Search Results for "python software"
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Showing 5 open source projects for "python software"
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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Iris Powered By Generali - Iris puts your customer in control of their identity.Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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weever is a forum software written in python with Twisted Matrix and Nevow. It aims to be standard compliant and easy to use and manage.
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Sukiyaki
A BBS imageboard, like futaba, written in Python with Django
Sukiyaki is a BBS imageboard written in Python with a focus on better visual presentation, simpler URLs, relevant features, and better security. One of the first differences users will notice in Sukiyaki, compared to other imageboard software, is that replies are indented below the post they reply to. Sukiyaki is released under the MIT license. -
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Pocoo, the Python powered bulletin board software. Pocoo is easily extensible, highly scalable and portable. For more information, SVN access and trackers please visit <http://www.pocoo.org>.
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Narya is a forum/incubator software, based on a Python/Zope/MySQL platform. Emphasis on graphics support and collaboration for space and technology development. Compare PHP/MySQL forums.
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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