FitPlot

FitPlot

FitPlot is an open-source, cross-platform data visualization and curve fitting application. It allows users to graph and analyze scientific data, perform curve fitting and regression analysis, and generate high-quality publication-ready plots.
FitPlot screenshot

FitPlot: Open-Source Data Visualization & Curve Fitting

FitPlot is an open-source, cross-platform data visualization and curve fitting application. It allows users to graph and analyze scientific data, perform curve fitting and regression analysis, and generate high-quality publication-ready plots.

What is FitPlot?

FitPlot is an open-source, cross-platform application for interactive scientific data visualization and analysis. It enables researchers, engineers, and analysts to easily import, graph, and analyze measurement data, perform curve fitting and regression analysis, and generate high-quality plots for publications and reports.

Some key features of FitPlot include:

  • Intuitive and flexible drag-and-drop interface for graphing multivariate data
  • Wide range of 2D and 3D plot types (line, scatter, bar, surface, contour, etc.)
  • Powerful curve fitting with a variety of built-in and custom models (linear, polynomial, exponential, Gaussian, etc.)
  • Statistical analysis tools like correlations, distributions, confidence bands
  • Support for very large datasets with fast plot rendering
  • Customizable plots with control over axes, legends, colors, styles
  • Export plots in vector and raster formats (SVG, PNG, JPEG, PDF)
  • Cross-platform support for Linux, Windows, and Mac OS
  • Open-source (GPL license) with C++ and Python APIs for extensibility

With its balance of usability and advanced analytics capabilities, FitPlot is a valuable visualization and analysis tool for engineers, scientists, mathematicians, and programmers working with scientific data across many domains.

FitPlot Features

Features

  1. Graphing and visualization
  2. Curve fitting and regression analysis
  3. Support for multiple graph types (line, scatter, bar, etc)
  4. Data analysis tools
  5. Export publication-quality vector graphics

Pricing

  • Open Source

Pros

Free and open source

Cross-platform (Windows, Mac, Linux)

Intuitive and easy to use interface

Powerful data analysis capabilities

Highly customizable graphs and plots

Can handle large datasets

Cons

Limited built-in statistical functions

Steep learning curve for advanced features

Only supports CSV file import

Lacks some features of paid alternatives

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