Software Alternatives, Accelerators & Startups

RapidMiner VS Deeplearning4j

Compare RapidMiner VS Deeplearning4j and see what are their differences

RapidMiner logo RapidMiner

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Deeplearning4j logo Deeplearning4j

Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.
  • RapidMiner Landing page
    Landing page //
    2022-06-12
  • Deeplearning4j Landing page
    Landing page //
    2023-10-16

RapidMiner videos

RapidMiner Review - Predictive analytics software review

More videos:

  • Review - Analyzing Customer Reviews with MonkeyLearn and RapidMiner
  • Review - SENTIMENT ANALYSIS OF MOVIE REVIEW USING RAPIDMINER FROM EXCEL FILE

Deeplearning4j videos

Deep Learning with DeepLearning4J and Spring Boot - Artur Garcia & Dimas Cabré @ Spring I/O 2017

Category Popularity

0-100% (relative to RapidMiner and Deeplearning4j)
Data Science And Machine Learning
Data Science Tools
90 90%
10% 10
Machine Learning
0 0%
100% 100
Python Tools
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare RapidMiner and Deeplearning4j

RapidMiner Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: RapidMiner offers a data science platform that enables people of all skill levels across the enterprise to build and operate AI solutions. The product covers the full lifecycle of the AI production process, from data exploration and data preparation to model building, model deployment, and model operations. RapidMiner provides the depth that data scientists...

Deeplearning4j Reviews

We have no reviews of Deeplearning4j yet.
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Social recommendations and mentions

Deeplearning4j might be a bit more popular than RapidMiner. We know about 4 links to it since March 2021 and only 3 links to RapidMiner. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

RapidMiner mentions (3)

  • I need help lol
    RapidMiner: A data science platform that offers an automated EDA process, including data preprocessing, visualization, and analysis. Source: over 1 year ago
  • Intro to Py-Arrow
    I hope this blog empowers you to start digging deeper into Apache Arrow and helps you to understand why we decided to invest in the future of Apache Arrow and its child products. I also hope it gives you the foundations to start exploring how you can build your own analytics applications from this framework. InfluxDB’s new storage engine emphasizes its commitment to the greater ecosystem. For instance, allowing... - Source: dev.to / over 1 year ago
  • Data Science toolset summary from 2021
    Rapidminer - RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. Link - https://rapidminer.com/. - Source: dev.to / over 2 years ago

Deeplearning4j mentions (4)

What are some alternatives?

When comparing RapidMiner and Deeplearning4j, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.