kotlin-spark-api
This projects gives Kotlin bindings and several extensions for Apache Spark. We are looking to have this as a part of Apache Spark 3.x (by Kotlin)
PyCall.jl
Package to call Python functions from the Julia language (by JuliaPy)
| kotlin-spark-api | PyCall.jl | |
|---|---|---|
| 3 | 28 | |
| 440 | 1,438 | |
| 0.7% | 0.3% | |
| 4.4 | 6.1 | |
| 24 days ago | about 2 months ago | |
| Kotlin | Julia | |
| Apache License 2.0 | 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.
kotlin-spark-api
Posts with mentions or reviews of kotlin-spark-api.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-23.
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What are your favorite Apache Spark open source libraries?
https://github.com/Kotlin/kotlin-spark-api this definitely needs to be in the language bindings section 😅
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Migration from Scala to Kotlin
Kotlin should mostly have no problems being called in Scala. Give kotlin-spark-api a look to figure out how would that work the other way around.
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From First Principles: Why Scala?
Scala is nice for doing things with Spark compared to say, Java, but I really think that Kotlin can do just as well. The only advantage Scala has with Spark is the syntactic sugar. Once there is an API for Kotlin (beyond the preview version), I will be dropping Scala like a bad habit. Kotlin is also concise, has better IntelliJ support, and better Java interop.
https://github.com/JetBrains/kotlin-spark-api
PyCall.jl
Posts with mentions or reviews of PyCall.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
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I just started into Julia for ML
For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).
- The Mojo Programming Language: A Python Superset Drawing from Rust's Strengths
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Calling Chapel, Carbon, and zig code in Julia
PyCall.jl is really handy. Are there any similar projects for calling Chapel code, or Carbon/zig?
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Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
Julia and Python interop should not be a problem at all. Actually Julia has one of the best interops I’ve ever seen, so much that swift copied it. https://github.com/JuliaPy/PyCall.jl
- Which tools do you use for python + Data Science?
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I don't want to abandon Rust for Julia
One small note, julia also has great python interop via PyCall.jl
- Faster Python calculations with Numba: 2 lines of code, 13× speed-up
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Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
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Why is Python so used in the machine learning?
That said, you can run python modules in Julia. So you can just export your code as a module and then use it in Julia via the PyCall package. short description here github here <— you’d just add the pacakge via the really nice package manager built into julia, but for link for more detailed documentation
- Use rust code in Python with pyo3