Search Results for "a line"
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Showing 4 open source projects for "a line"
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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PHPlot
A PHP class for creating graphs, plots, charts
...It works with PHP5 and the PHP GD extension to produce PNG, GIF, or JPEG images. TrueType fonts (TTF) are optional, or built-in GD fonts can be used. The available plot types include: area, bars, line/points, lines, pie, points, squared, stacked-bars, and thin bar-line. Labels, tick marks, plot legend, and X/Y axes and more are all configurable. Images can be imported as a background, multiple graphs can be drawn on one image, and images can be saved to disk or returned to a browser. -
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pChart is a PHP class oriented framework designed to create aliased charts. Most of the todays chart libraries have a cost, our project is intended to be free. pChart 2.x is now publicly released. You can get it from : http://www.pchart.net
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A derivative of the project 'learning patterns for the design and depolyment of mathematical games' (http://lp.noe-kaleidoscope.org/), this is an on-line, html (AJAX) based editor & browser for FreeMind (http://freemind.sourceforge.net/) mindmaps.
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PHPGraphs is a set of graphing classes for php. The basic graph types are line, point, area, and bar. Also, an advanced TimeSeries graph is included. PHPGraphs supports large numbers of large sized data sets.
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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