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Education & E-Learning · head to head

Articulate 360 vs Keras

Articulate 360 logo

Articulate 360

Education & E-Learning

The complete e-learning authoring solution

From
On request
Rated
-
Full reviewWebsite
Keras logo

Keras

Machine Learning & Data Science

Deep learning API for humans

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Keras has a free tier, so it costs nothing to try first.
  • Each has a real cost: Articulate 360 priced annually per user at $1,749 for Teams and $1,449 for Personal, with no monthly option shown; Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • They diverge on capability: Articulate 360 covers Storyline 360, Keras covers Sequential and Functional API.

Where they differ

Only the attributes on which Articulate 360 and Keras actually diverge.

Attributes where Articulate 360 and Keras differ
AttributeArticulate 360Keras
Starting priceOn requestFree
Pricing modelsubscriptionopen-source
Free tierNoYes
PlatformsWindows, Web (Rise)Python, Google Colab, Jupyter
CategoryEducation & E-LearningMachine Learning & Data Science
Founded20022015

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Articulate 360

  • Storyline 360
  • Rise 360
  • Content Library
  • Review 360
  • Screen recording
  • Characters
  • Templates
  • SCORM/xAPI

Only in Keras

  • Sequential and Functional API
  • Pre-built neural network layers
  • Model training and evaluation
  • Transfer learning
  • Model serialization
  • TensorFlow
  • JAX
  • PyTorch

Both cover

  • Windows support

What people use each for

The jobs each tool is most often brought in to do.

Articulate 360

  • Authoring e-learning courses with Storyline and Risenot Keras
  • Delivering training through the built-in LMSnot Keras
  • Review and approval cycles with subject matter expertsnot Keras
  • Exporting SCORM packages to an existing LMSnot Keras

Keras

  • Machine learningnot Articulate 360
  • Data analysisnot Articulate 360
  • Model trainingnot Articulate 360
  • Predictive analyticsnot Articulate 360

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Articulate 360

  • Priced annually per user at $1,749 for Teams and $1,449 for Personal, with no monthly option shown
  • The built-in LMS covers up to 300 active learners; larger audiences need the Reach Pro add-on
  • Learner analytics, API integrations and localisation are all paid add-ons
  • Collaboration features, including co-authoring and shared folders, require the Teams plan

Keras

  • Limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • Error messages can be vague and unhelpful, making debugging challenging
  • Smaller ecosystem and fewer pre-trained models than TensorFlow or PyTorch

Pricing, plan by plan

Articulate 360

On request
  • Personal$1399/month
    • Storyline 360
    • Rise 360
    • Content Library
  • Teams$1599/month
    • All Personal
    • Team collaboration
    • Priority support
  • Enterprise$undefined/month
    • Volume licensing
    • SSO
    • Custom onboarding

Keras

Free
  • Open SourceFree
    • High-level API
    • Pre-built layers
    • Model serialization

Which should you pick?

Choose Articulate 360 if

  • You need storyline 360.
  • You work on Windows, Web (Rise).
  • You also want rise 360.
Articulate 360 review

Choose Keras if

  • You need sequential and functional api.
  • You want to start without paying.
  • You work on Python, Google Colab, Jupyter.
  • You also want pre-built neural network layers.
Keras review

Questions people ask

Is Articulate 360 or Keras better?
Neither clearly leads. Articulate 360 starts at On request and Keras at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Articulate 360 or Keras?
Keras has a free tier; the other does not. Paid plans start at On request for Articulate 360 and Free for Keras.
Does Articulate 360 or Keras run on more platforms?
Articulate 360 runs on Windows, Web (Rise). Keras runs on Python, Google Colab, Jupyter.
Can I use Keras for free?
Yes. Keras has a free tier, so you can try it without paying. Articulate 360 starts at On request.
What is Articulate 360 best used for?
Articulate 360 is most often used for authoring e-learning courses with storyline and rise, delivering training through the built-in lms, review and approval cycles with subject matter experts, exporting scorm packages to an existing lms. Of those, authoring e-learning courses with storyline and rise and delivering training through the built-in lms are not what Keras is typically brought in for.
What can Articulate 360 do that Keras cannot?
Articulate 360 covers Storyline 360, Rise 360, Content Library, Review 360. Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning. Both handle Windows support.

Answered from the vendors’ own pages

Keras: What is Keras?

Keras is a high-level deep learning API built on top of TensorFlow that simplifies building and training neural networks. Keras 3 supports multiple backends including TensorFlow, PyTorch, and JAX, making it backend-agnostic.

Source
Keras: What model architectures does Keras support?

Keras supports the Sequential model for linear stacks of layers, the Functional API for arbitrary graph architectures, and model subclassing for custom implementations. All approaches provide access to layers, optimizers, metrics, and callbacks.

Source
Keras: Can Keras models run on TPUs and GPUs?

Yes, Keras models can run on TPU Pods or large GPU clusters, be exported to run in browsers or on mobile devices, and be served via web APIs.

Source
Keras: Does Keras offer pre-trained models?

Yes, Keras provides pre-trained models through KerasHub and Keras Applications for common deep learning tasks like image classification, object detection, and NLP.

Source
Keras: Who should use Keras?

Keras is ideal for beginners and rapid prototyping due to its simplicity and user-friendly interface. Advanced users and production deployments may benefit more from lower-level frameworks like TensorFlow or PyTorch for greater customization.

Source
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