DeerLab
About
DeerLab is a comprehensive free scientific software package for Python focused on modeling, penalized least-squares regression, and uncertainty quantification. It provides highly specialized on the analysis of dipolar EPR (electron paramagnetic resonance) spectroscopy data. Dipolar EPR spectroscopy techniques include DEER (double electron-electron resonance), RIDME (relaxation-induced dipolar modulation enhancement), and others.
The documentation can be found here.
The early versions of DeerLab (up to version 0.9.2) are written in MATLAB. The old MATLAB codebase is archived and can be found here.
A graphical user interface (GUI) for processing DEER data using DeerLab is now available as a separate package called DeerAnalysis.
Requirements
DeerLab is available for Windows, Mac and Linux systems and requires Python 3.9 to 3.13
All additional dependencies are automatically downloaded and installed during the setup.
Setup
A pre-built distribution can be installed from the PyPI repository using pip.
From a terminal (preferably with admin privileges) use the following command to install from PyPI:
python -m pip install deerlab
More details on the installation and updating of DeerLab can be found here.
Citing DeerLab
When you use DeerLab in your work, please cite the following publication:
DeerLab: a comprehensive software package for analyzing dipolar electron paramagnetic resonance spectroscopy data
Luis Fábregas Ibáñez, Gunnar Jeschke, Stefan Stoll
Magn. Reson., 1, 209–224, 2020
doi.org/10.5194/mr-1-209-2020
Here is the citation in bibtex format:
@article{FabregasIbanez2020_DeerLab,
title = {{DeerLab}: a comprehensive software package for analyzing dipolar electron paramagnetic resonance spectroscopy data},
author = {Fábregas Ibáñez, Luis and Jeschke, Gunnar and Stoll, Stefan},
journal = {Magnetic Resonance},
year = {2020},
volume = {1},
number = {2},
pages = {209--224},
doi = {10.5194/mr-1-209-2020}
}
License
DeerLab is licensed under the MIT License.
Copyright © 2019-2026: Luis Fábregas Ibáñez, Stefan Stoll, Hugo Karas, Gunnar Jeschke, and other contributors.
3 maintainers
Release files for DeerLab 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| deerlab-1.2.0.tar.gz | 160.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| deerlab-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 297.7 kB
Release files / deerlab-1.2.0.tar.gz
| Download URL | deerlab-1.2.0.tar.gz |
|---|---|
| Size | 160.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c7ce6b18911e00fce0e86f60392745b6423059bf8d69e53b725e440695b8ba22
|
|
BLAKE2b-256 checksum How to use checksums |
eba40b8974efcb72f255988f616dd68666676fea3527b33552ea53c79aaf5329
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 31, 2026.
Transparency logRelease files / deerlab-1.2.0-py3-none-any.whl
| Download URL | deerlab-1.2.0-py3-none-any.whl |
|---|---|
| Size | 137.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8f3b9692fdd6dc7214a160a760ec624a7d5ccae9ce930084207fdcec2e2a60bc
|
|
BLAKE2b-256 checksum How to use checksums |
83545b7542d616ed12cf9a4ae40c260ca6ede86443488dbe228c4adc8c365d3d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 31, 2026.
Transparency log
