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Logging · head to head

Checkly vs Comet ML

Checkly logo

Checkly

Logging

Active reliability platform combining uptime monitoring, API testing, and incident response

From
Free
Rated
-
Comet ML logo

Comet ML

Machine Learning

Platform for tracking, comparing, and optimizing ML experiments

From
Free
Rated
-

The short version

  • Each has a real cost: Checkly free tier has limited check allocations per month; Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention
  • They diverge on capability: Checkly covers Uptime monitoring, Comet ML covers Experiment tracking.

Where they differ

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

Attributes where Checkly and Comet ML differ
AttributeChecklyComet ML
Pricing modelsubscriptionfreemium
PlatformsWeb, CLI, APIWeb, Linux, Mac, Windows
CategoryLoggingMachine Learning
FoundedUnknown2017

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 Checkly

  • Uptime monitoring
  • Synthetic browser testing
  • API monitoring
  • Heartbeat monitoring
  • Monitoring-as-Code
  • Status pages
  • Root cause analysis
  • Global locations

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.

Checkly

  • Monitor API endpoints with custom assertionsnot Comet ML
  • Test user journeys with browser automationnot Comet ML
  • Detect performance degradation across regionsnot Comet ML
  • Verify DNS and TCP connectivitynot Comet ML
  • Ensure cron jobs and background tasks completenot Comet ML

Comet ML

  • LLM observability and monitoringnot Checkly
  • AI agent testing and debuggingnot Checkly
  • Experiment tracking for machine learningnot Checkly
  • Model registry and version managementnot Checkly
  • ML model training monitoringnot Checkly

Where each one falls short

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

Checkly

  • Free tier has limited check allocations per month
  • Overage charges can add up with high-volume workloads
  • Status pages require separate paid tier
  • Root cause analysis is separate billing component

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

Checkly

Free
  • HobbyFree
    • 10 uptime monitors
    • 1,000 browser checks monthly
    • 10,000 API checks monthly
  • Team$64/month
    • 75 uptime monitors
    • 12,000 browser checks monthly
    • 100,000 API checks monthly
  • Enterprise$undefined/custom
    • Custom monitor quantities
    • All 22 global locations
    • 1-second check frequency

Comet ML

Free
  • Free CloudFree
    • Up to 10 team members
    • 25,000 spans per month
    • 60-day data retention
  • Pro Cloud$19/month
    • Up to 50 team members
    • 100,000 spans per month
    • 60-day data retention
  • MLOps FreeFree
    • 1 user with fair usage policy
    • Experiment tracking
    • Dataset management
  • MLOps Pro$19/user/month
    • Up to 10 users
    • 1,500 training hours included
    • 500GB storage included

Which should you pick?

Choose Checkly if

  • You need uptime monitoring.
  • You want to start without paying.
  • You work on Web, CLI, API.
  • You also want synthetic browser testing.

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 Checkly or Comet ML better?
Neither clearly leads. Checkly 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, Checkly or Comet ML?
Checkly starts at Free and Comet ML at Free.
Does Checkly or Comet ML run on more platforms?
Checkly runs on Web, CLI, API. Comet ML runs on Web, Linux, Mac, Windows.
Can I use Checkly for free?
Both have a free tier, so you can try either at no cost before committing.
What is Checkly best used for?
Checkly is most often used for monitor api endpoints with custom assertions, test user journeys with browser automation, detect performance degradation across regions, verify dns and tcp connectivity. Of those, monitor api endpoints with custom assertions and test user journeys with browser automation are not what Comet ML is typically brought in for.
What can Checkly do that Comet ML cannot?
Checkly covers Uptime monitoring, Synthetic browser testing, API monitoring, Heartbeat monitoring. Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization.

Answered from the vendors’ own pages

Checkly: What is included in the free Checkly plan?

The free Hobby plan includes 10 uptime monitors, 1,000 monthly browser checks, 10,000 monthly API checks, 6 monitoring locations, and 2-minute minimum check frequency with email, Slack, and webhook alerts.

Source
Comet ML: Does Comet.ml offer a free plan?

Yes, Comet.ml offers free tiers for both Opik (cloud observability) and MLOps platforms. Free Cloud Opik includes up to 10 team members and 25,000 spans/month. Free MLOps tier is limited to 1 user.

Source
Checkly: Can I write monitoring checks in my preferred language?

Yes, Checkly uses TypeScript/JavaScript for monitoring-as-code, integrated with Playwright for browser testing and supporting REST API testing.

Source
Comet ML: How many team members can use the free Comet.ml tier?

Free Cloud supports up to 10 team members. The Pro Cloud plan supports up to 50 team members at $19/month.

Source
Checkly: How much does status page add to my bill?

Status pages cost between $0-$30/month depending on your plan tier, billed separately from core monitoring.

Source
Comet ML: What is a span in Comet.ml pricing?

A span represents a single tracked operation such as model requests or function calls. Free Cloud tier includes 25,000 spans per month.

Source
Checkly: What is the minimum check frequency?

The Hobby and Starter plans support 2-minute and 1-minute minimums respectively. The Team plan supports 30-second intervals, while Enterprise offers 1-second minimum frequency.

Source
Comet ML: Does Comet.ml offer academic pricing?

Yes, a free Pro plan is available for academic users; verification is required via signup.

Source
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