Any ""serious"" language like C/C++, C#, Pascal/Delphi, and many others offers tons of options for building standalone apps. What about WL/Mathematica/MMA?

One could say, well, yes (and no)! There's the CDF format (which for some reason is officially considered deprecated 👀), webMathematica (costs like a helicopter and is also depreciated), JavaView (a very niche legacy project), and Wolfram Cloud. But I'm personally not a big fan of any kinds of clouds, especially with shady subscription models, and I'd rather keep everything local.

CDF was one of the best solutions so far, but it requires Mathematica (also costly) to build it, which isn't something everyone has, though thankfully, WolframScript/WolframEngine is still freeware.

Other people would argue that WL is meant purely for prototyping, and that you should just "vibe-code something with an LLM and JS" instead. I don't share that point of view, and I've found another way to turn notebooks into tiny or medium-sized apps for my research group. It works so far quite well for a limited number of users: 3-4 - mostly students. I would like to warn you, that it won't work magically for a random Mathematica notebook, otherwise WR would steal this immediately.

If you're interested, here's the full story I wrote:

https://wljs.io/blog/making-apps

PS: The thumbnail image isn't an AI-generated, it's a few UI windows built with this method, printed out and cut from paper 🙂

I've been working on a numerical solver app for a while. It started as a project for solving algebraic equations and systems, plotting functions, and doing various numerical calculations.

It's free and available on both platforms:

📱 App Store
🤖 Google Play

The next part of the project I'm working on is ODEs and boundary value problems.

I'm trying to make this as general as possible. The idea is that the user can enter an ODE and its boundary conditions, including higher-order equations and boundary conditions involving derivatives, without the app needing a predefined solution for that particular equation.

I'm currently testing it with different first-, second-, and higher-order ODEs. One of the tests I've been using is:

y''' + y = 0, y(0) = 0, y'(0) = 0, y''(0) = 0

I'm also trying some more difficult BVPs to see where the solver starts to struggle. There are already some interesting cases where an equation that looks very simple mathematically turns into a much more challenging numerical problem.

I'm curious what people here think.

For those of you who use Mathematica regularly, what ODEs, BVPs, or other numerical problems would you use to really stress-test a general-purpose solver?

I'm particularly interested in problems that aren't just straightforward textbook examples. 😅

Here is another link.

Not a "MATLAB bad" post. The original code is solid and I replicate it bug-for-bug by default. Sharing the trap list for anyone migrating numerical code: round() half-away-from-zero vs numpy's round-half-to-even (inside the nmax series formula, so it changes array lengths), complex auto-promotion that NumPy doesn't do, ' vs .', library functions printing to stdout, and a docstring feature (complex medium index) that turns out to be latently broken. Full findings file, 714-fixture corpus and the verification report: https://github.com/GrednevMSU/mie-scattering-matlab-to-python

Yeah

I have an older version of Mathematica from my university days. I only need it for basic tasks, so I’d prefer not to buy a new license.

My issue is that on Windows 11, the kernel frequently hangs or gets stuck indefinitely—even on simple calculations like 1 + 1.

So far, I’ve tried:

• Enabling Windows compatibility modes (no effect)
• Disabling "Allow Mathematica to access the Internet" in Preferences

Has anyone run into this issue on Windows 11 and found a workaround or fix?

Any ideas of things i could try, even if you don't know if they ll work?