Scala 3.2 released!

This page summarizes the projects mentioned and recommended in the original post on /r/scala

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub helps you find the best software and product alternatives
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  • ocaml

    The core OCaml system: compilers, runtime system, base libraries

  • Note on a minor point (I'm not a Scala regular and don't know what's a good way to contact the authors of the post): the git shortlog -n -s output shows some repeated entries that add noise and make it harder to understand the volume of contributions, for example Martin Odersky and Ondřej Lhoták both occur twice in the list. The solution to this problem is to maintain a .mailmap file to merge the committer identities together in the output of git log, git shortlog etc. I do this for the OCaml compiler implementation for example: https://github.com/ocaml/ocaml/blob/trunk/.mailmap. The same file can be used to record contributor email or naming preferences.

  • dotty

    The Scala 3 compiler, also known as Dotty.

  • This was taken care of recently: https://github.com/lampepfl/dotty/pull/15540/files

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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