expound
Human-optimized error messages for clojure.spec (by bhb)
spec-examples
Some examples on using clojure.spec! (by tiagodalloca)
expound | spec-examples | |
---|---|---|
1 | 1 | |
919 | 48 | |
- | - | |
3.8 | 0.0 | |
about 2 months ago | almost 4 years ago | |
Clojure | Clojure | |
Eclipse Public License 1.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
expound
Posts with mentions or reviews of expound.
We have used some of these posts to build our list of alternatives
and similar projects.
-
What I learned about JavaScript and React from writing ClojureScript
I like to layer expound on top of Spec in development to get human readable messages. I'm sure some of the other specing libs have something similar.
spec-examples
Posts with mentions or reviews of spec-examples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-13.
-
Looking for my first Clojure job!
Spec usage examples
What are some alternatives?
When comparing expound and spec-examples you can also consider the following projects:
coffee-machine - A Coffe Machine for all your coffeeholic needs
enem-data - Enem (English: National High School Exam) microdata analysis using Clojure, Spark and Deeplearning4j. What could sound cooler than that?