fmu-datamodels
This package contains models and schemas that contribute to the FMU data standard.
Data is represented using Pydantic models, which describe metadata for data exported from FMU experiments. These models can be serialized into versioned JSON schemas that validate the metadata. In some cases the exported data itself can be validated by a schema contained here.
The models are utilized by fmu-dataio for data export and can also be leveraged by Sumo data consumers for programmatic access to data model values like enumerations.
Schemas
The metadata standard is defined by JSON schemas. Within Equinor, the schemas are available on a Radix-hosted endpoint.
- Radix Dev:
- Radix Staging:
- Radix Prod:
Documentation
The documentation for this package is built into the fmu-dataio documentation.
- The FMU results data model page documents the data model, contains the schema change logs, and more.
- The Schema versioning page describes how schemas produced by this model are versioned.
- The Updating schemas page contains instructions on how to update the schemas. This is relevant for developers of this model only.
License
This project is licensed under the terms of the Apache 2.0 license.
3 maintainers
Metadata
3 maintainers
Release files for fmu-datamodels 0.26.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fmu_datamodels-0.26.4.tar.gz | 536.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fmu_datamodels-0.26.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 605.0 kB
Release files / fmu_datamodels-0.26.4.tar.gz
| Download URL | fmu_datamodels-0.26.4.tar.gz |
|---|---|
| Size | 536.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
313e2b55d8cf3872b84f8c11beea37ba50f5e751874e0dc3e8658cfa3c169941
|
|
BLAKE2b-256 checksum How to use checksums |
af85eb6dec206018b9652e3a9014127f1ca0911ef7dfd34569d36aca36febb16
|
| 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 14, 2026.
Transparency logRelease files / fmu_datamodels-0.26.4-py3-none-any.whl
| Download URL | fmu_datamodels-0.26.4-py3-none-any.whl |
|---|---|
| Size | 68.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
97f084e11d4e8d5a93cc757272a5aff06da4014bf93a4703dff769bb186f0c05
|
|
BLAKE2b-256 checksum How to use checksums |
c5ea9392dc3815582e65f61ceb9df8c114cf8932c16c0ac87839c75b9e019ba4
|
| 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 14, 2026.
Transparency log
