![]() There’s also the possibility to export graphs to various formats, BMP, EPS, PDF, PNG, PS and SVG included. The Plot wizard provides a simpler way to generate graphs, while the Project Explorer delivers an overview of all the resources comprised inside the current view. Data can be entered using tables or formulas and can be analyzed using various algorithms, such as Fourier, correlations and convolutions. SciDAVis is able to generate both 2D and 3D graphs, including line, pie, bar, surface, scatter and ribbon, to name the most important ones. The program benefits from a well-built and intuitive interface, which dedicated most of its space to the data to be plotted and the actual graphs, with complementary functionality compressed inside a set of menus located in the upper part of the GUI. Generate 2D and 3D data and export to various formats Aside from this, all you need is a little time and the will to experiment with it. SciDAVis requires Python for its scripting engine, so there’s the first dependency you need to ensure for a proper runtime. It can be used by beginners and advanced users alike, on account of its short learning curve and its accessibility. The application sets itself apart from the competition through the user-oriented approach and the intuitive environment it provides to the audience. Python is required to make the program work Alternatively, it can perform calculations using formulas specified by the user. and many more we just forgot to mention.SciDAVis stands for Scientific Data Analysis and Visualization and is a cross-platform, open-source project that can process and plot data entered by hand. We also want to acknowledge the people having helped us indirectly by contributing to the followingįine pieces of software. birth name: Tilman Hoener zu Siederdissen Special Thanks ![]() The SciDAVis manual is based on the QtiPlot manual, written by (in alphabetical order): QtiPlot 0.9-rc2) of code by the following people: SciDAVis uses code from QtiPlot, which consisted (at the time of the fork, i.e. The following people have made installing SciDAVis easier by providing specialized binary packages. The following people have contributed translations or parts thereof. The following people have written parts of the manual and/or other documentation. The following people have written parts of the SciDAVis source code, ranging from a few lines to large chunks. InstallationĪlso consider using a prebuilt package, available for PC and Mac or Linux. An X.0.Y release is a beta release prior to the first full release of major version X. The only exception is a X.0.Y release, as there is no X.0 full release. These will have the same major/minor number as the full release they were based on. ![]() Releases with 3 numbers are beta releases, and/or release candidates. ![]() Within a major number, the software should support backwards compatibility of data files and scripting APIs. Version numbersįull SciDAVis releases have a major and minor number. Possibly also on other platforms like *BSD. SciDAVis runs on GNU/Linux, Windows and MacOS X GNU General Public License for more details.Ī copy of this license is provided in the file gpl.txt. MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. This program is distributed in the hope that it will be useful,īut WITHOUT ANY WARRANTY without even the implied warranty of The Free Software Foundation either version 2 of the License, or ![]() It under the terms of the GNU General Public License as published by This program is free software you can redistribute it and/or modify SciDAVis is a free application for Scientific Data Analysis and Visualization. ![]()
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