Softwr

Machine Learning & Data Science · head to head

Comet ML vs Fathom

Comet ML logo

Comet ML

Machine Learning & Data Science

Platform for tracking, comparing, and optimizing ML experiments

From
Free
Rated
-
Fathom logo

Fathom

AI Tools

Free AI meeting assistant

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; Fathom team plan requires minimum 2 users; cannot purchase single seat at team pricing
  • They diverge on capability: Comet ML covers Experiment tracking, Fathom covers Auto-recording.

Where they differ

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

Attributes where Comet ML and Fathom differ
AttributeComet MLFathom
Pricing modelfreemiumUnknown
PlatformsWeb, Linux, Mac, WindowsWeb, Zoom, Google Meet, Microsoft Teams
CategoryMachine Learning & Data ScienceAI Tools
Founded20172020

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 Fathom

  • Auto-recording
  • AI summaries
  • Transcription
  • Highlight clips
  • Zoom
  • Google Meet
  • HubSpot
  • Salesforce

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 Fathom
  • Monitoring and evaluating LLM applications with tracingnot Fathom

Fathom

  • AI-powered meeting transcription and automatic note-taking for sales teams and professionalsnot Comet ML
  • Meeting analysis with AI scorecards and action item generation that syncs to CRMsnot 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

Fathom

  • Team plan requires minimum 2 users; cannot purchase single seat at team pricing
  • CRM field sync and deal view summaries available only on Business plan ($34/user/month) and above

Pricing, plan by plan

Comet ML

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

Fathom

Free

No published plan breakdown. See the Fathom 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 Fathom if

  • You need auto-recording.
  • You want to start without paying.
  • You work on Web, Zoom, Google Meet, Microsoft Teams.
  • You also want ai summaries.

Questions people ask

Is Comet ML or Fathom better?
Neither clearly leads. Comet ML starts at Free and Fathom at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Comet ML or Fathom?
Comet ML starts at Free and Fathom at Free.
Does Comet ML or Fathom run on more platforms?
Comet ML runs on Web, Linux, Mac, Windows. Fathom runs on Web, Zoom, Google Meet, Microsoft Teams.
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 Fathom is typically brought in for.
What can Comet ML do that Fathom cannot?
Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Fathom covers Auto-recording, AI summaries, Transcription, Highlight clips. Both handle Web support.

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