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ml.js VS RapidMiner

Compare ml.js VS RapidMiner and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

ml.js logo ml.js

ml.js is a machine learning and numeric analysis tools in javascript for node.js and browser.

RapidMiner logo RapidMiner

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
  • ml.js Landing page
    Landing page //
    2023-09-13
  • RapidMiner Landing page
    Landing page //
    2022-06-12

ml.js features and specs

No features have been listed yet.

RapidMiner features and specs

  • Ease of Use
    RapidMiner offers a highly intuitive graphical user interface, allowing users to easily design, evaluate, and deploy analytic workflows without extensive coding knowledge.
  • Integration Capabilities
    The platform supports a wide range of data sources and can integrate with various databases, cloud storage, and other data tools, making it versatile for complex projects.
  • Comprehensive Feature Set
    RapidMiner includes a vast array of built-in functionalities for data preparation, machine learning, deep learning, text mining, and predictive analytics, reducing the need for additional tools.
  • Community and Support
    The extensive user community, resources, and support options, including documentation, forums, and learning materials, help new and experienced users maximize the tool’s potential.
  • Scalability
    Designed to handle large-scale data operations efficiently, RapidMiner is suitable for both small and enterprise-level projects, supporting scalability as data and user needs grow.

Possible disadvantages of RapidMiner

  • Cost
    While a free version is available, the more advanced features and capabilities are locked behind a premium plan, which can be costly for smaller organizations or individual users.
  • Resource Intensive
    RapidMiner can be demanding on system resources, requiring robust hardware specifications for optimal performance, especially when handling large datasets or complex models.
  • Learning Curve for Advanced Features
    Despite its ease of use for basic tasks, mastering advanced functionalities may require a significant time investment in learning and practice, particularly for users without previous data science experience.
  • Limited Customization for Coding Enthusiasts
    Users who prefer custom coding over a drag-and-drop interface might find RapidMiner’s platform less flexible compared to tools that are fully code-centric.
  • Dependency on Platform
    Due to its comprehensive suite of integrated tools, users may find it challenging to migrate projects or workflows to other platforms if the need arises.

ml.js videos

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RapidMiner videos

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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

Category Popularity

0-100% (relative to ml.js and RapidMiner)

ml.js

RapidMiner

Data Science And Machine Learning
8 8%
Data Science And Machine Learning
92% 92
Data Science Tools
8 8%
Data Science Tools
92% 92
APIs
100 100%
APIs
0% 0
Python Tools
0 0%
Python Tools
100% 100

User comments

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Reviews

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

ml.js Reviews

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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...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, RapidMiner should be more popular than ml.js. It has been mentiond 3 times since March 2021. 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.

ml.js mentions (1)

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: about 2 years 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 / about 2 years 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 3 years ago

What are some alternatives?

When comparing ml.js and RapidMiner, you can also consider the following products

Microsoft Bing Image Search API - The Bing Image Search API adds a host of image search features to your apps including trending images. Test the image API with our online demo.

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

Learning.js - Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, PHP, Python, Bootstrap, Java and XML.

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

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

OpenCV - OpenCV is the world's biggest computer vision library

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