SpinLab - Bringing the Power of Python to MR Spectroscopy
Project description
SpinLab - Bringing the Power of Python to MR Spectroscopy
SpinLab originally started as DNPLab. It was initially createdby:
The current authors of SpinLab are: Timothy Keller, Yen-Chun Huang, Thorsten Maly
SpinLab is an object-oriented Open Source Python-based package for importing, processing, and analyzing data determined in:
- Electron Paramagnetic Resonance (EPR) Spectroscopy,
- Nuclear Magnetic Resonance (NMR) Spectroscopy, or
- Dynamic Nuclear Polarization (DNP) Spectroscopy.
Features
- Import many different NMR and EPR data formats (Topspin, VnmrJ, Prospa, Xepr, ESR5000...)
- Create N-dimensional data objects
- Easy data processing (e.g. apodization, zero-filling, Fourier transformations, alignment, ...)
- Analyze data using the specific modules
Installation
SpinLab can be easily installed via pip:
pip install spinlab
Developement
- Clone the git repository from https://github.com/SpinLab/spinlab
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file spinlab-1.0.0.tar.gz.
File metadata
- Download URL: spinlab-1.0.0.tar.gz
- Upload date:
- Size: 97.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8491c4ea380361cb3c68950ed100cba0655d4a9f3322b81678312b44a38713de
|
|
| MD5 |
08154ea8f566095646d751212662c5a3
|
|
| BLAKE2b-256 |
ef4149fda58acd3492608f9cce2652c9366df0be24fc2267e557ca3f4d810cab
|
File details
Details for the file spinlab-1.0.0-py3-none-any.whl.
File metadata
- Download URL: spinlab-1.0.0-py3-none-any.whl
- Upload date:
- Size: 119.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2502eab1ee5663fe65d8a51d54eec1ad383eb3f6f6665cd5dfb8a6ce41014c68
|
|
| MD5 |
b8ed6cce61872d0c1f60b209bb8cf108
|
|
| BLAKE2b-256 |
7904e63cd255f24add3ce8360f6c3bd338b12044b038a8ae0850e5008bb771a8
|
