Softwr

Machine Learning & Data Science · head to head

Comet ML vs Fibery

Comet ML logo

Comet ML

Machine Learning & Data Science

Platform for tracking, comparing, and optimizing ML experiments

From
Free
Rated
-
Fibery logo

Fibery

Spreadsheet & Data

Connected workspace for product teams

From
Free
Rated
-

The short version

  • Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; Fibery free plan limited to 10 users and 10 guests
  • They diverge on capability: Comet ML covers Experiment tracking, Fibery covers Customizable databases.

Where they differ

Only the attributes on which Comet ML and Fibery actually diverge.

Attributes where Comet ML and Fibery differ
AttributeComet MLFibery
Pricing modelfreemiumsubscription
PlatformsWeb, Linux, Mac, WindowsWeb
CategoryMachine Learning & Data ScienceSpreadsheet & Data
Founded20172018

Identical on both: starting price (Free), free tier (Yes), 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 Comet ML

  • Experiment tracking
  • Code versioning
  • Model registry
  • Hyperparameter optimization
  • Production monitoring
  • PyTorch
  • TensorFlow
  • Keras

Only in Fibery

  • Customizable databases
  • Bi-directional linking
  • Whiteboards
  • Documents
  • Timelines
  • Formulas
  • Automations
  • API access

Both cover

  • Web support

What people use each for

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

Comet ML

  • Tracking machine learning experiments, metrics and model versionsnot Fibery
  • Monitoring and evaluating LLM applications with tracingnot Fibery

Fibery

  • Work management and product development platformnot Comet ML
  • Relational database with multiple view types (table, board, gallery, timeline, calendar, Gantt)not Comet ML
  • Knowledge base and document collaborationnot Comet ML

Where each one falls short

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

Comet ML

  • The free cloud tier caps data at 25,000 spans a month with 60 day retention
  • Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
  • Overage on Pro is $5 per additional 100,000 spans
  • The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
  • Pro MLOps is $19 per user per month and caps the team at 10 users

Fibery

  • Free plan limited to 10 users and 10 guests
  • Free plan limited to 10 databases
  • Enterprise plan requires minimum of 25 paid users
  • SAML SSO available only on Enterprise plan

Pricing, plan by plan

Comet ML

Free
  • FreeFree
    • 100 experiments
    • Basic features
    • Community support
  • Team$179/month
    • Unlimited experiments
    • Team collaboration
    • Priority support

Fibery

Free

No published plan breakdown. See the Fibery review.

Which should you pick?

Choose Comet ML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Web, Linux, Mac, Windows.
  • You also want code versioning.

Choose Fibery if

  • You need customizable databases.
  • You want to start without paying.
  • You also want bi-directional linking.

Questions people ask

Is Comet ML or Fibery better?
Neither clearly leads. Comet ML starts at Free and Fibery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Comet ML or Fibery?
Comet ML starts at Free and Fibery at Free.
Does Comet ML or Fibery run on more platforms?
Comet ML runs on Web, Linux, Mac, Windows. Fibery runs on Web.
Can I use Comet ML for free?
Both have a free tier, so you can try either at no cost before committing.
What is Comet ML best used for?
Comet ML is most often used for tracking machine learning experiments, metrics and model versions, monitoring and evaluating llm applications with tracing. Of those, tracking machine learning experiments, metrics and model versions and monitoring and evaluating llm applications with tracing are not what Fibery is typically brought in for.
What can Comet ML do that Fibery cannot?
Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Fibery covers Customizable databases, Bi-directional linking, Whiteboards, Documents. Both handle Web support.

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