Zeppelin
tensorflow-keras-scala
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| Zeppelin | tensorflow-keras-scala | |
|---|---|---|
| 8 | 1 | |
| 6,261 | 1 | |
| 0.4% | - | |
| 8.7 | 0.0 | |
| 7 days ago | about 2 years ago | |
| Java | Scala | |
| Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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.
Zeppelin
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Serverless Apache Zeppelin on AWS
Now we can proceed with the definition of Apache Zeppelin. It is a web-based notebook that enables data-driven, interactive data analytics and collaborative documents with Python, Scala, SQL, Spark, and more. You can execute code and even schedule a job (via cron) to run at regular intervals.
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Visualization using Pyspark Dataframe
Have you tried Apache Zepellin I remember that you can pretty print spark dataframes directly on it with z.show(df)
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Fast CSV Processing with SIMD
I used to use Zeppelin, some kind of Jupyter Notebook for Spark (that supports Parquet). But it may be better alternatives.
https://zeppelin.apache.org/
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What libraries do you use for machine learning and data visualizing in scala?
Another more widely used notebooks for scala and spark: https://zeppelin.apache.org/
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How to use IPython in Apache Zeppelin Notebook
[1] Apache Zeppelin http://zeppelin.apache.org/ [2] Zeppelin notebooks website http://zeppelin-notebook.com/. [3] Zeppelin notebooks git repo https://github.com/zjffdu/zeppelin-notebook
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BI Application in Golang.
Apache Zeppelin
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Using InterSystems Caché and Apache Zeppelin
For all who think: What the heck is Apache Zeppelin? Here are some details what the project site says:
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Is there a way to collaborate in real-time for Jupyter Notebooks?
Check out Zeppelin. It's similar to Jupyter and allows real-time editing by multiple users. https://zeppelin.apache.org/
tensorflow-keras-scala
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What libraries do you use for machine learning and data visualizing in scala?
There are Java bindings for TensorFlow, but that's quite low level. I tried to see if I can get some Keras API for Scala, but I'm no expert and haven't had enough time to invest in this, so it's stuck in alpha. Maybe I develop it slow burning over the next year. A bit envious that Kotlin has a Keras-like library.
What are some alternatives?
Breeze - Breeze is a numerical processing library for Scala.
Smile - Statistical Machine Intelligence & Learning Engine
Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.
kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras
Algebird - Abstract Algebra for Scala
java - Java bindings for TensorFlow
Figaro - Figaro Programming Language and Core Libraries
Tensorflow_scala - TensorFlow API for the Scala Programming Language
BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.
mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]
PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.