Search Results for "python web template"
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Showing 4 open source projects for "python web template"
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Award-winning proxy networks, AI-powered web scrapers, and business-ready datasets for download.Bright Data is a leading data collection platform, enabling businesses to collect crucial structured and unstructured data from millions of websites through our proprietary technology. Our proxy networks give you access to sophisticated target sites using precise geo-targeting. You can also use our tools to unblock tough target sites, accomplish SERP-specific data collection tasks, manage and optimize your proxy performance as well as automating all of your data collection needs.
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Monitor production, track downtime and improve OEE.Evocon is a visual and user-friendly OEE software that helps manufacturing companies improve productivity and remove waste as they become better.
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htmlarea
Small, powerful, full featured WYSIWYG editor
HTMLArea 4 is a browser based WYSIWYG editor that easily replaces the TEXTAREA in your web pages. It is written in JavaScript, and suitable for use in any modern web browser, and any page on your web site. Current version is 4.0-2016-08-29 -
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Arabeyes
A project to increase free Arabic fonts on Unix/Linux
Arabeyes is a Meta project that is aimed at fully supporting the Arabic language in the Unix/Linux environment. It is designed to be a central location to standardize the Arabization process. Arabeyes relies on voluntary contributions. -
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Cobalt Web Builder is ANOTHER WAY of authoring HTML documents than WYSIWYG editors or simple text editors. The software uses TEMPLATE and SUBSTITUTION, which helps editing web document EASY and QUICK, especially when using CSS and JAVASCRIPT.
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XML::Template is an X(HT)ML template processing framework written in Perl designed for constructing web sites and web applications. It provides XML document parsing and caching; scalar, array, nested, and XPath variables; and numerous plugin modules.
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Intelligent testing agents | Checksum.aiCoding agents write the code. Checksum runs it—continuously testing against real APIs, real data, real edge cases—before it ever reaches production.
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