massphotometry: A Python Package for Mass Photometry Analysis
This package provides tools for mass photometry data analysis.
Current Functionality
In its initial release, massphotometry provides functions for the following:
- Reading MP Files: Functionality to read and parse .mp (mass photometry) data files.
- Metadata Handling: Tools to extract, and convert metadata from .mp files.
Future versions will add methods to extract the mass distribution from the measurement.
Installation
To install massphotometry, ensure you have Python 3.10 or higher.
Install the package from PyPI:
pip install massphotometry
Upgrade the pacakge
pip install --upgrade massphotometry
1 maintainer
Metadata
1 maintainer
Release files for massphotometry 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| massphotometry-0.1.0.tar.gz | 6.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| massphotometry-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.5 kB
Release files / massphotometry-0.1.0.tar.gz
| Download URL | massphotometry-0.1.0.tar.gz |
|---|---|
| Size | 6.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / massphotometry-0.1.0-py3-none-any.whl
| Download URL | massphotometry-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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
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