emulators, right prompts make the shell unusable. When called without arguments, update core and all installed packages. You can choose to update only the core, by running omf update omf. For selective package update, list only the names of packages you wish to update. You may still include "omf" in the list to update the core as well. ...
    Downloads: 1 This Week
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  • 4
    Gatling

    Gatling

    Modern Load Testing as Code

    Gatling is a high-performance load testing tool built on the JVM that emphasizes realism, scalability, and developer ergonomics. Test scenarios are scripted in a concise Scala-based DSL, allowing you to model user journeys with think times, feeders (dynamic data), checks, and assertions all in code. Its asynchronous, non-blocking engine (backed by Netty) can drive very high concurrency from a single injector, reducing the need for large injector farms. Gatling supports HTTP out of the box as...
    Downloads: 3 This Week
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    Apache Spark

    Apache Spark

    A unified analytics engine for large-scale data processing

    Apache Spark is a unified engine for large-scale data processing, offering APIs for batch jobs, streaming, machine learning, and graph computation. It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming...
    Downloads: 4 This Week
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  • 6
    FATE

    FATE

    An industrial grade federated learning framework

    ...It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms, deep learning and transfer learning. FATE became open-source in February 2019. FATE TSC was established to lead FATE open-source community, with members from major domestic cloud computing and financial service enterprises. FedAI is a community that helps businesses and organizations build AI models effectively and collaboratively, by using data in accordance with user privacy protection, data security, data confidentiality and government regulations.
    Downloads: 0 This Week
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  • 7
    stkpp

    stkpp

    C++ Statistical ToolKit

    STK++ (http://www.stkpp.org) is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions (http://cran.at.r-project.org/web/packages/rtkore/index.html). At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites.
    Downloads: 0 This Week
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  • 8
    FluentLenium

    FluentLenium

    FluentLenium is a web & mobile automation framework

    ...FluentLenium best integrates with AssertJ, but you can also choose to use the assertion framework you want. FluentLenium gives you multiple methods which help you write tests quicker. All those methods are tested daily by commercial regression test suites maintained by project developers.
    Downloads: 0 This Week
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  • 9
    CloudTest-Cloud java unit test framework

    CloudTest-Cloud java unit test framework

    A redefined framework with new approach and methodology for unit test

    CloudTest is a redefined unit testing approach and methodology, which can make your testing jobs become much more easy and efficient. It is a pure java lightweight framework integrated test cases management, test data management, assert management, automation regression, performance monitor and test report in one.
    Downloads: 0 This Week
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  • 10
    Accord.NET Framework

    Accord.NET Framework

    Machine learning, computer vision, statistics and computing for .NET

    The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. The Accord.NET project provides...
    Downloads: 1 This Week
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