Search Results for "phantom"
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Showing 4 open source projects for "phantom"
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Yandex Tank
Load and performance benchmark tool
Yandex.Tank is an extensible open-source load testing tool for advanced Linux users which is especially good as a part of an automated load testing suite. Different load generators are supported. Evgeniy Mamchits' phantom is a very fast (100 000+ RPS) shooter written in C++ (default) JMeter is an extendable and widely known one. BFG is a Python-based generator that allows you to write your load scenarios in Python. Experimental Golang generator: pandora. Performance analytics backend service: Overload. Store and analyze your test results online. ... -
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Kickstart
Kickstart is a CSS library designed for modularity and fast page
Kickstart's CSS is only 80kb and even smaller when you roll your own from the Sass mixins. Not only is the Kickstart JS smaller than Bootstrap and Foundation, it also doesn't require jQuery--drastically reducing page load times. Kickstart has been used in production websites for over three years. Kickstart is a library, not a framework. This means you only use the CSS you need instead of slowing down your site with a complete UI library. Look how easy it is to create this Navbar. Most... -
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A small, but realy needed library that realized more important thinks oriented to WEB development on J2SE and JSP technology. Library provide not realized thinks in strings and streams, soft reference cache and other for JDK 1.4.
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This project contains an component to building JDO applications with Castor (http://castor.exolab.org/). It's allow easy using of mappings with building OQL queries.
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