SBML4Humans
SBML4Humans creates interactive, human readable reports of SBML models: one table per element type, a search over everything, and an inspector which follows every reference between the objects of a model, for SBML core and the packages comp, fbc, qual and distrib.
The package opens the report of a file of your machine in the browser. The file is read by a local server and never leaves the machine:
from sbml4humans import show
show("model.xml")
sbml4humans model.xml
The web application is at sbml4humans.de, the documentation at matthiaskoenig.github.io/sbml4humans, with Reports from python for this package, and the source at github.com/matthiaskoenig/sbml4humans.
If you use SBML4Humans in your work, please cite it as the documentation describes.
Funding
Matthias König is supported by the Federal Ministry of Education and Research (BMBF, Germany) within the research network Systems Medicine of the Liver (LiSyM, grant number 031L0054) and by the German Research Foundation (DFG) within the Research Unit Programme FOR 5151 "QuaLiPerF (Quantifying Liver Perfusion-Function Relationship in Complex Resection - A Systems Medicine Approach)" by grant number 436883643. The first version was funded by Google Summer of Code 2021.
License
- Source Code: MIT, the full text is in LICENSE
- Documentation: CC BY-SA 4.0
© 2021-2026 Matthias König
1 maintainer
Metadata
1 maintainer
Release files for sbml4humans 0.11.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sbml4humans-0.11.0.tar.gz | 4.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sbml4humans-0.11.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.0 MB
Release files / sbml4humans-0.11.0.tar.gz
| Download URL | sbml4humans-0.11.0.tar.gz |
|---|---|
| Size | 4.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a11695e529c32aa7c54abc3bf452bc2900bd7f6a7a38f3be601df940602d839b
|
|
BLAKE2b-256 checksum How to use checksums |
de3af775d88192a2f7d02a5bdfef7465f063e064a31a15a00ddc18b3a47113f5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Oct 5, 2026.
Transparency logRelease files / sbml4humans-0.11.0-py3-none-any.whl
| Download URL | sbml4humans-0.11.0-py3-none-any.whl |
|---|---|
| Size | 4.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3764a5a9ca828a09d54a9f6ad99c40854c73c7b86d67948437ae7e0a960e364a
|
|
BLAKE2b-256 checksum How to use checksums |
5631bb77d038624f1dae4e6e19094197ebe01181728f5d3bc991f1f47df8b26e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Oct 5, 2026.
Transparency log
