5.0 Stars (1)
17 Downloads (This Week)
Last Update:
Download camfr-20070717.tgz
Browse All Files
Windows Mac Linux


CAMFR (CAvity Modelling FRamework) is a fast, flexible, friendly full-vectorial Maxwell solver. Although it can tackle general electromagnetic problems, its main focus is on applications in the field of photonics.

CAMFR Web Site


Other Useful Business Software

Resolve IT tickets faster with Snagit Icon

Snagit® - Powerful Screen Capture and Screen Recorder Software - Winner of G2 Crowd Best Software for Business Operations Teams 2017

Resolve IT tickets faster with Snagit Icon
Snagit’s image and video capture is powerful, but not complex. All-in-One Capture® grabs your entire desktop, a region, a window, or a scrolling window from any webpage or application—-all with a single hotkey or click. Snagit gives you a simple way to edit. Show a complex process, give detailed feedback, or share important information with the people who need it most. Download your free trial now!

User Ratings

ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
Write a Review

User Reviews

  • 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    CAMFR is a fantastic package, that enables sophisticated modeling of waveguides and waveguide components. The Python interface makes it very easy to create Python modules (functions etc.) to calculate any number of complex problems, such as mode overlaps, waveguide optimizations, structural optimizations, mode profiles, couplers etc. etc. This free package provides some similar capabilities as the commercial FIMMWave - the difference being that, upon my last usage (in 2012), CAMFR's ability to perform full 3-D propagation models was lacking, although 2-D modeling is coded quite nicely. I personally appreciate the way Beinstman setup the simulation package, the way you code up structures is quite nice. I highly recommend using this package and basing your models off of it's capabilities, if appropriate. The main drawback at this point is it's lack of compatibility with Python versions ≥2.5, which ties you to older, buggier versions of Matplotlib, PyLab etc. etc. I often had difficulty with plotting, which I did not have with newer versions of Matplotlib. However, these were not difficult to work around.

    Posted 03/21/2013
Read more reviews

Additional Project Details



Intended Audience

Developers, End Users/Desktop

User Interface

Win32 (MS Windows), X Window System (X11)

Programming Language

C++, Python



Thanks for helping keep SourceForge clean.

Screenshot instructions:
Red Hat Linux   Ubuntu

Click URL instructions:
Right-click on ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies

Briefly describe the problem (required):

Upload screenshot of ad (required):
Select a file, or drag & drop file here.

Please provide the ad click URL, if possible:

Get latest updates about Open Source Projects, Conferences and News.

Sign up for the SourceForge newsletter:

JavaScript is required for this form.

No, thanks