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.

Project Activity

See All Activity >

Categories

Simulation

License

Other License, GNU General Public License version 2.0 (GPLv2)

Follow CAMFR

CAMFR Web Site

Other Useful Business Software
Enterprise-grade ITSM, for every business Icon
Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Try it Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
1
0
0
0
0
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

User Reviews

  • 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.
    1 user found this review helpful.
Read more reviews >

Additional Project Details

Operating Systems

Linux, BSD, Windows

Languages

English

Intended Audience

Developers, End Users/Desktop

User Interface

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

Programming Language

Python, C++

Related Categories

Python Simulation Software, C++ Simulation Software

Registered

2001-08-22