Zeppelin
Squants
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Zeppelin | Squants | |
---|---|---|
8 | 8 | |
6,261 | 910 | |
0.4% | 0.1% | |
8.7 | 2.9 | |
6 days ago | 5 days ago | |
Java | Scala | |
Apache License 2.0 | Apache License 2.0 |
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/
Squants
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Improving our safety with a physical quantities and units library
Scala's squants library is a nice implementation of units-of-measure/dimensional-analysis http://www.squants.com
In particular it uses types for dimensions; whilst units are just constructors. Hence `Meters(2)` and `Microns(7)` have the same type (`Length`).
- Show HN: Numbat – A programming language with physical dimensions as types
- The type system is a programmer's best friend
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Is Scala a good choice for a data intensive web backend?
squants for the “Market” package to use in financial calculations.
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Please put units in names
take a peek at https://www.squants.com looks like not in your language, but maybe you can apply some same concepts
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Atlas, a (hopefully) better engineering IDE
You might find the Squants library for Scala interesting; it even seems like an apt usage of some oft-questioned language features.
https://github.com/typelevel/squants
- Ratio Templates?
What are some alternatives?
Breeze - Breeze is a numerical processing library for Scala.
Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.
Axle - Axle Domain Specific Language for Scientific Cloud Computing and Visualization
Algebird - Abstract Algebra for Scala
PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.
Figaro - Figaro Programming Language and Core Libraries
Spire - Powerful new number types and numeric abstractions for Scala.
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.
rscala - The Scala interpreter is embedded in R and callbacks to R from the embedded interpreter are supported. Conversely, the R interpreter is embedded in Scala.
Smile - Statistical Machine Intelligence & Learning Engine
Compute.scala - Scientific computing with N-dimensional arrays