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softwaremill
macwire
Scala2017–2019
softwaremill / macwire

macwire

Zero-cost, compile-time, type-safe dependency injection library.

3Distinct people
5Mentions
1Explicit recommenders
1.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Zero-cost, compile-time, type-safe dependency injection library.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

This is part of the reason that I highly recommend compile time dependency injection (Macwire[1], Dagger 2[2]) over runtime dependency injection (Spring, Guice). It is…

eeperson used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

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, 11:56:56 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 month5 dated mentions

Observed mentions: 2017-08-18 08:07:13 UTC to 2019-05-01 01:04:43 UTC.

0122017-08-01 00:00:00 UTC to 2017-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 20172017-09-01 00:00:00 UTC to 2017-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-10-01 00:00:00 UTC to 2017-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-11-01 00:00:00 UTC to 2017-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-12-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2018-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-02-01 00:00:00 UTC to 2018-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-01 00:00:00 UTC to 2018-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-04-01 00:00:00 UTC to 2018-05-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2018-05-01 00:00:00 UTC to 2018-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-06-01 00:00:00 UTC to 2018-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 20182018-07-01 00:00:00 UTC to 2018-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-08-01 00:00:00 UTC to 2018-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-09-01 00:00:00 UTC to 2018-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-10-01 00:00:00 UTC to 2018-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-11-01 00:00:00 UTC to 2018-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-12-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2019-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-02-01 00:00:00 UTC to 2019-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-03-01 00:00:00 UTC to 2019-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-04-01 00:00:00 UTC to 2019-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-05-01 00:00:00 UTC to 2019-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 2019

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
Aug 20172017-08-01 00:00:00 UTC2017-09-01 00:00:00 UTC101
Sep 20172017-09-01 00:00:00 UTC2017-10-01 00:00:00 UTC000
Oct 20172017-10-01 00:00:00 UTC2017-11-01 00:00:00 UTC000
Nov 20172017-11-01 00:00:00 UTC2017-12-01 00:00:00 UTC000
Dec 20172017-12-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
Jan 20182018-01-01 00:00:00 UTC2018-02-01 00:00:00 UTC000
Feb 20182018-02-01 00:00:00 UTC2018-03-01 00:00:00 UTC000
Mar 20182018-03-01 00:00:00 UTC2018-04-01 00:00:00 UTC000
Apr 20182018-04-01 00:00:00 UTC2018-05-01 00:00:00 UTC202
May 20182018-05-01 00:00:00 UTC2018-06-01 00:00:00 UTC000
Jun 20182018-06-01 00:00:00 UTC2018-07-01 00:00:00 UTC000
Jul 20182018-07-01 00:00:00 UTC2018-08-01 00:00:00 UTC000
Aug 20182018-08-01 00:00:00 UTC2018-09-01 00:00:00 UTC000
Sep 20182018-09-01 00:00:00 UTC2018-10-01 00:00:00 UTC000
Oct 20182018-10-01 00:00:00 UTC2018-11-01 00:00:00 UTC000
Nov 20182018-11-01 00:00:00 UTC2018-12-01 00:00:00 UTC000
Dec 20182018-12-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
Jan 20192019-01-01 00:00:00 UTC2019-02-01 00:00:00 UTC000
Feb 20192019-02-01 00:00:00 UTC2019-03-01 00:00:00 UTC000
Mar 20192019-03-01 00:00:00 UTC2019-04-01 00:00:00 UTC000
Apr 20192019-04-01 00:00:00 UTC2019-05-01 00:00:00 UTC000
May 20192019-05-01 00:00:00 UTC2019-06-01 00:00:00 UTC101

What Hacker News says

5 sources
The benefit of a dependency injection framework is that you don't have to figure out the order of the dependency tree. If you do this work manually, then you have to make sure to instantiate things in a particular order so that dependencies are initialized before the classes that depend on them. This can be big pain if you have a large number of classes and start refactoring things. I can understand some hesitation about using a dependency injection framework. Some of them can be very hard to reason about (especially the run time frameworks). However, they don't have to be that hard to reason about. My personal favorite is a compile time dependency injection framework for scala called Macwire[1]. In scala, you might do manual dependency injection like this: val instantiated = new Class(dependency1, dependency2) With Macwire you c
Read the rest
ould write the same thing as: val instantiated = wire[Class] The wire macro above, automatically looks up dependencies by type and creates an instance of Class with those dependencies as arguments. If you combine that macro with Scala's built in support for laziness then you don't have to worry about initialization order either. This gives you something that is fairly easy to reason about (it is basically what your were doing by hand before) and will sort our necessary dependencies for you (and error out of they are missing). [1] https://github.com/adamw/macwire
In Compile-Time DI vs. Run-Time DI
So, to start, I would say that I agree with you that I like my DI logic for my application centralized, whether it's in a single or few classes or in a single or few XML files. On the other hand, people who use @Autowired or @Inject are doing the opposite; they are scattering their DI logic throughout the application, which I very much do not prefer. That said, the DI analogy breaks down a little bit when you consider that Scala implicit resolution happens at compile-time and is lexically scoped. As such, you can't override implicits that are created/resolved in other source files without editing those source files directly. You can only affect the implicits in your source files by using imports or defining implicit overrides. If you want a full-blown compile-time DI framework with centralized logic in a single location, then Scala's MacW
Read the rest
ire library seems to be the best example: https://github.com/adamw/macwire Scala's implicits can be seen as some kind of lightweight DI system, but it is definitely not meant to be used to wire together an application at the top-level.
In Implicit Scope and Implicit Resolution in Scala
I agree that most application-level code doesn't need new macros (you rarely have to develop a new macro to add a feature to an application) but there are definitely a lot of very legitimate use-cases for them outside of Shapeless. To give just a few: * https://github.com/adamw/macwire * https://github.com/fthomas/refined * https://github.com/adamw/quicklens * https://github.com/scala/scala-async * https://github.com/typelevel/machinist Even for cases where inductive implicits can do the job, there is still a bit of a push to prototype with shapeless and then rewrite with direct derivations of your instances later on to improve compile times. See e.g. https://github.com/circe/circe-derivation.
In Reasonable Scala Compiler

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