Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

abqpy 2016a2

OSCS Status Documentation Status Upload Python Package to PyPI Build and Upload Conda Package

PyPI license PyPI pyversions Anaconda platforms GitHub release PyPI download month

Migrating pyabaqus to abqpy.

Type hints for Abaqus/Python scripting

abqpy is a Python package providing type hints for Python scripting of Abaqus, you can use it to write your Python script of Abaqus fluently, even without doing anything in Abaqus. It also provides some simple APIs to execute the Abaqus commands so that you can run your Python script to build the model, submit the job and extract the output data in just one Python script, even without opening the Abaqus/CAE.

Other links for this project

Pull Requests are Welcome

Since abqpy is reconstructed from the official Abaqus documentation, many of the docstrings are not well formatted, for example, the Raises section, the math equations, the attributes of the objects, due to the limitation of my time, those things are left behind, if anyone is willing to make any contributions, please feel free to create your pull requests.

Installation

abqpy is using type hints features that require Python 3.9 or a later version, please upgrade it to Python 3.9 or a later version if you are using an earlier version.

abqpy is uploaded to PyPI, you can simply install it using pip:

pip install abqpy

abqpy is also uploaded to anaconda, you can use conda to install it:

conda install -c haiiliin abqpy

Optional Requirements

You can put your Abaqus/Python script into a Jupyter Notebook. When you run the notebook, the package will convert the notebook into a plain Python file with the same name but with .py suffix instead of .ipynb, and then it will be submitted to Abaqus kernel.

Go github.com/haiiliin/abqpy/tree/main/tests for tests using Jupyter Notebooks to build the Abaqus model.

In order to use the Jupyter Notebook feature, you have to install the following packages:

pip install ipynbname  # to read the file name of the notebook
pip install notebook
pip install jupyterlab

Or use conda to install (the ipynbname package is only distributed in PyPI, so you have to install it using pip):

conda install jupyterlab
conda install jupyter notebook

Try the following command to make sure the jupyter command is available.

jupyter --version

You may install the latest development version by cloning the GitHub repository and use python to install from the local directory:

git clone https://github.com/haiiliin/abqpy.git
cd abqpy
python setup.py install

Setup Abaqus Environment

In order to use Abaqus command to execute the Python script and submit the job, you need to tell abqpy where the Abaqus command is located. Usually, Abaqus command locates in a directory like this:

C:/SIMULIA/Commands/abaqus.bat

You can add the directory C:/SIMULIA/Commands to the system environment variable Path, or you can create a new system variable named ABAQUS_BAT_PATH, and set the value to the file path of the Abaqus command, i.e., C:/SIMULIA/Commands/abaqus.bat.

Screenshots

  • Create an Abaqus Model

    Model

  • Extract Output Data

    Output

Explore more

For detailed usage of this package, please refer to the documentation.

Metadata

Release files for abqpy 2016a2

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

Source distribution (sdist)

Source distribution for abqpy 2016a2
File Size Uploaded
abqpy-2016a2.tar.gz 785.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for abqpy 2016a2
File Interpreter ABI Platform
abqpy-2016a2-py3-none-any.whl Python 3 none any Details

Total release size: 2.3 MB

Release files / abqpy-2016a2.tar.gz

Download URL abqpy-2016a2.tar.gz
Size 785.1 kB
Tags Source
SHA-256 checksum
How to use checksums
0340df2744ac3f82fbfa2a4937586918bfc58b521499eee285a771cd50908587
BLAKE2b-256 checksum
How to use checksums
881a3121c7379e4221bb261e768e67d547c6fc4422cf78afde924fae73be9d80
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.13

Release files / abqpy-2016a2-py3-none-any.whl

Download URL abqpy-2016a2-py3-none-any.whl
Size 1.5 MB
Tags Python 3
SHA-256 checksum
How to use checksums
46591a1f8d8227c2933688d98b07613d71010089af06b8949f2f20ab47a11d6b
BLAKE2b-256 checksum
How to use checksums
98649b698b14ed703cd417494eeace2cd3218fb35276a7fcd006144e1dfea157
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.13

Release history Release notifications | RSS feed

2025.9

2 release files

2024.9

2 release files

2023.9

2 release files

2022.9

2 release files

2022.1

2 release files

2022.0

2 release files

2021.9

2 release files

2021.1

2 release files

2021.0

2 release files

2020.9

2 release files

2020.1

2 release files

2020.0

2 release files

2019.9

2 release files

2019.1

2 release files

2019.0

2 release files

2018.9

2 release files

2018.1

2 release files

2018.0

2 release files

2017.9

2 release files

2017.1

2 release files

2017.0

2 release files

2016.9

2 release files

2016.1

2 release files

2016.0

2 release files

This release

2016a2 This release

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