Machine Learning & Data Science · head to head
Comet ML vs PostHog

Comet ML
Machine Learning & Data Science
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -

PostHog
Technology
The single platform to analyze, test, observe, and deploy new features
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; PostHog the free tier covers 1M events, 5K web session recordings and 2.5K mobile recordings per month before usage-based billing starts
- They diverge on capability: Comet ML covers Experiment tracking, PostHog covers Product analytics.
Where they differ
Only the attributes on which Comet ML and PostHog actually diverge.
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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Only in PostHog
- Product analytics
- Session recording
- Feature flags
- A/B testing
- Heatmaps
- SQL access
- Data warehouse
- Apps platform
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 PostHog
- Monitoring and evaluating LLM applications with tracingnot PostHog
PostHog
- Product analyticsnot Comet ML
- Feature experimentationnot Comet ML
- User behavior trackingnot Comet ML
- A/B testingnot Comet ML
- Debug production issuesnot 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
PostHog
- The free tier covers 1M events, 5K web session recordings and 2.5K mobile recordings per month before usage-based billing starts
- Accounts without a card on file are limited to 1 project; adding one raises it to 6
- Data retention is 1 year until a card is added, which extends it to 7 years
- Support is community-only until the account is on a paid plan
- Error tracking is capped at 100K exceptions and surveys at 1500 responses per month on the free tier
Pricing, plan by plan
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
PostHog
Free- FreeFree
- 1M events/month
- 5K sessions/month
- Unlimited users
- Paid$undefined/month
- $0.00031/event
- $0.005/session
- Advanced permissions
- Enterprise$undefined/month
- SAML SSO
- Advanced security
- Dedicated 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.
Choose PostHog if
- You need product analytics.
- You want to start without paying.
- You work on Web, Ios, Android, Api.
- You also want session recording.
Questions people ask
- Is Comet ML or PostHog better?
- Neither clearly leads. Comet ML starts at Free and PostHog at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or PostHog?
- Comet ML starts at Free and PostHog at Free.
- Does Comet ML or PostHog run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. PostHog runs on Web, Ios, Android, Api.
- Can I use Comet ML for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 PostHog is typically brought in for.
- What can Comet ML do that PostHog cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. PostHog covers Product analytics, Session recording, Feature flags, A/B testing.
Related pages
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- Comet ML vs Greenhouse
- Comet ML vs Notion
- Comet ML vs Amplitude
- Comet ML vs Datadog
- Comet ML vs PyCharm
- Comet ML vs Sketch
- Comet ML vs Docker
- Comet ML vs Netlify
- Comet ML vs Okta
- Comet ML vs Aha!
- Comet ML vs Coda
- Comet ML vs Dashlane
- Comet ML vs GitHub
- PostHog vs AWS SageMaker
- PostHog vs Google Vertex AI
- PostHog vs Azure Machine Learning
- PostHog vs DataRobot
- PostHog vs Snowflake
- PostHog vs TensorFlow
- PostHog vs Keras
- PostHog vs MLflow
- PostHog vs Jupyter
- PostHog vs PyTorch
- PostHog vs scikit-learn
- PostHog vs Apache Spark MLlib
- PostHog vs Weights & Biases
- PostHog vs Alteryx
- PostHog vs Anaconda
- PostHog vs Databricks
- PostHog vs Dataiku
- PostHog vs DVC
- PostHog vs Asana
- PostHog vs ClickUp
- PostHog vs Figma
- PostHog vs Linear
- PostHog vs Monday.com
- PostHog vs Greenhouse
- PostHog vs Notion
- PostHog vs Amplitude
- PostHog vs Datadog
- PostHog vs PyCharm
- PostHog vs Sketch
- PostHog vs Docker
- PostHog vs Netlify
- PostHog vs Okta
- PostHog vs Aha!
- PostHog vs Coda
- PostHog vs Dashlane
- PostHog vs GitHub
