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sbt is the de facto build tool in the Scala community, [6] used, for example, by the Scala 2 and Scala 3 compilers themselves, [7] [8] Play Framework, and Lichess, a popular chess server. The sbt project is "bootstrapped" — it uses sbt to build itself and considers dogfooding a positive feature.
Scala runs on the Java platform (Java virtual machine) and is compatible with existing Java programs. [15] As Android applications are typically written in Java and translated from Java bytecode into Dalvik bytecode (which may be further translated to native machine code during installation) when packaged, Scala's Java compatibility makes it well-suited to Android development, the more so when ...
Chisel is based on Scala as a domain-specific language (DSL). Chisel inherits the object-oriented and functional programming aspects of Scala for describing digital hardware. Using Scala as a basis allows describing circuit generators. High quality, free access documentation exists in several languages. [4]
Karel, Karel++, and Karel J. Robot are languages aimed at beginners, used to control a simple robot in a city consisting of a rectangular grid of streets. While Karel is its own language, Karel++ is a version of Karel implemented in C++, while Karel J. Robot is a version of Karel implemented in Java.
In July 2015, Play was the 3rd most popular Scala library in GitHub, based on 64,562 Libraries. 21.3% of the top Scala projects used Play as their framework of choice. [ 28 ] Corporate users of the Play Framework have included Coursera , HuffPost , Hootsuite , Janrain , LinkedIn , and Connectifier .
Scala: Application, general, parallel, distributed, web Yes Yes Yes No Yes Yes Data-oriented programming, metaprogramming De facto standard via Scala Language Specification (SLS) Scheme: Education, general Yes No Yes No No No meta, extensible-syntax De facto 1975-2013, R 0 RS, R 1 RS, R 2 RS, R 3 RS, R 4 RS, R 5 RS, R 6 RS, R 7 RS Small Edition ...
In comparing the performance of the SPARK and C implementations and after careful optimization, he managed to have the SPARK version run only about 5 to 10% slower than C. Later improvement to the Ada middle-end in GCC (implemented by Eric Botcazou of AdaCore) closed the gap, with the SPARK code matching the C in performance exactly.
Playground Access PHP Ruby/Rails Python/Django SQL Other dbfiddle [am]: Free No No No Yes Db2, Firebird, MariaDB, MySQL, Node.js, Oracle, Postgres, SQL Server, SQLite, YugabyteDB