Skip to main content

Design parameter optimization using Femtet.

Project description

Welcome! PyFemtet is the extension package for Femtet.

Main Features

[!NOTE] For details, see the documentation of "Related Pages" section.

Design Parameter Optimization

  • Single or multiple objective optimization
  • Progress monitor GUI
  • Parallel computation with controling multiple Femtet processes
  • Result output in easy-to-analyze csv format for Excel and other tools

Dispatch Extensions

  • Create CFemtet object with process ID specification

Related Pages

Getting Started

[!NOTE] Currently Femtet and pyfemtet supports Windows only.

1. Install Femtet

  • Access Murata Software Website and get Femtet trial version or purchase a lisence.
  • Get installer and launch it.
  • Run 'EnableMacros' from the start menu.

[!NOTE] This procedure requires administrator privileges.

2. Install PyFemtet

[!NOTE] The commands on this section are for CMD or PowerShell on with py launcher. For a virtual environment, replace py to python. If you do not have Python, please install it first.

  • Get pyfemtet via following command:

    py -m pip install pyfemtet

3. Setting win32com Constants

  • Run following command to enable COM constants:

    py -m win32com.client.makepy FemtetMacro

That's all! Now you can use Femtet's extention features via pyfemtet. For more information including sample code and FEM projects, see the documentation of "Related Pages" section.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

pyfemtet-1.8.1.tar.gz (48.5 MB view details)

Uploaded Source

Built Distribution

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

pyfemtet-1.8.1-py3-none-any.whl (48.6 MB view details)

Uploaded Python 3

File details

Details for the file pyfemtet-1.8.1.tar.gz.

File metadata

  • Download URL: pyfemtet-1.8.1.tar.gz
  • Upload date:
  • Size: 48.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.1 CPython/3.11.14 Linux/6.11.0-1018-azure

File hashes

Hashes for pyfemtet-1.8.1.tar.gz
Algorithm Hash digest
SHA256 c917b9295becddaadd3f53fbbf5fd19fa3784f215b94635d2d67bd05ecfeeb0b
MD5 42d6581c922d1dacd3f64f7ee69031da
BLAKE2b-256 66abe4ef918406efe317aecf295e876f39b968d6fc880801318c732b2f3acbdb

See more details on using hashes here.

File details

Details for the file pyfemtet-1.8.1-py3-none-any.whl.

File metadata

  • Download URL: pyfemtet-1.8.1-py3-none-any.whl
  • Upload date:
  • Size: 48.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.1 CPython/3.11.14 Linux/6.11.0-1018-azure

File hashes

Hashes for pyfemtet-1.8.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9289a41f87889928c1999c887099f85313078acd6a8ea4d680d342b8210dc8c8
MD5 8c8a3fd8dfa0505da3779393f8319210
BLAKE2b-256 740ae8165517211bf635f21909bd4bfed232b226698d24e5728bb2a88881e53b

See more details on using hashes here.

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