reanimate VS mgmt

Reanimate sounds almost ideal, with its support for LaTeX. But unfortunately, it is all rendered in batch, not providing for any interactivity.

Is this the discussion you're referring to? https://github.com/reanimate/reanimate/discussions/210

It's actually pretty interesting to read. The author makes a not totally unreasonable argument as for why it uses unsafePerformIO.

Now what I'm really curious about is why the very first example on the site I clicked into the source code for, a simple 59-line example, is using unsafePerformIO. That actually worries me more because it suggests that as a user I might have to use unsafePerformIO. https://github.com/reanimate/reanimate/blob/d4d3898831edb4aa...

Not really dashboard library, but reanimate is a good library for this kind of stuff.

Some other "applications" (if you're not interested in compilers) might be writing shell scripts: https://hackage.haskell.org/package/turtle Or animating stuff: https://github.com/reanimate/reanimate and https://hackage.haskell.org/package/gloss

That aside, it seems that svg-tree doesn’t support filter elements, so I recommend reanimate-svg. You can join the Discord server for Reanimate and ask for help. Good luck.

See also reanimate, a very similar Haskell library: https://reanimate.github.io/

This is very niche, but something I've wanted to do for a while is to generate some cool physics example on the surface of a sphere with https://hackage.haskell.org/package/hamilton, and display it with https://reanimate.github.io/ (using https://hackage.haskell.org/package/linear for the projection)

Hi u/Target_Organic, I wich you a warm welcome! Haskell is often very satisfying to work with, it has a sense of beauty in it. Regarding your questions: 1. I never had big problems about performance. However, I personally place more emphasis about correctness, simplicity and readability of my programs. Performance tuning comes after. 2. For graphic libraries, I know diagrams, Reanimate and Haskell-chart. Since you seems interested by mathematical approach to graphics, I think you will find happiness there. 3. I'm not sure about the AI field. Other, more practical languages such as Python seems to have taken the lead. What is sure for me, that Machine Learning/NN would be nicely describe in Haskell with solid foundations.

> I think etcd is basically a k8s only project now

I hate etcd with the best of them, but etcd is used in a lot more places than just kubernetes:

https://github.com/apache/apisix/blob/master/docs/en/latest/...

https://github.com/traefik/traefik#:~:text=Etcd,

https://github.com/zalando/patroni#patroni-a-template-for-po...

https://github.com/purpleidea/mgmt/tree/0.0.26/etcd (this one shows up on HN quite a bit)

https://github.com/sorintlab/stolon#features

It's actually one of the major reasons I wouldn't touch those projects

This is a new provisioning tool built with https://github.com/purpleidea/mgmt/ that I hope both provides great value and also demonstrates the start of a new way to build certain kinds of software.

Thanks for reading!

I've looked briefly into this project before. Some ideas are similar to what I'm doing in https://github.com/purpleidea/mgmt/ but the really weird thing is that I have no idea who's behind this language. A person? A company? A small group? Are they anonymous for some reason or am I oblivious?

I don't generally believe in orchestrators (they miss the point, things are not single computers and neither is the world) and so I have that feedback here but also for:

> Airflow/Cadence/Temporal/Databuilderframework?

Which don't really think about modelling non-centralized things.

This of course doesn't mean they're not useful, it's just that they don't have what I believe is a good long-term value proposition.

I'm incredibly biased because I'm working on programmatic, real-time modelling of distributed systems with https://github.com/purpleidea/mgmt/

The DAG concurrency stuff feels familiar to what I've been doing with our language, mcl. https://github.com/purpleidea/mgmt/

Our goal is NOT a general-purpose turing-complete language like this one is, but we do some amazing lock-free, DAG concurrency things to achieve the processing wins.

I don't think it's good news, but why is anyone surprised? Nobody wants to pay for open source.

Companies want it for free, and individuals don't have enough luxury time to be able to do it themselves.

Prove me wrong and help patch or fund https://github.com/purpleidea/mgmt/ and you'll have an even better replacement for terraform!

Individual here, not a company. We'd love contributors to https://github.com/purpleidea/mgmt/

Eventually decided puppet wasn't a good enough tool to be able to autonomously deploy and continuously manage such clusters. So I started working on this https://github.com/purpleidea/mgmt/ project. Not quite MVP yet, but trying to get there soon. Got distracted along the way with having to work real jobs (Red Hat, Amazon) to pay bills.