Search Results for "python feature selection"
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Showing 8 open source projects for "python feature selection"
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sqlmap
Automatic SQL injection and database takeover tool
sqlmap is a powerful, feature-filled, open source penetration testing tool. It makes detecting and exploiting SQL injection flaws and taking over the database servers an automated process. sqlmap comes with a great range of features that along with its powerful detection engine make it the ultimate penetration tester. It offers full support for MySQL, Oracle, PostgreSQL, Microsoft SQL Server, Microsoft Access, IBM DB2, SQLite, Firebird, and many other database management systems. It also... -
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Scrapy
A fast, high-level web crawling and web scraping framework
Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring... -
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Conjure
Interactive evaluation for Neovim
Interactive evaluation for Neovim (Clojure, Fennel, Janet, Racket, Hy, MIT Scheme, Guile). Conjure is an interactive environment for evaluating code within your running program. The core features of Conjure are language agnostic (although it’s targeted at Lisps for now), with each language client providing their own extra tools. Here are the currently supported languages, contributions, and 3rd party plugins that add clients are highly encouraged! You can find a comparison table for all... -
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HTTP Prompt
An interactive command-line HTTP and API testing client
HTTP Prompt is an interactive command-line HTTP client featuring autocomplete and syntax highlighting. You'll never have to memorize the whole commands and HTTP headers thanks to autocomplete with fuzzy matching. Improve readability by rendering JSON, HTML and commands with 27 builtin color themes, borrowed from Pygments. Designed to work with and built on top of HTTPie, HTTP Prompt makes a perfect companion for HTTPie. Cookie-based authentication made easy as incoming cookies are... -
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FoxNuke
A Proffesional Stress-Testing(ddos) tool for pentesters
The FoxNuke program is written in python and uses Firefox in order to complete the distributed denial of service attack feature. Multiple headers are used from the Firefox browser, along with a personal configuration option for the Opera browser. The FoxNuke Program is still underdevelopment as of 8/24/17, full release is set to come out sometime during 2017-2018. If you would like to participate in the TESTING of this program and would like to help report bugs, etc. then please email leyvarosnel@gmail.com for further inquiries. ... -
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Auto Mouse Clicker - Super Fast
A Powerful and Easy to Use Automatic Mouse Click and Drag Generator
A powerful, fast and yet easy to use automatic mouse click and drag generator. This application allows you to do enormous repetitive clicks and drags with various configuration like adjusting speed and duration of clicks. No installation required, just download and run. NEW FEATURE in 1.3.1: You can now configure/change keyboard short cut just by clicking on short cut text. -
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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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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.
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