Search Results for "python-libpcap" - Page 65
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Showing 1666 open source projects for "python-libpcap"
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A high level Python Web framework. The project is under active development and is not ready for production use.
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PyLogAlyzer is a Web Log Analyzer in Pure Python (a clone of Awstats). PyLogAlyzer produces a XML result and uses XSLT to generate the HTML files.
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"Epiphany SessionManager" is a session-handling extension (in Python) for Epiphany, which is the default web browser the GNOME. Enables the user to save all the currently open tabs into a "session" and restore it later on demand.
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Axe Credit Portal - ACP- is axefinance’s future-proof AI-driven solution to digitalize the loan process from KYC to servicing, available as a locally hosted or cloud-based software.Founded in 2004, axefinance is a global market-leading software provider focused on credit risk automation for lenders looking to provide an efficient, competitive, and seamless omnichannel financing journey for all client segments (FI, Retail, Commercial, and Corporate.)
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Solrscan is a tool for posting Solr format Xml documents to a Solr Index. It has support for full or incremental mode and maintains a cache of the current state of an index.
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This project is in very early stage. It will be complete manager for game Travian with many useful features.
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iSurface - Project Management System. This system created to improve other systems and finding new solutions to old problems.
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The OpenCoin project provides resources for creating virtual currencies: documentation, format and protocol definitions, an open-source reference implementation for issuers, users and traders. It is based on David Chaum's electronic cash concept.
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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PyEsp - Enhanced/Evolving/Extensible Semantic Profiling. This Python program will sort and filter search results by applying semantic profiling on web pages. The program will learn the user preferences and profiling will be done on the client computer.
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This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP. Implementations are in various languages, mainly Java, Python, and Ruby.
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torrential2
A simple web based torrent client
A simple java web-based torrent app. Uses TheSHAD0W's Bittornado under the hood. Deploys in Tomcat. -
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The Meme Machine generates a visual and spoken narrative among connected nodes and the world wide web, in an expanding network using open source algorithms. The computers exhibit eerie self-deterministic behaviours.
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A simple, web based, graphical system for creating complex HTML/JS widgets that can be used together to perform complex tasks.
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StatiCMS is a content management system that is purely static: all output is generated offline. Thanks to a plugin system, all kinds of static data can be generated and a dependency checker makes building fast.
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Code for the familynetwork.org website. Technical component of a larger process to enable neighbors to help neighbors.
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Web app for exploring scholarly resources available as CITE resources (http://chs75.harvard.edu/projects/diginc/techpub/cite).
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This project is to build a slideshow that allows for screen captures to be directly uploaded via a browsers into a slideshow. Existing JS frameworks are used for the display of the slideshoe.
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Spree creates a social search community where everybody shares knowledge and benefits from other users' knowledge alike. The spree technology automatically channels user questions to competent fellow users who are willing to help.
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This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.
