mibiscreen
A Python package for prediction and analysis in Microbiome based Remediation. Developed as part of the MiBiRem toolbox for Bioremediation.
How to use mibiscreen
A collection of routines for data analysis on contaminant site data with the goal to predict if bioremediation is a feasible remediation strategy.
Installation
Installation of stable release
Use pip to install the most recent stable release of mibiscreen as follows:
pip install mibiscreen
Installation of most recent development version
To install mibiscreen from the GitHub repository directly, do:
git clone git@github.com:MiBiPreT/mibiscreen.git
cd mibiscreen
python -m pip install .
Note that this is the (possibly unstable) development version from the main branch. If you want a stable release, use the pip installation method instead.
Documentation
You can find the project's full documentation here.
Contributing
If you want to contribute to the development of mibiscreen, have a look at the contribution guidelines in CONTRIBUTING.md.
Credits
This package was created with the NLeSC/python-template.
2 maintainers
Metadata
2 maintainers
Release files for mibiscreen 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mibiscreen-0.7.0.tar.gz | 780.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mibiscreen-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 870.7 kB
Release files / mibiscreen-0.7.0.tar.gz
| Download URL | mibiscreen-0.7.0.tar.gz |
|---|---|
| Size | 780.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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Transparency logRelease files / mibiscreen-0.7.0-py3-none-any.whl
| Download URL | mibiscreen-0.7.0-py3-none-any.whl |
|---|---|
| Size | 90.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| 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 Jun 21, 2026.
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