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AI · head to head

Fathom vs TensorBoard

Fathom logo

Fathom

AI

Free AI meeting assistant

From
Free
Free plan
Yes
Full reviewWebsite
T

TensorBoard

Machine Learning

Local visualisation for training runs, reading event files written to a directory

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Fathom team plan requires minimum 2 users; cannot purchase single seat at team pricing; TensorBoard there is no authentication of any kind, so putting it on a shared host exposes every run, every metric and every logged sample image to anyone who can reach the port, and adding access control means building and maintaining a reverse proxy.
  • They diverge on capability: Fathom covers Auto-recording, TensorBoard covers Scalar dashboards.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Fathom and TensorBoard actually diverge.

Attributes where Fathom and TensorBoard differ
AttributeFathomTensorBoard
Pricing modelUnknownopen-source
PlatformsWeb, Zoom, Google Meet, Microsoft TeamsWeb
CategoryAIMachine Learning
Founded2020Unknown

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 Fathom

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

Only in TensorBoard

  • Scalar dashboards
  • Run comparison
  • Graph visualisation
  • Histograms and distributions
  • Embedding projector
  • Image, audio and text panels
  • Hyperparameter view
  • Profiler

What people use each for

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

Fathom

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

TensorBoard

  • Watching a training run in progress on a workstation or a remote box, to decide whether to stop it earlynot Fathom
  • Diagnosing why a model is not learning, by looking at gradient and weight histograms rather than only the loss curvenot Fathom
  • Profiling a slow training loop to find out whether the bottleneck is the data pipeline or the acceleratornot Fathom
  • Working in an environment with no outbound network access, where a hosted tracking service is not an optionnot Fathom

Where each one falls short

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

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

TensorBoard

  • There is no authentication of any kind, so putting it on a shared host exposes every run, every metric and every logged sample image to anyone who can reach the port, and adding access control means building and maintaining a reverse proxy.
  • Event files grow without limit and the interface loads runs into memory, so a directory holding hundreds of runs or a script logging scalars every step becomes slow to start and unpleasant to navigate well before the disk fills.
  • It shows only what the training loop chose to write, so nothing connects a curve back to the code commit, the data set version or the environment unless the engineer logged those explicitly, which means the reproducibility problem is left entirely to you.
  • TensorBoard.dev, the hosted service for sharing a run by link, was shut down at the end of 2023, so results now travel between colleagues as screenshots or through a deployment somebody on the team has to operate.
  • Comparing runs is done by ticking boxes in a run list, which is fine for ten runs and useless for a thousand, and that threshold is precisely where teams start paying for MLflow, Weights and Biases or Neptune instead.

Pricing, plan by plan

Fathom

Free

No published plan breakdown. See the Fathom review.

TensorBoard

Free

No published plan breakdown. See the TensorBoard review.

Which should you pick?

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.
Fathom review

Choose TensorBoard if

  • You need scalar dashboards.
  • You want to start without paying.
  • You also want run comparison.
TensorBoard review

Questions people ask

Is Fathom or TensorBoard better?
Neither clearly leads. Fathom starts at Free and TensorBoard at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fathom or TensorBoard?
Fathom starts at Free and TensorBoard at Free.
Does Fathom or TensorBoard run on more platforms?
Fathom runs on Web, Zoom, Google Meet, Microsoft Teams. TensorBoard runs on Web.
Can I use Fathom for free?
Both have a free tier, so you can try either at no cost before committing.
What is Fathom best used for?
Fathom is most often used for ai-powered meeting transcription and automatic note-taking for sales teams and professionals, meeting analysis with ai scorecards and action item generation that syncs to crms. Of those, ai-powered meeting transcription and automatic note-taking for sales teams and professionals and meeting analysis with ai scorecards and action item generation that syncs to crms are not what TensorBoard is typically brought in for.
What can Fathom do that TensorBoard cannot?
Fathom covers Auto-recording, AI summaries, Transcription, Highlight clips. TensorBoard covers Scalar dashboards, Run comparison, Graph visualisation, Histograms and distributions.

Answered from the vendors’ own pages

Fathom: What is the most affordable paid plan for individuals, and what does it include?

Fathom Premium costs $20 per month (or $16 per month billed annually). It includes advanced summaries, action items, and a conversational AI assistant, in addition to the features in the free plan.

Source
TensorBoard: Does it work with PyTorch?

Yes. PyTorch includes a SummaryWriter that emits the same event file format, and Lightning wires it up by default. Nothing about the tool requires TensorFlow at run time.

Fathom: What is included in Fathom's free plan?

The free plan includes unlimited recordings, transcriptions, AI summaries, clips, and playlists at no cost forever.

Source
TensorBoard: Do I have to install TensorFlow to use it?

No. The tensorboard package installs on its own. Some plugins expect TensorFlow to be present, but the scalar, histogram and image dashboards do not.

Fathom: How much does the Team plan cost per user, and what features does it add?

The Team plan costs $19 per month per user (minimum 2 users, or $15 per month annually). It includes everything from Premium plus global search, collaboration features, and team playlists.

Source
TensorBoard: Is it an experiment tracker?

No, and treating it as one is the common mistake. It visualises whatever a run wrote to disk. It does not store hyperparameters, code versions, artefacts or results in a way that survives someone deleting the log directory.

Fathom: What trial or guarantee is available before committing to a paid plan?

All paid plans offer a 90-day guarantee to test features risk-free.

Source
TensorBoard: How do I share a dashboard with a colleague?

Host it yourself behind your own authentication, or send screenshots. The hosted sharing service was retired at the end of 2023.

Fathom: Does Fathom offer free or discounted plans for startups or nonprofits?

Yes, qualified portfolio companies get up to 2 years free, and nonprofits can apply for 10 free seats.

Source
TensorBoard: What does it cost?

Nothing. It is Apache 2.0 licensed and runs on your own machine.

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