Zeppelin
ParquetViewer
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| Zeppelin | ParquetViewer | |
|---|---|---|
| 8 | 1 | |
| 6,261 | 640 | |
| 0.4% | - | |
| 8.7 | 8.7 | |
| 4 days ago | 2 days ago | |
| Java | C# | |
| Apache License 2.0 | GNU 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/
ParquetViewer
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Fast CSV Processing with SIMD
Also, you will sleep better at night knowing that your column dtypes are safe from harm, exactly as you stored them. Moving from CSV (or god forbid, .xlsx) has been such a quality of life improvement.
One thing I miss though is how easy it is to inspect .csv and .xlsx. I kinda solved it using [1], but it only works on Windows. More portable recommendations welcome!
[1] https://github.com/mukunku/ParquetViewer
What are some alternatives?
Breeze - Breeze is a numerical processing library for Scala.
nio - Low Overhead Numerical/Native IO library & tools
Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.
LiteNetLib - Lite reliable UDP library for Mono and .NET
Algebird - Abstract Algebra for Scala
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
Figaro - Figaro Programming Language and Core Libraries
SkiaSharp - SkiaSharp is a cross-platform 2D graphics API for .NET platforms based on Google's Skia Graphics Library. It provides a comprehensive 2D API that can be used across mobile, server and desktop models to render images.
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.
Elasticsearch .NET - This strongly-typed, client library enables working with Elasticsearch. It is the official client maintained and supported by Elastic.
Smile - Statistical Machine Intelligence & Learning Engine
PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.