Skip to main content

A python wrapper for Ansys Workbench

Project description

PyAnsys Python PyPI GH-CI MIT Ruff

PyWorkbench is a Python client library for Ansys Workbench.

Installation

To install PyWorkbench in user mode, use pip :

pip install ansys-workbench-core

To install the latest development version of PyWorkbench, use the following commands:

git clone https://github.com/ansys/pyworkbench
cd pyworkbench
pip install -e .

For more information, see Getting started in the PyWorkbench documentation.

Documentation and issues

Documentation of the latest stable release of PyWorkbench can be found at PyWorkbench documentation.

The documentation has these sections:

  • Getting started: Learn how to install PyWorkbench and connect to Workbench.

  • User guide: Understand key concepts and approaches for using PyWorkbench with the Workbench gRPC service.

  • API reference: Understand how to use Python to interact programmatically with PyWorkbench.

  • Examples: Explore examples that show how to use PyWorkbench to create custom applications, automate your existing Workbench workflows, and integrate with other popular tools in the Python ecosystem.

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 PyWorkbench 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 PyWorkbench, ask your question in an issue as described in the previous paragraph.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ansys_workbench_core-0.13.0.tar.gz (16.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ansys_workbench_core-0.13.0-py3-none-any.whl (19.9 kB view details)

Uploaded Python 3

File details

Details for the file ansys_workbench_core-0.13.0.tar.gz.

File metadata

  • Download URL: ansys_workbench_core-0.13.0.tar.gz
  • Upload date:
  • Size: 16.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ansys_workbench_core-0.13.0.tar.gz
Algorithm Hash digest
SHA256 2afe7ae52d32a2eaf4595dcaffbbbb51bfead1ec2c094aca8e9bb969380f1842
MD5 e3e3a3619ba5020e8a69f61f8cd9ec05
BLAKE2b-256 c64275dda85e35acb4b0e58f276db4ad2435a6c6cca88370f624bed2098b8ec1

See more details on using hashes here.

Provenance

The following attestation bundles were made for ansys_workbench_core-0.13.0.tar.gz:

Publisher: ci.yml on ansys/pyworkbench

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ansys_workbench_core-0.13.0-py3-none-any.whl.

File metadata

File hashes

Hashes for ansys_workbench_core-0.13.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2c818e5c58bf771df01dc0c67fab1e8a76fc423675406220ea1e77a9e841bf7f
MD5 3c1112cef43e8da9555ce49a6c418403
BLAKE2b-256 1e65a01565cebca3829d26080a76cc3ebfbe473bc37fc951d74b266072a27b28

See more details on using hashes here.

Provenance

The following attestation bundles were made for ansys_workbench_core-0.13.0-py3-none-any.whl:

Publisher: ci.yml on ansys/pyworkbench

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page