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-1.7.2.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-1.7.2-py3-none-any.whl (48.6 MB view details)

Uploaded Python 3

File details

Details for the file pyfemtet-1.7.2.tar.gz.

File metadata

  • Download URL: pyfemtet-1.7.2.tar.gz
  • Upload date:
  • Size: 48.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.14 Linux/6.11.0-1018-azure

File hashes

Hashes for pyfemtet-1.7.2.tar.gz
Algorithm Hash digest
SHA256 f7360d1086063cedfd6b212e2156f80077b459d5ed146c86352280e8dece69f4
MD5 b09194bb00b36ed0b124844f9ff0e630
BLAKE2b-256 5b4217f08d8da9c80b488f40a50c7d5794fbaf983089fd1b18919e4369cbb93c

See more details on using hashes here.

File details

Details for the file pyfemtet-1.7.2-py3-none-any.whl.

File metadata

  • Download URL: pyfemtet-1.7.2-py3-none-any.whl
  • Upload date:
  • Size: 48.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.14 Linux/6.11.0-1018-azure

File hashes

Hashes for pyfemtet-1.7.2-py3-none-any.whl
Algorithm Hash digest
SHA256 5b927a824ee9279c5a5d160a841872a3220aa3c16b6197fe86f8f5b0ac3bdd56
MD5 bc1a287eb6d6502a7fd27b743d1fd020
BLAKE2b-256 9df69c1239437a5ba6af1d6314f379a0eb74c79795cf928142bf3c64b98a3579

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