UniCherryGarden
Zeppelin
| UniCherryGarden | Zeppelin | |
|---|---|---|
| 3 | 8 | |
| 0 | 6,263 | |
| - | 0.2% | |
| 3.8 | 8.7 | |
| almost 2 years ago | 6 days ago | |
| Java | Java | |
| MIT License | 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.
UniCherryGarden
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No activity at Github
Really?
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Coingecko is no longer tracking Universa. All time low on Coinmarketcap rated on 25/10/2021
Coding day and night: https://github.com/UniversaBlockchain/UniCherryGarden/commits/master
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/
What are some alternatives?
PowerJob - Enterprise job scheduling middleware with distributed computing ability.
Breeze - Breeze is a numerical processing library for Scala.
universa - Universa network, node, client and API
Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.
Algebird - Abstract Algebra for Scala
Figaro - Figaro Programming Language and Core Libraries
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, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.
Smile - Statistical Machine Intelligence & Learning Engine
PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.
OpenMOLE - Workflow engine for exploration of simulation models using high throughput computing
OscaR
FACTORIE - FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.