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JSIL
C#2011–2017
sq / JSIL · Archived

JSIL

CIL to Javascript Compiler

8Distinct people
14Mentions
0Explicit recommenders
1.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

CIL to Javascript Compiler

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 8:01:28 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year14 dated mentions

Observed mentions: 2011-06-06 23:13:21 UTC to 2017-12-13 21:03:19 UTC.

0123452011-01-01 00:00:00 UTC to 2012-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments20112012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2017

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20112011-01-01 00:00:00 UTC2012-01-01 00:00:00 UTC312
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC000
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC514
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC321
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC312

What Hacker News says

5 sources
You can absolutely do runtime code generation, you'll just be generating javascript. If you generate asm.js compatible javascript you'll be effectively JITting native code on the fly (you're just jumping through some absurd hoops to do it). There are some proof-of-concept projects out there that do runtime generation of JS on the fly for things like recompilation and such in the browser right now. I believe Shumway [1] does it (recompiling ActionScript VM bytecode to JS on the fly) and PyPy.js has an experimental JIT too [2]. The runtime library for my compiler JSIL also does a significant amount of runtime code generation to improve performance and reduce executable sizes [3]. [1] https://blog.mozilla.org/research/2012/11/12/introducing-the... [2] http://www.rfk.id.au/blog/entry/pypy-js-poc-jit/ [3] http://jsil.org/ ; https://github.com/
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In On Asm.js
SpiderMonkey isn't a shining city on a hill in this case, certainly. In my experience though the docs that are there are easier to understand, the log messages are more verbose and understandable, and the developers are easier to get help from. I think this is all just a result of the fact that Mozilla relies more on community involvement to get stuff done, so they have to be a bit more dev-friendly. The same dislike of documenting performance details and internals exists on the SM team, though. Standalone binaries with debug options like d8 and spidermonkey js.exe are great for narrowly-scoped tuning and microbenchmarks, but in the real world your app runs in the browser and you end up having to debug and profile it there. That's where the whole picture falls apart (and where Spidermonkey's tools are dramatically better). Mozilla ships t
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wo different performance analysis tools for in-browser JS that give you extremely detailed, precise performance information (JIT Inspector and SPS). They're more stable than Chrome's tools on average as well. You can literally get the browser to dump the native assembly it produced when JITting a given function. I haven't done any perf tuning in a while, so this page is probably out of date, but I've made a point of documenting the stuff I discover about each engine, and linking to sources where possible: https://github.com/sq/JSIL/wiki/JavaScript-Performance-For-M...
In Sayonara, V8
If you're seeing miserable performance in everything other than Chrome, something is probably wrong with your Javascript, or you're doing something that is only optimized in Chrome. Given that you said web workers, are you transferring a lot of data between the worker and the document? Web worker transfers are pretty expensive, so it's possible you're seeing the effect of Chrome having a faster implementation. Does your JS generate a lot of garbage, and cause GC pressure? Chrome's collector handles garbage better than Firefox because it's generational, but getting rid of GC pressure can improve performance everywhere. I feel your pain about the difficulty of profiling web workers, though. Profiling browsers in general is a pain but it seems like none of the dev tools people on any browser actually bother to make tools work with web worker
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s. In FF I strongly recommend using the SPS Profiler because it will give you incredibly detailed performance data; however I don't know if it works with web workers either: https://developer.mozilla.org/en-US/docs/Performance/Profili... My list of JS perf gotchas might contain one or two helpful details for you as well: https://github.com/kevingadd/JSIL/wiki/JavaScript-Performanc...
In Optimizing your JavaScript game for Firefox OS

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