Softwr

Software · head to head

Comet ML vs Greenhouse

Comet ML logo

Comet ML

Software

Platform for tracking, comparing, and optimizing ML experiments

From
Free
Rated
-
Greenhouse logo

Greenhouse

Software

Hiring software for growing companies

From
On request
Rated
-

The short version

  • Only Comet ML has a free tier, so it costs nothing to try first.
  • Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; Greenhouse core plan lacks talent discovery and contact lookups
  • They diverge on capability: Comet ML covers Experiment tracking, Greenhouse covers Applicant tracking.

Where they differ

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

Attributes where Comet ML and Greenhouse differ
AttributeComet MLGreenhouse
Starting priceFreeOn request
Pricing modelfreemiumquote
Free tierYesNo
PlatformsWeb, Linux, Mac, WindowsWeb, Ios, Android, Api
Founded20172012

Identical on both: user rating (Not yet rated), category (Unknown).

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 Greenhouse

  • Applicant tracking
  • Interview scheduling
  • Scorecard system
  • Job board posting
  • Candidate CRM
  • Reporting & analytics
  • Offer management
  • EEO compliance

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 Greenhouse
  • Monitoring and evaluating LLM applications with tracingnot Greenhouse

Greenhouse

  • Applicant tracking system for structured hiringnot Comet ML
  • AI-powered interview notetaking and sourcingnot 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

Greenhouse

  • Core plan lacks talent discovery and contact lookups
  • Core plan lacks email automation and applicant texting
  • Plus plan lacks resume anonymisation and application limits
  • Plus plan lacks audit logging and developer tools
  • Pricing customised by hiring volume and company size, not published
  • Only Pro tier offers audit logs and developer sandbox

Pricing, plan by plan

Comet ML

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

Greenhouse

On request

No published plan breakdown. See the Greenhouse 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 Greenhouse if

  • You need applicant tracking.
  • You work on Web, Ios, Android, Api.
  • You also want interview scheduling.

Questions people ask

Is Comet ML or Greenhouse better?
Neither clearly leads. Comet ML starts at Free and Greenhouse at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Comet ML or Greenhouse?
Comet ML has a free tier; the other does not. Paid plans start at Free for Comet ML and On request for Greenhouse.
Does Comet ML or Greenhouse run on more platforms?
Comet ML runs on Web, Linux, Mac, Windows. Greenhouse runs on Web, Ios, Android, Api.
Can I use Comet ML for free?
Yes. Comet ML has a free tier, so you can try it without paying. Greenhouse starts at On request.
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 Greenhouse is typically brought in for.
What can Comet ML do that Greenhouse cannot?
Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting.

Related pages

Other head to heads