3 ms·

How about tooling/the ecosystem? Python has all the scipys, pandas, scikits, tensorflows, pytorches.

• bmc7505 6y ago
  The tooling is ahead in some ways and behind in others. As a statically typed language, Kotlin's autocompletion and static analysis is already miles ahead. More broadly, the JVM has a rich ecosystem of libraries for data processing, from natural language processing (CoreNLP) to big data analytics (Spark). If you're looking for something similar to Pandas/Numpy/Matplotlib, maybe check out Krangl [1], EJML-Kotlin [3] or lets-plot [4]. There are also efforts to port TensorFlow [5] and PyTorch [6] to the JVM. While not all libraries as mature as their Python cousins, there are a growing number of native libraries and JVM wrappers for scientific computing, which provide most of the functionality and are very ergonomic to use in Kotlin. [1]: https://github.com/holgerbrandl/krangl https://github.com/holgerbrandl/krangl [2]: https://github.com/mipt-npm/kmath https://github.com/mipt-npm/kmath [3]: https://github.com/lessthanoptimal/ejml/tree/SNAPSHOT/main/ejml-kotlin https://github.com/lessthanoptimal/ejml/tree/SNAPSHOT/main/e... [4]: https://github.com/JetBrains/lets-plot-kotlin/ https://github.com/JetBrains/lets-plot-kotlin/ [5]: https://github.com/tensorflow/java https://github.com/tensorflow/java [6]: https://github.com/pytorch/java-demo https://github.com/pytorch/java-demo