Home
Utilities
Application Utilities
Machine Learning Tools

ml5.js vs TensorFlow.js

Need advice about which tool to choose?Ask the StackShare community!

ml5.js
4
45
+ 1
0
TensorFlow.js
152
344
+ 1
17
Add tool

ml5.js vs TensorFlow.js: What are the differences?

ml5.js: Friendly machine learning for the web. ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies; TensorFlow.js: Machine Learning in JavaScript. Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API.

ml5.js and TensorFlow.js belong to "Machine Learning Tools" category of the tech stack.

ml5.js and TensorFlow.js are both open source tools. TensorFlow.js with 11.1K GitHub stars and 801 forks on GitHub appears to be more popular than ml5.js with 2.63K GitHub stars and 209 GitHub forks.

Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of ml5.js
Pros of TensorFlow.js
    Be the first to leave a pro
    • 5
      Open Source
    • 5
      NodeJS Powered
    • 2
      Deploy python ML model directly into javascript
    • 1
      Privacy - no data sent to server
    • 1
      Can run TFJS on backend, frontend, react native, + IOT
    • 1
      Runs Client Side on device
    • 1
      Easy to share and use - get more eyes on your research
    • 1
      Cost - no server needed for inference

    Sign up to add or upvote prosMake informed product decisions

    What is ml5.js?

    ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.

    What is TensorFlow.js?

    Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention ml5.js and TensorFlow.js as a desired skillset
    University Grad Machine Learning Engineer - MASTERS ONLY (USA)
    Pinterest
    San Francisco, CA, US; Palo Alto, CA, US
    View Job Details
    DreamCollectScope+8
    University Grad Machine Learning Engineer - MASTERS ONLY (USA)
    Pinterest
    San Francisco, CA, US; Palo Alto, CA, US
    View Job Details
    DreamCollectScope+8
    Staff Software Engineer, Ads Infrastructure
    Pinterest
    San Francisco, CA, US
    View Job Details
    DreamPyTorchVitess+9
    Software Engineer, Machine Learning Platform
    Pinterest
    San Francisco, CA, US
    View Job Details
    DreamPyTorchSpinnaker+9
    PhD University Grad Machine Learning Engineer (USA)
    Pinterest
    San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
    View Job Details
    DreamScopePyTorch+7
    PhD University Grad Machine Learning Engineer (USA)
    Pinterest
    San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
    View Job Details
    DreamScopePyTorch+7
    Machine Learning Engineer, Content Quality Signals
    Pinterest
    Toronto, ON, CA
    View Job Details
    DreamPyTorchApache Flink+8
    PhD University Grad Machine Learning Engineer (USA)
    Pinterest
    San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
    View Job Details
    DreamScopePyTorch+7
    What companies use ml5.js?
    What companies use TensorFlow.js?
      No companies found
      See which teams inside your own company are using ml5.js or TensorFlow.js.
      Sign up for Private StackShareLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with ml5.js?
      What tools integrate with TensorFlow.js?
        No integrations found
        What are some alternatives to ml5.js and TensorFlow.js?
        TensorFlow
        TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
        PyTorch
        PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
        scikit-learn
        scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
        Keras
        Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
        CUDA
        A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
        See all alternatives

        Related Comparisons

        PyTorch vs TensorFlow.jsKubeflow vs TensorFlow.jsPropel vs TensorFlow.jsGluon vs TensorFlow.jsML Kit vs TensorFlow.js

        Trending Comparisons

        Django vs Laravel vs Node.jsBootstrap vs Foundation vs Material-UINode.js vs Spring BootFlyway vs LiquibaseAWS CodeCommit vs Bitbucket vs GitHub

        Top Comparisons

        Bootstrap vs MaterializePostman vs Swagger UIHipChat vs Mattermost vs SlackBitbucket vs GitHub vs GitLab