Hydraulic Conveyor VS Numba

So much effort, just to run Xcode remotely. For those of you who want to ship code to macOS from CI (e.g. Electron apps), you should check out my companies product at https://hydraulic.dev/ ... It lets you package, sign, notarize and upload self-updating Mac apps from any OS including Linux. Amongst other things it bundles Sparkle on the fly also, so you don't have to deal with Squirrel, and it can do the same... - Source: Hacker News / 4 months ago

I work on a tool that simplifies deploying desktop apps, and we're looking at what improvements the Electron community might benefit from the most. It'd be great to get feedback on where your biggest pain points are and what you'd find most valuable in such a tool. Source: 7 months ago

You could try experimenting with Hydraulic Conveyor [1]. I built it originally due to the frustrations involved in distributing P2P software during my old Bitcoin days so you won't get any hate from me about that ;) Conveyor can package Electron apps and also do all the Mac specific stuff from any platform including Linux. So it can sign, notarize and staple the app itself, also bundling Sparkle updates as it... - Source: Hacker News / 9 months ago

What do you think is a fair price for a solo dev trialling a small app? I'm asking because my firm makes a competitor to ToDesktop (sort of) [1], and this is a question we often get. It's free for open source apps and cheaper than ToDesktop, but the "I just want to trial an idea and not spend any money on it" use case isn't well supported by this pricing model. One possibility is a trial period, but then how long... - Source: Hacker News / 9 months ago

Apple bundles compared to Flatpaks: • Both use reverse DNS to globally identify themselves, neither actually verifies DNS ownership. • Almost everything is a bundle, except for CLI apps. FlatPaks on the other hand are being auto-converted from previous packaging systems. • Bundles don't have dependencies. In theory they can, but in practice they never do. You depend on macOS/iOS as a unitary platform and bundles... - Source: Hacker News / 9 months ago

I believe it is using Numba which converts to machine code. https://numba.pydata.org/. - Source: Hacker News / 2 months ago

Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code. - Source: dev.to / 8 months ago

Or you use numba [1]. Then you can use a subset of plain Python. [1] https://numba.pydata.org/. - Source: Hacker News / 8 months ago

Simulations are, at least in my experience, numba’s [0] wheelhouse. [0]: https://numba.pydata.org/. - Source: Hacker News / 10 months ago

That's very cool. Numba introduces just-in-time compilation to Python via decorators and its sole reason for being is to turn everything it can into abstract syntax trees. Source: 11 months ago