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

This version

1.1.3

Download files

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

Source Distribution

pyfemtet-1.1.3.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-1.1.3-py3-none-any.whl (48.6 MB view details)

Uploaded Python 3

File details

Details for the file pyfemtet-1.1.3.tar.gz.

File metadata

  • Download URL: pyfemtet-1.1.3.tar.gz
  • Upload date:
  • Size: 48.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.11.13 Linux/6.11.0-1018-azure

File hashes

Hashes for pyfemtet-1.1.3.tar.gz
Algorithm Hash digest
SHA256 8e3e80545fbf519e8b6c0f963671a6676e77e386e161f231f4c8a250a0fcbfac
MD5 605e009944df230dd7c1f6b0db11c67e
BLAKE2b-256 9f3b23fc2d69b48db460a8a20c70f05eaa2a568c21acc85e1e19e35053e88f3d

See more details on using hashes here.

File details

Details for the file pyfemtet-1.1.3-py3-none-any.whl.

File metadata

  • Download URL: pyfemtet-1.1.3-py3-none-any.whl
  • Upload date:
  • Size: 48.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.11.13 Linux/6.11.0-1018-azure

File hashes

Hashes for pyfemtet-1.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 3af87ea354077ff38c54c4ec81e9ac5213b5658c2ac34221ca5ab2cd7a25d00c
MD5 dad9b87749a2a1a86254e3c385cc7168
BLAKE2b-256 c3635797315d2b568913afdf610121ccee020c3e87cdaecfda5547921312241b

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