Skip to main content

PyAnsys Python PyPI CodeCov GH-CI MIT Black pre-commit

Overview

Ansys ModelCenter Workflow is a Python client library for Ansys ModelCenter, a suite of products delivering tools for creating and automating engineering workflows.

Documentation and issues

Documentation for the latest stable release of Ansys ModelCenter Workflow is hosted at Ansys ModelCenter Workflow documentation.

The documentation has four sections:

  • Getting started: Learn how to install Ansys ModelCenter Workflow.

  • User guide: Understand how to use Ansys ModelCenter Workflow to create and run workflows.

  • API reference: Understand how to use Python to interact programmatically with Ansys ModelCenter. Workflow API endpoints and how to use them to interact programmatically.

  • Contribute: Learn how to contribute to the Ansys ModelCenter Workflow codebase or documentation.

In the upper right corner of the documentation’s title bar, there is an option for switching from viewing the documentation for the latest stable release to viewing the documentation for the development version or previously released versions.

On the Ansys ModelCenter Workflow Issues page, you can create issues to report bugs and request new features. On the Discussions page on the Ansys Developer portal, you can post questions, share ideas, and get community feedback.

If you have general questions about the PyAnsys ecosystem, email pyansys.core@ansys.com. If your question is specific to Ansys ModelCenter Workflow, ask your question in an issue as described in the previous paragraph.

License

Ansys ModelCenter Workflow is licensed under the MIT License.

Ansys ModelCenter Workflow makes no commercial claim over Ansys whatsoever. This library extends the functionality of interacting with Ansys ModelCenter by adding a Python interface without changing the core behavior or license of the original software. The use of Ansys ModelCenter requires a legally licensed copy of Ansys ModelCenter.

To get a copy of Ansys ModelCenter, see the Ansys ModelCenter page on the Ansys website.

Release files for ansys-modelcenter-workflow 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ansys-modelcenter-workflow 0.1.3
File Size Uploaded
ansys_modelcenter_workflow-0.1.3.tar.gz 47.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ansys-modelcenter-workflow 0.1.3
File Interpreter ABI Platform
ansys_modelcenter_workflow-0.1.3-py3-none-any.whl Python 3 none any Details

Total release size: 161.1 kB

Release files / ansys_modelcenter_workflow-0.1.3.tar.gz

Download URL ansys_modelcenter_workflow-0.1.3.tar.gz
Size 47.6 kB
Tags Source
SHA-256 checksum
How to use checksums
80da179c27a51b97737bd9e0057a4609e00251db5d1321866b1f21fa74a6a3b3
BLAKE2b-256 checksum
How to use checksums
9a7e764377b2dde7630c238a139bf9cc746b7693fcbfea259bd0ba646bb9aaa7
Upload date
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 Jan 2, 2026.

Transparency log

Release files / ansys_modelcenter_workflow-0.1.3-py3-none-any.whl

Download URL ansys_modelcenter_workflow-0.1.3-py3-none-any.whl
Size 113.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
888aba169721e2280da3b78d723c3128784172bd7a6386570d88b5c6e0081537
BLAKE2b-256 checksum
How to use checksums
251cee8354e242e7118f68fedc56ab92ef6a2c5600c18985a888b47d34841532
Upload date
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 Jan 2, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.1.3 This release

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page