PSeitz

So if this is hard to understand, the conclusion, in simple words:

the memory consumption for a javascript editor will be a magnitude bigger than native.

In my example 66Mb Sublime vs 620MB VS Code (no plugins)

V8 has some limits on memory allocation. I don't know why. I guess the engine allocators are not optimized to handle very large allocations.

The memory consumption is a magnitude larger in JavaScript than native.

http://benchmarksgame.alioth.debian.org/u64/compare.php?lang...

If V8 can't handle it, there is no way Atom will handle it. Some would assess this as major software design issue (yeah I mean me).

Well, JavaScript is single threaded...

pocketsphinx is too bad to be useful. I even tried to train special speech models with no luck.

I guess we need something new and shiny here in the open source space, probably based on neural networks

an apple fanboy dislikes android, quelle surprise

Facebook = trash is also already deeply ingrained in my brain

Once ES6 is widely supported, and a transpiler is not necessary anymore, people will switch to pure ES6.

Obvious fiction. Nice story, but I don't like fiction masked as real.

Or some advertising on several very popular accounts ...

Makes rather tired than focused

This is just to protect customers. </irony>

That problem is that it is not a thin wrapper. You can see that in various performance comparisons that jquery is much slower.

http://stackoverflow.com/questions/11503534/jquery-vs-docume...

http://vanilla-js.com/ is also pretty small

That's what I would call analogy madness.

Asks for premium before I really tried.

For me SRS worked splendid inside the flashcard environment so far. I'm pretty solid on 500 japanese characters now, but I also learn related words of the characters simultaneously.

The codebase must be pretty horrible when switching members all 3 months.

I made this app, since I wanted to have something similar to imiwa on android. You can drop in anything e.g. japanese in romaji, conjugated japanese verbs, japanese sentences. It will analyze the text and find the best entries according to similarity and word frequency. Underlying dataset is JMDict from Jim Breen. It's free.

Same on android, my japanese dictionary checks the clipboard for automatic searches. I was surprised that it didn't require any authorizations.

https://play.google.com/store/apps/details?id=com.cal.pas.ul...

Not everyone has a twitter account, and not everyone wants one.

I would be very interested in benchmarks comparing it to the native version

Yeah, except in games ...

Don't blame others for your fault.

this works impressively well

Where is disk 22?

Someone can compare it to sourcecode pro?

It's not, bootstrap gives you a nice starting point to design your application.

Actually you should start several tasks at once, because there is almost always something blocking one of your tasks (pending design decision, dependencies to other code/coders).

Could you shed some light on your algorithms (how you declare something as Common, Uncommon) and datasources (JMDict, tatoeba) ?

Disclaimer: I am developing a free japanese dictionary for android