PeakUtils
This package provides utilities related to the detection of peaks on 1D data. Includes functions to estimate baselines, finding the indexes of peaks in the data and performing Gaussian fitting or centroid computation to further increase the resolution of the peak detection.
The documentation is available at http://peakutils.readthedocs.io/en/latest .
Installation
To install PeakUtils from the source package, run:
python setup.py install
PeakUtils targets Python 2.7+ and depends on numpy, scipy, and optionally on matplotlib.
Contribute
Source Code: https://bitbucket.org/lucashnegri/peakutils
Direct contact: Lucas Hermann Negri - lucashnegri <at> gmail.com
License
The project is licensed under the MIT license.
Metadata
Release files for PeakUtils 1.3.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| peakutils-1.3.5.tar.gz | 117.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PeakUtils-1.3.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 125.2 kB
Release files / peakutils-1.3.5.tar.gz
| Download URL | peakutils-1.3.5.tar.gz |
|---|---|
| Size | 117.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4ff2e7f3330b93024fe8da1ee04e00389e26bcb2ef79bd2f9cf86ccd4962e114
|
|
BLAKE2b-256 checksum How to use checksums |
7b92f873496baf53ec9ca29e2e9e6e802b177dcd5fb34f85b14ea3b4dc14194e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.12
|
Release files / PeakUtils-1.3.5-py3-none-any.whl
| Download URL | PeakUtils-1.3.5-py3-none-any.whl |
|---|---|
| Size | 7.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5c54ca98ba3177b8c1ae4c5fdfd1b09d7bec947b9c25d9e4bd25334526ca98e5
|
|
BLAKE2b-256 checksum How to use checksums |
926fad8db42b3a744e910e62a8781282acadf7b95ff16f714f05347f6fb6129b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.12
|
Security for PeakUtils 1.3.5
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.