Yes, I did because someone DMed me that MathWorks does allow downloads of old versions of Matlab, so I edited it to change the incorrect claim.
I wonder whether that old license file works, though.
I have a fair few Mathematica notebooks created in versions 7, 8, and 9 that are sitting on my hard drive waiting for me to buy a new license so that I can open them again. Fortunately nothing of value, in my case.
Iâm using matlab (at work) with a network license and sometimes run old versions (2015 etc.) of matlabs on VMs (getting old OS/linux versions is actually more tricky than matlab itself) and this just works.
Is it, though? I think the concerns around âJulia+â have been discussed enough already, but what if he actually meant something else?
What happens when (not if) JuliaComputingâs venture capital investors expect to receive a big(ger, if not necessarily unicorn-level) return on their substantial investment?
One monetisation pathway could be to start pushing more and more useful/important features into JuliaComputingâs proprietary/cloud offerings (i.e., external to the Julia itself), maybe somewhat like Mathworksâ Matlab Toolboxes [1].
JuliaComputing rightly prides itself of having all creators of the language as their founders (as opposed to, say, Anaconda Inc. for Python), so they can control a lot of Julia mindshare and development direction. I think this makes it less likely that useful but proprietary features get an alternative open implementation by the motivated community.
That way, the language keeps all the openness features emphasized above, and people are not required to âpay for using the Julia languageâ, but the Julia ecosystem can still be nicely leveraged into ROI.
[1] possibly weâre already seeing the beginnings of this, as judging from remarks Iâve seen/heard, a standard component library for MTK seems to be destined to end up as a JuliaComputing offering instead of open-source, like e.g. Modelicaâs MSL.
fwiw, I hope Iâm wrong and just too jaded by seeing how VC influence plays out!
How is this different from Guido van Rossum working at Google, Dropbox and now Microsoft? Or Go being de facto controlled by Google? Or Swift by Apple? Or Rust by Mozilla? Everyone gets paid somehow. Do you trust megacorps more for some reason? I doubt it. Instead, I suspect itâs because you trust the individuals in charge of those projects to not be unduly influenced, regardless of their employer.
Looks open source to me
Everybody wants Julia to be successful and for its developers to be successful, and Iâm sure the JC team are well-intended and capable technologists. But for me, my concerns are mainly not a matter of trusting those individuals. When investing in a foundational technology, I donât want to rely on a single company. Incentives stemming from Julia Computingâs $28.6M investor obligations are only a small part of the riskâany single company would have some incentive structure that is not perfectly aligned with the broader communityâs.
It is useful to consider two kinds of projects: those that are principally controlled by a single company, and those with distributed control.
Python is managed by the Python Steering Council, chosen by election from the core developers, and the nonprofit Python Software Foundation (PSF). It has been led by a distributed group of core contributors including van Rossum for a long time. âPythonâ and âPyConâ are trademarks of the PSF.
PostgreSQL has an âunwritten rule that the Postgres core team should not have over half of its members from a single companyâ and quickly expanded the Core Team after an acquisition merged large employers in order to resolve the issue.
Rust Core Team member Steve Klabnik wrote recently in a thread beginning âI refuse to let Amazon define Rustâ:
In the beginning, Rust did have one sole patron: Mozilla. Everyone was uncomfortable with that arrangement, including Mozilla.
We spent years trying to get away from this situation. It had tons of negative effects.
Go and Swift each are essentially controlled by a single company. The companyâs incentives drive the direction of the language and its ecosystem. Swift is regarded as an excellent language but has little adoption outside Apple-product developers.
Looking at Juliaâs GitHub contributors of the last two years, I count 6 of the top 10 are employees of Julia Computing. The ecosystem packages are also largely supported by Julia Computing. The âJuliaâ name and logo are owned by Julia Computing and Stefan, respectively. In 2017, there was discussion about transferring the IP to a foundation but I havenât seen movement on that. On the other hand, the JuliaCon proceedings committee isnât a Julia Computing team.
