Showing 4 open source projects for "python libraries"

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  • 1
    pipx

    pipx

    Install and run Python applications in isolated environments

    pipx is a tool to help you install and run end-user applications written in Python. It's roughly similar to macOS's brew, JavaScript's npx, and Linux's apt. It's closely related to pip. In fact, it uses pip, but is focused on installing and managing Python packages that can be run from the command line directly as applications. pip is a general-purpose package installer for both libraries and apps with no environment isolation. pipx is made specifically for application installation, as it adds isolation yet still makes the apps available in your shell: pipx creates an isolated environment for each application and its associated packages. pipx does not ship with pip, but installing it is often an important part of bootstrapping your system. ...
    Downloads: 15 This Week
    Last Update:
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  • 2
    Playwright for .NET

    Playwright for .NET

    .NET version of the Playwright testing and automation library

    Playwright for .NET is the official language port of Playwright, the library to automate Chromium, Firefox and WebKit with a single API. Playwright is built to enable cross-browser web automation that is ever-green, capable, reliable and fast. Cross-browser. Playwright supports all modern rendering engines including Chromium, WebKit, and Firefox. Cross-platform. Test on Windows, Linux, and macOS, locally or on CI, headless or headed. Cross-language. Use the Playwright API in TypeScript,...
    Downloads: 8 This Week
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  • 3

    PyLoris

    A protocol agnostic application layer denial of service attack.

    PyLoris is a scriptable tool for testing a server's vulnerability to connection exhaustion denial of service (DoS) attacks. PyLoris can utilize SOCKS proxies and SSL connections, and can target protocols such as HTTP, FTP, SMTP, IMAP, and Telnet.
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    Downloads: 28 This Week
    Last Update:
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  • 4

    Java/C Comparative Benchmarks

    Java and C Comparative Performance Benchmarks

    A collection of software benchmarks developed to compare the performance of Java with C on identical code. No language libraries were used to avoid implementation differences. Some of the benchmarks are also implemented in Python and Scala. There are benchmarks for bit twiddling, numerical computing, data structure manipulation, concurrent computing, callouts to native libraries, and, graphics processing units (GPU) utilization.
    Downloads: 0 This Week
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