Facilitate data io in FMU with rich metadata

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  • License: Apache Software License (Apache 2.0)
  • Author: Equinor
  • Tags fmu , sumo
  • Requires: Python >=3.11
  • Provides-Extra: dev , docs
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Project description

fmu-dataio

Test PyPI version PyPI - Python Version PyPI - License ReadTheDocs

Documentation: https://fmu-dataio.readthedocs.io/en/latest/

Source Code: https://github.com/equinor/fmu-dataio/

fmu-dataio is a library for handling data flow in and out of Fast Model Update workflows. For export, it automates the adherence to the FMU data standard ✅ including both file and folder conventions as well as richer metadata 🔖 for use by various data consumers both inside and outside the FMU context via Sumo.

fmu-dataio is designed to be used with the same syntax in all parts of an FMU workflow, including post- and pre-processing jobs and as part of Ert FORWARD_MODEL, both inside and outside RMS.

fmu-dataio is also showcased in Drogon. 💪

Data standard definitions

The metadata standard is defined by JSON schemas. Within Equinor, the schema is available on a Radix-hosted endpoint ⚡

  • Radix Dev: Radix Dev

Updating schemas

Check out the Updating schemas page in the documentation for instructions.

License

This project is licensed under the terms of the Apache 2.0 license.

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  • License: Apache Software License (Apache 2.0)
  • Author: Equinor
  • Tags fmu , sumo
  • Requires: Python >=3.11
  • Provides-Extra: dev , docs
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2.30.0

2.29.2

This version

2.29.1

2.29.0

2.28.2

2.28.1

2.28.0

2.27.0

2.26.0

2.25.0

2.24.0

2.23.0

2.22.2

2.22.1

2.22.0

2.21.0

2.20.0

2.19.0

2.18.0

2.17.0

2.16.0

2.15.2

2.15.1

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2.14.0

2.13.0

2.12.0

2.11.2

2.11.1

2.11.0

2.10.2

2.10.1

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2.9.3

2.9.2

2.9.1

2.9.0

2.8.1

2.8.0

2.7.0

2.6.1

2.6.0

2.5.1

2.5.0

2.4.1

2.4.0

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2.2.0b4 pre-release

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2.2.0b1 pre-release

2.1.1

2.1.0

2.0.0

1.11.0

1.10.0

1.9.0

1.8.6

1.8.5

1.8.4

1.8.3

1.8.1

1.8.0

1.7.0

1.6.1

1.6.0

1.5.3

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1.5.1

1.5.0

1.4.3

1.4.2

1.4.1

1.4.0

1.3.0

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1.1.0a1 pre-release

1.0.1

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0.11.0

0.10.1

0.10.0

0.9.0

0.8.0

0.7.2

0.7.1

0.7.0

0.6.0

0.5.2

0.5.1

0.5.0

0.4.0

0.3.2

0.3.1

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