vo-models
is an open-source project to provide Python models for IVOA service protocols.
The project is designed to be used by IVOA members, service implementors, and developers to help facilitate the development of IVOA-compliant services and clients.
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Pydantic-xml Models: The project includes Python models for IVOA protocols, using pydantic-xml. Based on Pydantic, these models describe transactions for an IVOA protocol, such as UWS, and feature automatic validation, parsing and serialization of XML data for use with Python clients and web frameworks.
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Expandability: The project is designed with future expansion in mind. Plans include extending the schema and models to cover other IVOA standards and future versions of existing standards where possible.
The following IVOA protocols are currently supported:
- UWS (Universal Worker Service) version 1.1
- VOSI (IVOA Support Interfaces) version 1.1
- VOSI Availability
- VOSI Tables
- VOSI Capabilities
- VODataService version 1.2 (limited)
- DataType
- FKColumn
- ForeignKey
- Table
- TableParam
- TableSchema
- TableSet
- others
- VOResource version 1.1
- TAPRegExt version 1.0
You can read more about using these models in our documentation: https://vo-models.readthedocs.io/
The latest version of the project can be installed from PyPI:
pip install vo-models
To install the project using Conda, you can use the provided environment file:
git clone https://github.com/spacetelescope/vo-models.git
cd vo-models
conda env create -f environment.yml
conda activate vo-models
pip install -r requirements.txt
pip install .
For active development, install the project in development mode:
pip install -e .[dev,test]
Contributions to the project are more than welcome. Collaboration and discussion with other IVOA members, service implementors, and developers is what started this project, and is what makes the IVOA great.
If you are interested in contributing, whether that be adding a new protocol, improving the schema, fixing a bug or even a typo, please feel free to open an issue or pull request.
This project is licensed under the MIT License.