.. LabFit documentation master file. Homepage: https://matthewd0yle.com/labfit/ Contact: matt@matthewd0yle.com License: MIT Welcome to LabFit ================= .. raw:: html
pip install labfit Python ≥ 3.10
.. image:: _static/banner.svg :alt: LabFit | least-squares curve fitting for Python :width: 100% :align: center `LabFit` is a small, student-friendly Python library for least-squares curve fitting, error propagation, and plotting. It ships with built-in textbook models, convenience wrappers for quick analysis, and a plotting layer that can show residuals and multi-series comparisons. Core goals: - **Reproducible workflows** from CSV to fitted curve in minutes. - **Reduced χ² (chi-square) analysis** returned for every fit so you can immediately assess goodness-of-fit. - **Multiple series support** - plot and fit many lines on one figure with a shared or individual axis. - **Treat correlated and asymmetric errors correctly** without rewriting propagation code each time. - **Complete reference docs** for fitting helpers, built-in model functions, plotting, and utilities. .. toctree:: :hidden: quickstart concepts least-squares fitting-functions api utilities gallery faq .. raw:: html