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Home/ Questions/Q 8140765
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Editorial Team
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Editorial Team
Asked: June 6, 20262026-06-06T12:16:28+00:00 2026-06-06T12:16:28+00:00

I will soon be starting a final year Engineering project, consisting of the real-time

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I will soon be starting a final year Engineering project, consisting of the real-time tracking of objects moving on a 2D-surface. The objects will be registered by my algorithm using feature extraction.

I am trying to do some research to decide whether I should use MATLAB or use Python Numpy (Numerical Python). Some of the factors I am taking into account:

1.) Experience

I have reasonable experience in both, but perhaps more experience in image processing using Numpy. However, I have always found MATLAB to be very intuitive and easy to pick up.

2.) Real-Time abilities

It is very important that my choice be able to support the real-time acquisition of video data from an external camera. I found this link for MATLAB showing how to do it. I am sure that the same would be possible for Python, perhaps using the OpenCV library?

3.) Performance

I have heard, although never used, that MATLAB can easily split independent calculations across multiple cores. I should think that this would be very useful, and I am not sure whether the same is equally simple for Numpy?

4.) Price

I know that there is a cost associated with MATLAB, but I will be working at a university and thus will have access to full MATLAB without any cost to myself, so price is not a factor.

I would greatly appreciate any input from anyone who has done something similar, and what your experience was.
Thanks!

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  1. Editorial Team
    Editorial Team
    2026-06-06T12:16:31+00:00Added an answer on June 6, 2026 at 12:16 pm

    Python (with NumPy, SciPy and MatPlotLib) is the new Matlab. So I strongly recommend Python over Matlab.

    I made the change over a year ago and I am very happy with the results.

    Here it is a short pro/con list for Python and Matlab

    Python pros:

    • Object Oriented
    • Easy to write large and “real” programs
    • Open Source (so it’s completely free to use)
    • Fast (most of the heavy computation algorithms have a python wrapper to connect with C libraries e.g. NumPy, SciPy, SciKits, libSVM, libLINEAR)
    • Comfortable environment, highly configurable (iPython, python module for VIM, …)
    • Fast growing community of Python users. Tons of documentation and people willing to help

    Python cons:

    • Could be a pain to install (especially some modules in OS X)
    • Plot manipulation is not as nice/easy as in Matlab, especially 3D plots or animations
    • It’s still a script language, so only use it for (fast) prototyping
    • Python is not designed for multicore programming

    Matlab pros:

    • Very easy to install
    • Powerful Toolboxes (e.g. SignalProcessing, Systems Biology)
    • Unified documentation, and personalized support as long as you buy the licence
    • Easy to have plot animations and interactive graphics (that I find really useful for running experiments)

    Matlab cons:

    • Not free (and expensive)
    • Based on Java + X11, which looks extremely ugly (ok, I accept I’m completely biased here)
    • Difficult to write large and extensible programs
    • A lot of Matlab users are switching to Python 🙂
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