![]() ![]() This is the full version of pro Fit 7.0, offering several new features. This is a recommended update for all users of pro Fit 7.0. The latest maintenance release, providing a number of bug fixes and improvements. ![]() The app can be found on our Downloads Page. The upgrade to pro Fit 7.1 is free for anyone who bought a registration code since 1 January 2021, and discounted upgrades are available for all other registered users who bought pro Fit 7.0 after January 1, 2019. More details can be found in our What’s New section. ![]() It runs natively on Apple Silicon and Intel, and provides important new features, such as LaTeX and Python 3 support. Pro Fit 7.1 is a major release milestone. Headlines pro Fit 7.1 released (1 October 2022) To remove all limits, upgrade to the full version. Pro Fit comes in a free version, which limits the number of concurrently open documents but is still powerful enough for numerous tasks. Create professional plots and graphs for presentation and publication. ![]() Analyze and process mathematical functions and data sets. Use Python to define any mathematical function to model your data, finding the function parameters that best describe your observations. Pro Fit is used by scientists, engineers, and students to analyze their measurements and the mathematical models that describe them. It has Python and LaTeX support and lets you prepare high-quality graphs for publication. If you use an alternative Mac based graphing program, please feel free to add to the list (with any insights) in the comments section below.Welcome to the home of the developers of pro Fit, a macOS application for curve fitting (linear and nonlinear regression), plotting, and data analysis for macOS. The type of graphical software that you settle on will be dependent on the output that you wish to generate.īelow are a few OSX scientific graphical packages with some comments and links (hover over the image to find out more). Depending on your data, you may wish to produce a scatter plot, bar graph, piechart or multivariable 3-dimensional plot. There are countless ways of representing data sets and the nature of your graph, and choice of graphing software, will be dependent on your field of research. It is important to choose a suitable graph format and represent your data in the clearest way possible. If your audience doesn't understand your data because it is poorly presented, they are unlikely to grasp the 'significance' (pardon the pun) of your research. High quality graphical figures of your data should always be a priority when you are preparing a manuscript or presentation. ![]()
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