Machine Learning & Data Science · head to head
TensorBoard vs Comet ML
T
TensorBoard
Machine Learning & Data Science
TensorFlow's visualization toolkit
- From
- Free
- Rated
- -
Comet ML
Machine Learning & Data Science
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
The short version
- Each has a real cost: TensorBoard built and documented as a TensorFlow companion tool; the project's own site presents it as inspecting TensorFlow runs and graphs specifically, per tensorflow.org/tensorboard.; Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention
Where they differ
Only the attributes on which TensorBoard and Comet ML actually diverge.
| Attribute | TensorBoard | Comet ML |
|---|---|---|
| Pricing model | open-source | freemium |
| Platforms | Web | Web, Linux, Mac, Windows |
| Founded | Unknown | 2017 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
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 TensorBoard
Nothing recorded that Comet ML does not also cover.
Only in Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
What people use each for
The jobs each tool is most often brought in to do.
TensorBoard
No use cases recorded yet. See the TensorBoard review.
Comet ML
- Tracking machine learning experiments, metrics and model versionsnot TensorBoard
- Monitoring and evaluating LLM applications with tracingnot TensorBoard
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
TensorBoard
- Built and documented as a TensorFlow companion tool; the project's own site presents it as inspecting TensorFlow runs and graphs specifically, per tensorflow.org/tensorboard.
- Source is Apache-2.0 licensed on GitHub (github.com/tensorflow/tensorboard), so there is no vendor-hosted paid tier or support contract distinct from the open source project.
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
Pricing, plan by plan
TensorBoard
FreeNo published plan breakdown. See the TensorBoard review.
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
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.
Questions people ask
- Is TensorBoard or Comet ML better?
- Neither clearly leads. TensorBoard starts at Free and Comet ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, TensorBoard or Comet ML?
- TensorBoard starts at Free and Comet ML at Free.
- Does TensorBoard or Comet ML run on more platforms?
- TensorBoard runs on Web. Comet ML runs on Web, Linux, Mac, Windows.
- Can I use TensorBoard for free?
- Both have a free tier, so you can try either at no cost before committing.
- What can TensorBoard do that Comet ML cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization.
Related pages
More on TensorBoard
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