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Software · head to head

Articulate 360 vs Weights & Biases

Articulate 360 logo

Articulate 360

Software

The complete e-learning authoring solution

From
On request
Rated
-
Full reviewWebsite
Weights & Biases logo

Weights & Biases

Software

Developer tools for machine learning

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Weights & Biases 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; Weights & Biases pricing can be prohibitive for large teams without enterprise discounts
  • They diverge on capability: Articulate 360 covers Storyline 360, Weights & Biases covers Experiment tracking.

Where they differ

Only the attributes on which Articulate 360 and Weights & Biases actually diverge.

Attributes where Articulate 360 and Weights & Biases differ
AttributeArticulate 360Weights & Biases
Starting priceOn requestFree
Pricing modelsubscriptionUnknown
Free tierNoYes
PlatformsWindows, Web (Rise)Web, Python SDK, REST API
Founded20022017

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

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 Weights & Biases

  • Experiment tracking
  • Dataset versioning
  • Model registry
  • Hyperparameter sweeps
  • Collaborative dashboards
  • PyTorch
  • TensorFlow
  • Keras

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 Weights & Biases
  • Delivering training through the built-in LMSnot Weights & Biases
  • Review and approval cycles with subject matter expertsnot Weights & Biases
  • Exporting SCORM packages to an existing LMSnot Weights & Biases

Weights & Biases

  • 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

Weights & Biases

  • Pricing can be prohibitive for large teams without enterprise discounts
  • Limited integrations compared to some competitors
  • Dashboard customization options limited on lower plans
  • Requires some setup and configuration knowledge

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

Weights & Biases

Free
  • FreeFree
    • 5 model seats
    • 5 GB storage
    • 1 GB/month Weave ingestion
  • Pro$60/month
    • 10 seats
    • 100 GB storage
    • Private projects
  • Teams$179/month
    • Team collaboration
    • Advanced analytics
    • Dedicated support

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 Weights & Biases if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Web, Python SDK, REST API.
  • You also want dataset versioning.
Weights & Biases review

Questions people ask

Is Articulate 360 or Weights & Biases better?
Neither clearly leads. Articulate 360 starts at On request and Weights & Biases at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Articulate 360 or Weights & Biases?
Weights & Biases has a free tier; the other does not. Paid plans start at On request for Articulate 360 and Free for Weights & Biases.
Does Articulate 360 or Weights & Biases run on more platforms?
Articulate 360 runs on Windows, Web (Rise). Weights & Biases runs on Web, Python SDK, REST API.
Can I use Weights & Biases for free?
Yes. Weights & Biases 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 Weights & Biases is typically brought in for.
What can Articulate 360 do that Weights & Biases cannot?
Articulate 360 covers Storyline 360, Rise 360, Content Library, Review 360. Weights & Biases covers Experiment tracking, Dataset versioning, Model registry, Hyperparameter sweeps. Both handle Windows support.

Answered from the vendors’ own pages

Weights & Biases: Does Weights & Biases have a free plan?

Yes. The Free tier includes 5 model seats, 5 GB storage, and 1 GB/month Weave ingestion. Academic users get unlimited tracked hours, 200 GB storage, and 100 seats at no cost.

Source
Weights & Biases: What are the paid plans for Weights & Biases?

Pro starts at $60/month with 10 seats and 100 GB storage. Team plans start at $179/month. Enterprise pricing is custom.

Source
Weights & Biases: What machine learning features does W&B provide?

Weights & Biases captures hyperparameters, metrics, and model outputs automatically. Features include experiment tracking, interactive Reports for sharing findings, Artifacts for managing datasets and models, advanced hyperparameter sweeps, and model deployment tools.

Source
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