Search Results for "python-4suite-xml"
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Showing 11 open source projects for "python-4suite-xml"
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Premier Construction SoftwareRated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
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ARITA
Extraordinary audio player for FreeBSD & GNU/Linux
...Therefore it takes a different approach to arranging audio files. They must be emplaced into libraries: 'archives' or 'cuesheets'. Archive - compressionless container like CPIO. Instead of tags for description of tracks, a plain XML/YAML file is placed alongside each archive. Rather than embedding cover art in every track, put a single image next to a library. TIFF supports multipage docs, so scans of covers/discs can be packed together in one file. ARITA will locate and display the said file, allowing you to view all pages. Optional 'signature' files can be created to keep checksums of tracks, so you may ask ARITA to verify them and make sure nothing is damaged due to a sudden failure of HDD/SSD. ... -
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This Project will administer an exam on an applet using 4 answer mutliple choice questions. Only one answer may be selected per question. Later we may improve this but for now this is the scope. We will use XML to read and write exams.
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The Common Lisp Reasoner extends the Common Lisp Object System (CLOS) to incorporate a powerful rule language suitable for all kinds of reasoning tasks, vanilla XML and RDF/XML interfaces, and support for a variety of AI-related applications, such as scheduling, planning and diagnosis.
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CIOS Audio Core
A cross platform audio inteface
CIOS Audio Core is the infrastructure and subsystem in Collective Intelligence Operation System. It is a cross platforms audio abstract interface, supports including Mac OS X, Linux, Android, iPhone OS and Windows 7. -
Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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The TUM personal robotics package is a collection of libraries that aims to offer methods for personal robotic assistants to operate successfully in indoor environments.
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Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
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A Common Lisp framework for the Semantic Web, offering parsers and printers for the following Semantic Web standards: OWL 2 Functional, OWL 2 XML, OWLlink XML, OWLlink functional, and OWLlink S-Expression. Contains an OWLAPI-like ontology-framework.
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Jeszra is a visual designtool, which combines 2D- vector graphics and GUI design. Jeszra is written in Tcl/Tk and creates reusable code for: * Tcl, Ruby, Lisp and Python. * DocBook based reference pages. * SVG import and export.
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‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
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Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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CapLisp is a capability security layer for Common Lisp that provides various facilities for secure, distributed computing.
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Clipper is a Python based Shell and Debugger for the CLIPS Expert System (see http://clipsrules.sourceforge.net/). It is currently build on pyGTK and pyCLIPS.
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