Software Alternatives & Reviews

ML ART

A visual index with 340 creative Machine Learning projects!

Top 7 Open-Source Alternatives to ML ART

TensorFlow Lobe ML5.js Union Pandera Diffgram Efemarai Python Package Index

Summary

The top open-source alternatives to ML ART are TensorFlow, Lobe, and ML5.js. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. 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.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #AI 7 social mentions

  2. 2
    Visual tool for building custom deep learning models
    Pricing:
    • Open Source

    #AI #Data Science And Machine Learning #Developer Tools 15 social mentions

  3. 3
    Friendly machine learning for the web
    Pricing:
    • Open Source

    #Developer Tools #AI #Data Science And Machine Learning 9 social mentions

  4. Protect your data and ML products from low-quality data
    Pricing:
    • Open Source

    #AI #Developer Tools #Data Science And Machine Learning

  5. Data Annotation Platform
    Pricing:
    • Open Source
    • Freemium
    • Free Trial

    #Data Labeling #Data Science And Machine Learning #Machine Learning 2 user reviews

  6. Easily test and debug your ML models
    Pricing:
    • Open Source

    #Developer Tools #AI #Machine Learning 1 social mentions

  7. A repository of software for the Python programming language
    Pricing:
    • Open Source

    #Translation Service #Languages #Productivity 69 social mentions

Suggest an alternative
If you think we've missed something, please suggest an alternative to ML ART.
Please use the Feedback button if you think any of the listed products shouldn't be regarded as open-source.

ML ART discussion

Log in or Post with