I know Julia Computingâs contributions to the language and its ecosystem are massive, and the largest contributors perhaps unavoidably have the largest influence on the language. I donât know in what ways the concentration of control and funding risk harming the language ecosystem as a whole, or how these risks can be avoided. But itâs worth looking for ways to mitigate such problems before they arise. I hope these discussions continue until that risk fades away.
I think if people are worried that too many of the Julia contributors work at Julia Computing, itâs worth thinking through the universe of potential fixes:
- You remove some of the current Julia Computing people from the main contributor group.
- You add more non-Julia Computing people to the main contributor group.
Iâd even say that the single best group of people to provide the staffing for (2) are the people worried about the current setup since they have a clear incentive to fix something that matters to them.
The remedies to concentration may include other options â for example, one not listed was âremove some Julia contributors from Julia Computingâ (joke).
Part of the motivation for my comment is to suggest that this is an issue that affects the community as a whole. Julia Computing employees themselves, having so much at stake in the future of the language, might be well placed to work on solutions, as did major-contributor employees in some of my examples.
There are other ways of diffusing influence, such as defining a Core Team of decision-makers who might influence the direction of the language; funding a foundation to choose and provide development grants to independent developers, and so on. I encourage people to think broadly about how the language community can ensure its user base is represented in its contributor base and leadership.
this is vacuous, in the end, language design/direction is a technical challenge, itâs about who has the ability and does what. On one extreme, letâs say outside of JuliaComputing there are only novice users (this is not the reality btw, many top contributors are not JC), do you expect if somehow the community elect some âusersâ to a committee will solve the issue, if these users donât know the details?
In the end the only âsolutionâ (I donât even see a problem tbh, itâs just a reality that is common in numerous FOSS projectsâ life cycle)
and you can be assured that this will happen if Julia becomes successful, after all, if Julia doesnât get used by enough people, the world couldnât care less what we do with âyet another programming languageâ. This process takes time but I really donât see thereâs any âproblemâ, if you go back to 2014 would you say Julia was in a horrible condition because basically all top contributors are JC?
Thanks, I was not aware of this yet (only âannouncementsâ to expect, or pointers toward JuliaSim)! Happy about this brand-new development (and to be proven wrong), it makes MTKâs case much stronger imo!
As of today, one great incentive to youngsters contributing to the core Julia is the possibility of becoming a JC employee, which is probably one of the coolest places to work in computer science now.
One curiosity is how this mechanism of 1) new independent contributors appearing 2) they being incorporated to JC is taking place. Is that common?
I think it might actually be more common for new significant contributors to the language to end up at the Julia Lab at MIT (as PhD students or RSEs) than to end up at Julia Computing.
Though I am aware of both happening in the last 6 months.
So quick question then â weâve considered at some point possibly rewriting our commercial products in Julia (currently C/C++). Are you saying that if we write our software in Julia we need to MIT license it, i.e. distribute our software and source-code for free? That doesnât seem very liberal and permissive?
That is not true as mentioned earlier:
You can read more about the MIT license here. The only requirement to follow when redistributing a copy and/or modification is to include:
- The original copyright notice
- A copy of the license itself
I think the important thing here, which is honestly a bit vague in the formulation of the license, is that you (afaict) must only provide the notice in relation to the redistributed code. So you can license your code however you want, but the part of your program that is redistributed must be accompanied by its original license. But you can say âFiles a, b and c are part of Julia and covered by the MIT license:â
No
Ah, that makes a bit more sense â youâre right that (if youâre correct) is a subtlety-stated point. Glad to know the MIT license doesnât âinvadeâ the rest of a codebase.
So, that discussion was somewhat beside the question you were asking. There was never any disagreement about whether you can choose what license you want on your own code. The discussion was about whether someone could fork and release the code of Julia, the language itself, with the compiler and everything, under a different license.
The freedom to license your own Julia code how you like was never in dispute.
Right, thatâs what I thought we were talking about, but then reading this:
âSomethingâ â could be anything
âSubstantial portionâ â if +90% of our codebase was written in Julia and we redistribute Julia for API purposes, that would probably qualify as substantial.
It wouldnât have thrown me off as much if it hadnât come from a co-founder / co-creator of Julia.