I love Rust for mathematical and scientific tasks (I am building the structural bio crate infrastructure), and I love Mathematica and have a personal sub. I should be the audience, but... What makes Mathematica great, IMO, is the polish and overall experience created by consistent work with applications in mind over decades. So, I look at this project with skepticism regarding its utility.
Sure, but you've got to start somewhere! And with the amount of progress I was able to make in just a few weeks, I'm very optimistic that the polish will come sooner rather than later.
Based on the list of contributors to your project, I am not sure this starting location is optimally suited to the task of building a foundation for polished, reliable, expandable software.
The notebooks were THE thing of Mathematica, at least to me.
12 years ago, as I was finishing my PhD in quantum optics, I wanted to migrate to the stack used in industry - and picked Python. Also, that way I was an early adopter of Jupyter Notebook, as it captured what was need + was open.
Now Mathematica notebooks (still remember, it is .nb) do not have the novelty factor. But they were the first to set a trend, which we now take for granted.
That said, I rarely use notebooks anymore. In the coding time, it is much easier to create scripts and ask to create a visualization in HTML.
I disagree, the language itself is one of the more elegant parts of the system, and enables a lot of the rest of the elegance.
From a purely programming language theory, it's pretty unique.
I once tried to find a language that had all the same properties, and I failed. The Factor language is probably the closest. But they are still pretty different.
The relevant programming paradigm is string/term rewriting, which is featured in other programming languages such as Pure. It seems to have few direct applications outside of symbolic computing itself, compilers and related fields such as PL theory. (Formal calculi and languages are often specified in PL theory as rewrite rules, even though the practical implementation may ultimately differ.)
Hi, I'm the main developer. We're steadily getting closer to the next release which will support most features of Mathematica 1.0 plus some of the most popular newer functions (> 900 overall!). AMA!
There's a mystique around Mathematica's math engine. Is this groundless, or will you eventually run into problems getting correct, identical answers -- especially for answers that Mathematic derives symbolically? The capabilities and results of the computer algebra systems that I've used varied widely.
Hard to tell honestly. So far there was always some surprisingly straight forward solution If had any problems with the math engine. There is actually a lot of public research how equations can be solved/simplified with computer algorithms. So I'm optimistic.
I also stumbled upon a few cases where Mathematica itself didn't quite do things correctly itself (rounding errors, missing simplifications, etc.). So maybe it's actually a little overhyped …
Interesting, thanks for sharing. Naive question as I'm not familiar with Mathematica much (but aware of it and Wolfram Alpha and related tools), how does it compare to e.g. Jupyter or Julia or maybe another language (with its framework) that might be even closer?
It's a worthwhile effort. If successful, Woxi can enable a large mass of scientists and engineers who don't have access to Mathematica to run legacy code written for it. Also, Woxi would give those scientists and engineers who regularly use Mathematica a non-proprietary, less restrictive alternative, which many of them would welcome.
How does Woxi compare to other "clean-room implementations"[a] of the same language?
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[a] Please check with a lawyer to make sure you won't run into legal or copyright issues.
For folks who are considering passing, note that there is a "Jupyter Lite" mode in addition to "Woxi Studio" --- seems very promising and the former addressed my first concern out-the-gate.
I was wondering what's stopping some employee from something like Mathematica from taking the source code and having an agent port it to open source. Or even reconstruction from the manual. Who owns an algorithm?
Such a massive undertaking would be almost impossible without AI agents, so yeah, they help me. But with around 5000 tests, they are actually helping to improve the software quality!
SPSS is hilariously painful to use. Still it's only losing ground ever so slowly.
Now Mathematica notebooks (still remember, it is .nb) do not have the novelty factor. But they were the first to set a trend, which we now take for granted.
That said, I rarely use notebooks anymore. In the coding time, it is much easier to create scripts and ask to create a visualization in HTML.
From a purely programming language theory, it's pretty unique.
I once tried to find a language that had all the same properties, and I failed. The Factor language is probably the closest. But they are still pretty different.
It's a worthwhile effort. If successful, Woxi can enable a large mass of scientists and engineers who don't have access to Mathematica to run legacy code written for it. Also, Woxi would give those scientists and engineers who regularly use Mathematica a non-proprietary, less restrictive alternative, which many of them would welcome.
How does Woxi compare to other "clean-room implementations"[a] of the same language?
--
[a] Please check with a lawyer to make sure you won't run into legal or copyright issues.
How close is it to being able to run rubi: https://rulebasedintegration.org/?
Better license? Allowed for commercial operations?
- Faster startup time because of no license check
- Can run multiple instances of Woxi at the same time
- Embeddable via WASM
- Configurable via compile time flags (which features should be included)
- …
Here is e.g. all the values for the Plus[] function:
$ wolframscript -code 'WolframLanguageData["Plus", "Ranks"]' {All -> 6, StackExchange -> 8, TypicalNotebookInputs -> 5, TypicalProductionCode -> 6, WolframAlphaCodebase -> 6, WolframDemonstrations -> 4, WolframDocumentation -> 4}
I was wondering what's stopping some employee from something like Mathematica from taking the source code and having an agent port it to open source. Or even reconstruction from the manual. Who owns an algorithm?
Will everything get copied eventually?
Laws against theft. Also the same reason employees don't release the code on pastebin or something.
> Who owns an algorithm?
The org or person who was granted the software patent. https://en.wikipedia.org/wiki/Software_patent
> Will everything get copied eventually?
If we're lucky. More likely everything bitrots as technical capabilities are lost. Slowly at first, then quickly.