jvarkit
Tablesaw
| jvarkit | Tablesaw | |
|---|---|---|
| 1 | 4 | |
| 467 | 3,444 | |
| - | 0.6% | |
| 8.9 | 4.3 | |
| about 21 hours ago | 26 days ago | |
| Java | Java | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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jvarkit
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APIs like this should be burnt in hell
In case you want to see a working example of what the "stylesheet" used to render the JSONx back to JSON looks like, here you go.
Tablesaw
- Tablesaw: Java Dataframe and Visualization Library
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Java streams are black magic !
Have you tried the tablesaw library? It's data frames in Java, with stream support. https://jtablesaw.github.io/tablesaw/
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Vinyl: Relational Streams for Java
Interesting. How does it compare with Tablesaw, which also claims to do grouping, joins, window functions? https://github.com/jtablesaw/tablesaw
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Does Java has similar project like this one in C#? (ml, data)
For data frames, tablesaw or anything with apache arrow interop would be a good way to go: https://github.com/jtablesaw/tablesaw
What are some alternatives?
MSPaintIDE - Programming in MS Paint
Morpheus - The foundational library of the Morpheus data science framework
DNAnalyzer - Revolutionizing DNA analysis and making it accessible to all through innovative AI-powered analysis and interpretive tools
JGraphT - Master repository for the JGraphT project
JGraphX
JUNG - JUNG: Java Universal Network/Graph Framework
GraphStream - Graphstream core
Mines Java Toolkit - The Mines Java Toolkit
Erdos - Modular and modern graph-theory algorithms framework in Java
sqliteviz - Instant offline SQL-powered data visualisation in your browser
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.