Project Summary
Lmfit provides a high-level interface to non-linear optimization and curve fitting problems for Python. Lmfit builds on Levenberg-Marquardt algorithm of scipy.optimize.leastsq(), but also supports most of the optimization methods from scipy.optimize.
Features:
- Using Parameter objects instead of plain floats as variables. A Parameter has a value that can be varied in the fit, fixed, have upper and/or lower bounds. It can even have a value that is constrained by an algebraic expression of other Parameter values.
- Ease of changing fitting algorithms.
- Improved estimation of confidence intervals.
- Improved curve-fitting with the Model class, which allows to turn a function into a model to fit the data.
- Many pre-built models for common lineshapes are included and ready to use.
In a Nutshell, Lmfit...
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has a well established, mature codebase
maintained by a large development team
with stable Y-O-Y commits -
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took an estimated 4 years of effort (COCOMO model)
starting with its first commit in August, 2011
ending with its most recent commit 6 days ago
Quick Reference
BSD 3-clause "New" or "Revised" License
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These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
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Vulnerability Exposure Index
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30 Day SummaryJun 26 2025 — Jul 26 2025
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12 Month SummaryJul 26 2024 — Jul 26 2025
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