chromatics is a simple Python library for analyzing chromatographic data.
chromatics is designed to allow for simple analysis of SFC-MS data. In particular, chromatics simplifies analysis of overlapped chromatographic peaks by using modern non-linear curve fitting algorithms (as implemented in lmfit) to fit the observed chromatogram to a linear combination of parametric peak models.
For an example of how to use chromatics, see tutorial/.
This library is released under a GPL 3.0 license: see LICENSE.txt for more details
Corin Wagen and Eugene Kwan, 2022
1 maintainer
Metadata
1 maintainer
Release files for chromatics 0.1.1
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 | Actions |
|---|---|---|---|---|
| chromatics-0.1.1.tar.gz | 12.6 kB | Without provenance | Details for chromatics-0.1.1.tar.gz |
Release files / chromatics-0.1.1.tar.gz
| Download URL | chromatics-0.1.1.tar.gz |
|---|---|
| Size | 12.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f4915a1d3046161586c803a8824e7085e81a11208ded6179a4da9d4d7f3b2ded
|
|
BLAKE2b-256 checksum How to use checksums |
d11a954a0cf6d10e63c393e150b984cef12d00624580acc8dad40e2d0e5f0831
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/6.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10
|
Security for chromatics 0.1.1
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.
