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Machine Learning & Data Science · head to head

Hugging Face vs Comet ML

Hugging Face logo

Hugging Face

Machine Learning & Data Science

The AI community building the future

From
Free
Rated
-
Full reviewWebsite
Comet ML logo

Comet ML

Machine Learning & Data Science

Platform for tracking, comparing, and optimizing ML experiments

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Hugging Face model discovery across 3 million models lacks robust filtering and sorting by quality metrics; Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention
  • They diverge on capability: Hugging Face covers Model hub, Comet ML covers Experiment tracking.

Where they differ

Only the attributes on which Hugging Face and Comet ML actually diverge.

Attributes where Hugging Face and Comet ML differ
AttributeHugging FaceComet ML
Pricing modelUnknownfreemium
PlatformsWeb, APIWeb, Linux, Mac, Windows
Founded20162017

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 Hugging Face

  • Model hub
  • Datasets
  • Spaces
  • Transformers library
  • GitHub
  • Cloud providers
  • MLOps tools
  • Api support

Only in Comet ML

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

Both cover

  • Web support

What people use each for

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

Hugging Face

  • ai tools managementnot Comet ML
  • Workflow automationnot Comet ML
  • Reportingnot Comet ML

Comet ML

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

Where each one falls short

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

Hugging Face

  • Model discovery across 3 million models lacks robust filtering and sorting by quality metrics
  • Community-driven content means variable model quality and documentation
  • Private models and datasets require Pro subscription
  • Enterprise support and SLAs require custom arrangements

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

Hugging Face

Free

No published plan breakdown. See the Hugging Face 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 Hugging Face if

  • You need model hub.
  • You want to start without paying.
  • You work on Web, API.
  • You also want datasets.
Hugging Face review

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.
Comet ML review

Questions people ask

Is Hugging Face or Comet ML better?
Neither clearly leads. Hugging Face 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, Hugging Face or Comet ML?
Hugging Face starts at Free and Comet ML at Free.
Does Hugging Face or Comet ML run on more platforms?
Hugging Face runs on Web, API. Comet ML runs on Web, Linux, Mac, Windows.
Can I use Hugging Face for free?
Both have a free tier, so you can try either at no cost before committing.
What is Hugging Face best used for?
Hugging Face is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Comet ML is typically brought in for.
What can Hugging Face do that Comet ML cannot?
Hugging Face covers Model hub, Datasets, Spaces, Transformers library. Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Both handle Web support.

Answered from the vendors’ own pages

Hugging Face: Is Hugging Face free to use?

Yes. Hugging Face allows users to host and collaborate on unlimited public models, datasets, and applications at no cost. Models can be accessed and used freely from the Hub.

Source
Hugging Face: How many models are available on Hugging Face?

Hugging Face Hub currently hosts nearly 3 million machine learning models across various tasks including text generation, image processing, and video generation.

Source
Hugging Face: What is the Hugging Face Inference API?

Hugging Face provides access to 45,000+ models from leading AI providers through a single unified API with no service fees, simplifying access to diverse models.

Source
Hugging Face: What content types does Hugging Face support?

Hugging Face supports text, image, video, audio, and 3D content models, allowing collaboration across multiple modalities and use cases.

Source
Hugging Face: What is the transformers library?

Transformers is a Hugging Face library built for natural language processing applications, providing pre-built models and utilities for NLP tasks.

Source
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