PyGranta BoM Analytics
The MI Restricted Substances and MI Sustainability solutions for Granta MI include REST APIs for:
Evaluating compliance of products, assemblies, specifications, and materials against legislations.
Evaluating the environmental performance of products, assemblies, materials and processes.
This package abstracts automatically-generated code into an easy-to-use client library.
Dependencies
This version of the ansys.grantami.bomanalytics package requires MI Restricted Substances and Sustainability Reports 2024 R2 or later. Use the PyGranta documentation to find the version of this package compatible with older MI Restricted Substances and Sustainability Reports versions.
MI Restricted Substances and MI Sustainability are licensed separately. Endpoints available to end users depend on the available licenses.
The ansys.grantami.bomanalytics package currently supports Python version 3.10 through 3.14.
Installation
To install the latest PyGranta BoM Analytics release from PyPI, run this command:
pip install ansys-grantami-bomanalyticsTo install a release compatible with a specific version of Granta MI Restricted Substances and Sustainability Reports, install the PyGranta metapackage with a requirement specifier:
pip install pygranta==2023.2.0To see which individual PyGranta package versions are installed with each version of the PyGranta metapackage, consult the Package versions section of the PyGranta documentation.
Alternatively, to install the latest development version from the PyGranta BoM Analytics repository, run this command:
pip install git+https://github.com/ansys/grantami-bomanalytics.gitTo install a local development version with Git and uv, run these commands:
git clone https://github.com/ansys/grantami-bomanalytics
cd grantami-bomanalytics
uv syncThe preceding commands install the package in development mode so that you can modify it locally. Your changes are reflected in your Python setup after restarting the Python kernel.
Release files for ansys-grantami-bomanalytics 2.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ansys_grantami_bomanalytics-2.4.1.tar.gz | 976.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ansys_grantami_bomanalytics-2.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.1 MB
Release files / ansys_grantami_bomanalytics-2.4.1.tar.gz
| Download URL | ansys_grantami_bomanalytics-2.4.1.tar.gz |
|---|---|
| Size | 976.9 kB |
| Tags | Source |
|
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Transparency logRelease files / ansys_grantami_bomanalytics-2.4.1-py3-none-any.whl
| Download URL | ansys_grantami_bomanalytics-2.4.1-py3-none-any.whl |
|---|---|
| Size | 142.7 kB |
| Tags | Python 3 |
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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/3.13.7
|
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 Mar 12, 2026.
Transparency log
