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.
go
Posts with mentions or reviews of go.
We have used some of these posts to build our list of alternatives
and similar projects.
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Why is Mutex so much slower than using channels and unifying the data at the end?
I just did the parallel letter frequency exercise on Exercism. Out of curiosity, I tested three approaches and got these results (test code here, solution below):
gnu-apl
Posts with mentions or reviews of gnu-apl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-15.
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How can we raise the profile of the array languages? This is the topic for this Array Cast episode.
There are NO array programming tracks. There IS an effort to make BQN and (as I have seen yesterday) GNU APL a track.
What are some alternatives?
When comparing go and gnu-apl you can also consider the following projects:
python - Exercism exercises in Python.
seed7 - Exercism exercises in Seed7.
bqn - Exercism exercises in BQN.
java - Exercism exercises in Java.
ruby - Exercism exercises in Ruby.
elixir - Exercism exercises in Elixir.
javascript - Exercism exercises in JavaScript.
snobol4 - Exercism exercises in SNOBOL4.