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onsi
gomega
Go2013–2017
onsi / gomega

gomega

Ginkgo's Preferred Matcher Library

4Distinct people
4Mentions
0Explicit recommenders
2.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Ginkgo's Preferred Matcher Library

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 4:00:59 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 year4 dated mentions

Observed mentions: 2013-10-10 10:56:19 UTC to 2017-12-11 12:27:17 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 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20152016-01-01 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): 2 mentions; 1 submissions, 1 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
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 UTC110
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 UTC211

What Hacker News says

1 sources
(context: i've been working mainly with python, and have almost no experience with go) My initial reaction to the example was that it looked like something that could be easily unit-tested, without the added layer of BDD over the top. But that's probably just a symptom of the example appearing as something that would be simple to build and test. E.g. in python i'd translate `Expect(scoreKeeper.Stats["Manning"]["Touchdowns"]).To(Equal(1))` to `assert scoreKeeper.Stats["Manning"]["Touchdowns"] == 1` which is essentially the same, but only uses one bit of machinery (assert) rather than three. That said, the more ways to test things the merrier. I think if you are interested in testing larger chunks of functionality / user-facing bits of behaviour rather than invariants of the building blocks of your program, then perhaps BDD starts to look m
Read the rest
ore appealing, so the two approaches seems complementary. Having an expressive static type system is again complementary, as that prevents you from making many trivial errors, and you just have to test for the remaining ones that the type system cannot express. (i miss that in python) after a little dig through the code, it looks like "EXPECT foo TO EQUAL barr" translates as https://github.com/onsi/gomega/blob/master/gomega.go#L15 https://github.com/onsi/gomega/blob/master/actual.go#L27 https://github.com/onsi/gomega/blob/master/actual.go#L48 https://github.com/onsi/gomega/blob/master/matchers.go#L7 https://github.com/onsi/gomega/blob/master/matchers/equal_ma... so there's lots of `interface{}`s and reflection and so on
In BDD testing for golang: Ginkgo and Gomega

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