Search Results for "android application development" - Page 2
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Showing 30 open source projects for "android application development"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Moihack Port-Flooder
A simple TCP/UDP Port Flooder written in Python.
This is a simple Port Flooder written in Python 3.2 Use this tool to quickly stress test your network devices and measure your router's or server's load. Features are available in features section below. Moihack DoS Attack Tool was the name of the 1st version of the program. Moihack Port-Flooder is the Reloaded Version of the program with major code rewrite and changes. Code is much smaller in size now - from about 130 pure lines of codes to 35 lines only. To run it you must... -
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vmimagemanager
Old version of https://github.com/hepix-virtualisation/vmimagemanager
This is the old version of vmimagemanager and is kept for historical interest. For a more useful and uptodate application please look here. https://github.com/hepix-virtualisation/vmimagemanager vmimagemanager.py is a command line libvirt client and virtual machine image management python script. It is intended for backing up snapshotting. It supports libvirt, mount (re)store images, booting virtual machines. Its simple and fast to use. -
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pyrap is a pygtk application and python library that will allow a tester to "record and playback" gui applications on linux. The recorded test creates a executable python script for playback. Recording uses image recognition.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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MTCC (Model-Driven Test Case Construction) in an approach to the construction of acceptance tests by domain experts for testing system families based on feature models. MTCC is applied to the application domain of Digital Libraries.
