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Ravenbrook
mlworks
Standard ML2013–2016
Ravenbrook / mlworks

mlworks

MLWorks is a Standard ML compiler and development environment.

3Distinct people
3Mentions
0Explicit recommenders
182GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

MLWorks is a Standard ML compiler and development environment.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM 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 year3 dated mentions

Observed mentions: 2013-05-02 21:20:03 UTC to 2016-02-24 16:08:30 UTC.

0122013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20132014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 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): 2 mentions; 0 submissions, 2 comments2016

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
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC101
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
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 UTC202

What Hacker News says

3 sources
Years ago I worked on an SML parser that used LR tables, on errors (ie. with no valid transition) it would try to find a symbol to insert/delete/modify that would allow parsing to continue. It dealt reasonably well with simple errors, though ML syntax is a bit flexible - function application is juxtaposition and it has user-defined infix operators (to deal with them, the parser would resolve reduce-reduce and reduce-shift conflicts dynamically by calling a function at runtime). Code is here, in fact: https://github.com/Ravenbrook/mlworks/blob/master/src/parser...
In LL and LR in Context: Why Parsing Tools Are Hard (2013)

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