![]() Provides good support and documentation to make the use more comfortable.Using scripts, Gnuplot can be used interactively and also in batch mode.Generate two and three-dimensional plots and functions.Produce output directly on the screen in different formats, including PNG, JPEG, SVG, GIF, EMF, and EPS.Can be used from several scripting languages, including Ruby, Python, and Perl. ![]() Gnuplot can perform with complex computations using user-defined constants and functions. Besides Linux, it also runs on all the major platforms, including Windows, macOS, and Unix. It is an open source plotting tool written in the C programming language. Gnuplot comes with Linux command line protocol that allows engineers, scientists, and students to visualize different types of interactive functions and data. Hope, you will find some good reasons to pick the best one for your project. Today, we are going to show you a comprehensive list of excellent plotting tools for Linux. Best Plotting Tools for LinuxĬhoosing a suitable scientific plotting software may depend on some criteria of your preferences. They offer some advanced features through the paid version. Most of the applications we listed in this article are open source. Fortunately, like the other platforms, Linux is also enriched with a lot of plotting tools. Besides this, you can use these applications to prepare presentations. It is an essential tool for academics, scientists, and engineers as well. ![]() ![]() for rapidly writing an import filter for a custom data format.Plotting tool refers to computer software, which helps to represent a data set in a scientific nature. With Python installed, you can even access other objects in the project, e.g. Note windows with support for in-place evaluation of mathematical expressions. Interactive 3D plots with export to a variety of formats, including EPS and PDF. Publication-quality 2D plots of various types including symbols/lines, bars and pie charts which can be exported to a variety of formats (JPG, PNG, EPS, PDF, SVG and more). Extensive support for fitting linear and nonlinear functions to the data, including multi-peak fitting. Many built-in analysis operations like column/row statistics, (de)convolution, FFT and FFT-based filters. Multi-level undo/redo for tables and matrices. Each table cell can be assigned an individual formula. Cell values in tables can be computed using standard and special functions (and much more if you have Python installed). Data for tables or matrices can be entered directly or imported from ASCII files. Tables (2D data), matrices (3D data), graphs (2D or 3D plots) and notes (text notes or Scripts) are gathered in a Project and can be organized using folders. SciDAVis is similar in its field of application to proprietary Windows applications like Origin and SigmaPlot as well as free applications like QtiPlot, Labplot and Gnuplot. SciDAVis runs on GNU/Linux, Windows and MacOS X possibly also on other platforms like *BSD, although this is untested. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility. SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. ![]()
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