Search Results for "gtk plot"
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Showing 5 open source projects for "gtk plot"
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Chat with your business data with Looker. More than just a modern business intelligence platform, you can turn to Looker for self-service or governed BI, build your own custom applications with trusted metrics, or even bring Looker modeling to your existing BI environment.
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ConnectWise ScreenConnect, formerly ConnectWise Control, is a remote support solution for Managed Service Providers (MSP), Value Added Resellers (VAR), internal IT teams, and managed security providers. Fast, reliable, secure, and simple to use, ConnectWise ScreenConnect helps businesses solve their customers' issues faster from any location. The platform features remote support, remote access, remote meeting, customization, and integrations with leading business tools.
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PLplot
Cross-platform, scientific graphics plotting library
PLplot is a cross-platform, scientific graphics plotting library that supports math symbols and human languages (via UTF-8 user input strings); plot capabilities for multiple non-interactive plot file formats and in multiple interactive environments; and bindings for multiple computer languages. -
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CycloGraph
Altimetry profile visualizer
CycloGraph is an application to plot the gradient of roads using distances and heights. An open source alternative to Salitaker for plotting the profile of the roads your are planning to do with your bicycle. It also can import routes from kml. -
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A multiplatform framework for report creation, printing, export in PDF, export in XLW, export RTF and preview for the report. Is writen in Python and GTK+.
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Kabikaboo is a simple tree-branch note organizer. It is meant to be used to help aid in the writing of a novel. Users can plan out their story, plot, and characters. Created with Python, PyGTK, Geany, and Glade, on Ubuntu Linux.
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Deliver a personalized customer experience with every interaction, across every channel, with uContact, net2phone’s cloud contact center solution.
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PySDB is simple to use field data manager for structural geologists written in Python. Data are traditionally organized by sites and rock units, classified by structural types and could be freely tagged by user-defined labels.
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