FindGraph 2.611

As someone who frequently works with data and graphs, I know firsthand how important it is to have a reliable tool for graphing, curve fitting, and digitizing. That's where FindGraph comes in - this comprehensive Windows software is specifically designed to meet the needs of users who need to analyze and understand their data.

One of the standout features of FindGraph is its wide range of curve fitting options. The software includes 12 generic fits, including linear regression, logistic functions, fourier approximation, rationals, neural networks, B-splines, and parametric curves least squares approximations. In addition, FindGraph includes a library of over 300 industry-specific 2D formulas, making it an incredibly versatile tool for users working in a variety of different industries.

But FindGraph isn't just about curve fitting - it also offers a range of additional tools and features for data analysis and manipulation. For example, the software enables users to smooth, interpolate, apply FFT and Wavelet filters, subtract, differentiate, integrate, transform data and curves, and apply Procrustes analysis. Additionally, FindGraph includes the Douglas-Peucker algorithm and the empirical mode decomposition (EMD) algorithm, making it a powerful tool for data analysis.

In addition to these core features, FindGraph also offers support for polar, Cartesian, and parametric equations, as well as a built-in wizard that helps users digitize their data. Plus, the software supports OLE automation and can be built into other software applications, making it a convenient choice for users who need to integrate it into their existing workflow.

Overall, I highly recommend FindGraph to anyone who frequently works with data and graphs. It's a powerful and versatile tool that offers a wide range of curve fitting options, as well as a host of additional tools and features for data analysis and manipulation. Whether you're a seasoned data analyst or just getting started, FindGraph is a must-have tool for anyone looking to understand and analyze their data.