Overview
PyOptiSLang is a Python wrapper for Ansys optiSLang. It supports Pythonic access to Ansys optiSLang to be able to communicate with Ansys optiSLang directly from Python. The latest ansys-optislang package provides these capabilities:
Start and manage local instances of Ansys optiSLang
Remote connections to Ansys optiSLang instances via TCP/IP
Create new Ansys optiSLang projects
Open existing Ansys optiSLang projects
Control Ansys optiSLang project execution
Save Ansys optiSLang projects
Execute Ansys optiSLang Python API scripts on backend side
Evaluate designs on root project level
Create and connect nodes
Documentation and issues
For comprehensive information on PyOptiSLang, see the latest release documentation. On the PyOptiSLang Issues page, you can create issues to submit questions, report bugs, and request new features. This is the best place to post questions and code.
Installation
The ansys-optislang-core package supports Python 3.12 through 3.14 on Windows and Linux. Three modes of installation are available:
User installation
Developer installation
Offline installation
For either a developer or offline installation, consider using a virtual environment.
User installation
Install the latest release from PyPi with this command:
pip install ansys-optislang-coreAlternatively, install the latest PyOptiSLang GitHub package with this command:
pip install git+https://github.com/ansys/pyoptislang.gitDeveloper installation
If you plan on doing local development with GitHub, clone and install PyOptiSLang with this code:
git clone https://github.com/ansys/pyoptislang.git
cd pyoptislang
pip install -e .A developer installation allows you to edit ansys-optislang-core files locally. Any changes that you make are reflected in your setup after restarting the Python kernel.
Offline installation
Using a wheelhouse can be helpful if you work for a company that restricts access to external networks. From the Releases page in the PyOptiSLang repository, you can find the wheelhouses for a particular release in its assets and download the wheelhouse corresponding to your setup.
You can then install PyOptiSLang and all of its dependencies from one single entry point that can be shared internally, which eases the security review of the PyOptiSLang package content.
For example, on Linux with Python 3.12, unzip the wheelhouse and install PyOptiSLang with code like this:
unzip PyOptiSLang-v0.1.0-wheelhouse-Linux-3.12.zip wheelhouse
pip install ansys-optislang-core -f wheelhouse --no-index --upgrade --ignore-installedIf you’re on Windows with Python 3.12, unzip the wheelhouse to a wheelhouse directory and then install using the same pip command as in the preceding Linux code example.
Dependencies
You must have a local licensed copy or a remote instance of optiSLang installed. The first supported version is 2023 R1.
Getting started
Using the Optislang class, you can either launch optiSLang locally or connect to an already running optiSLang instance. By default, PyOptiSLang uses local domain communication (Named Pipes on Windows and Unix Domain Sockets on Linux) in user scope. For remote connections, TCP/IP communication can be used optionally.
Launch optiSLang locally
For launching optiSLang locally, use the Optislang class without specifying either of the local_server_id or host and port arguments. This launches optiSLang locally and establishes a local domain communication channel. The communication_channel argument can be specified to use remote TCP/IP communication if desired. Other parameters can optionally be specified.
from ansys.optislang.core import Optislang
osl = Optislang()
osl.dispose()Connect to an already running optiSLang instance
For connection to an already running optiSLang instance, you must specify either of the local_server_id or host and port arguments. Arguments related to the execution of a new optiSLang instance are ignored in this case.
from ansys.optislang.core import Optislang
host = "127.0.0.1"
port = 5310
osl = Optislang(host=host, port=port)
osl.dispose()Basic usage
This code shows how to launch optiSLang locally, open and run a Python script file, save the results to a new project, and then close the connection:
from ansys.optislang.core import Optislang
osl = Optislang()
file_path = r"C:\Users\Username\my_scripts\myscript.py"
osl.application.project.run_python_file(path=file_path)
osl.application.save_copy("MyNewProject.opf")
osl.dispose()License and acknowledgments
PyOptiSLang is licensed under the MIT license.
PyOptiSLang makes no commercial claim over Ansys whatsoever. This library extends the functionality of Ansys optiSLang by adding a Python interface to optiSLang without changing the core behavior or license of the original software. The use of the interactive control of PyOptiSLang requires a legally licensed local copy of optiSLang.
For more information on optiSLang, see the Ansys optiSLang page on the Ansys website.
1 maintainer
Release files for ansys-optislang-core 1.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ansys_optislang_core-1.6.1.tar.gz | 781.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ansys_optislang_core-1.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / ansys_optislang_core-1.6.1.tar.gz
| Download URL | ansys_optislang_core-1.6.1.tar.gz |
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| Size | 781.6 kB |
| Tags | Source |
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| Download URL | ansys_optislang_core-1.6.1-py3-none-any.whl |
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| Size | 844.6 kB |
| Tags | Python 3 |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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