Search Results for "compiler python linux" - Page 3
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Showing 59 open source projects for "compiler python linux"
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Using just a single server or virtual machine, Statseeker can be up and running within minutes, and discovering your entire network in less than an hour, without any significant effect on your bandwidth availability.
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Simplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
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TeXas assists the building process of LaTeX files and provides useful scripted features. It mainly acts as an automated build system. TeXbooklet creates booklets out of LaTeX files while TeXlayout creates a LaTeX file with a standard layout in it.
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ZML, the Zeitung Markup Language, is a simple CMS for small newspapers. It was specifically designed to publish a student newspaper in print and on the Web. It uses LaTeX and XHTML. So far, it is documented in German only.
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This project will provide translation of mathematical content, from TeX to MathML and vice-versa, and to graphics formats, as a web service. TeX, running as a daemon, is used for mathematical typography.
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Comet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
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Yabman is a tool for managing bibliographic references. Its key features are a quality user interface, a carefully designed data model, and sophisticated three-state hierarchical reference labeling. It is currently usable but in a pre-alpha stage.
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SciBook is a framework for xslt transformation from xhtml to html. The transformation can be extended by adding plugins. The standard LaTeX plugin can convert LaTeX code to images.
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Das Projekt ist nach Github umgezogen, weil ich mit der Politik von SF.net nicht einverstanden bin. Der LaTeX-Assistant hilft das Grundgerüst einer LaTeX-Datei zusammenzustellen. --- The LaTeX-Assistant assists on creating the basic structure of a LaTeX file.
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The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.