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

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

JMP
Machine Learning & Data Science
Statistical discovery software from SAS
- 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; JMP the Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
- They diverge on capability: Comet ML covers Experiment tracking, JMP covers Interactive statistics.
Where they differ
Only the attributes on which Comet ML and JMP actually diverge.
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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Only in JMP
- Interactive statistics
- Dynamic visualization
- Design of experiments
- Predictive modeling
- Quality control
- SAS
- Python
- R
Both cover
- Mac support
- Windows support
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 JMP
- Monitoring and evaluating LLM applications with tracingnot JMP
JMP
- Machine learningnot Comet ML
- Data analysisnot Comet ML
- Model trainingnot Comet ML
- Predictive analyticsnot 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
JMP
- The Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
Pricing, plan by plan
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
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 JMP if
- You need interactive statistics.
- You want to start without paying.
- You work on Mac, Windows.
- You also want dynamic visualization.
Questions people ask
- Is Comet ML or JMP better?
- Neither clearly leads. Comet ML starts at Free and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or JMP?
- Comet ML starts at Free and JMP at Free.
- Does Comet ML or JMP run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. JMP runs on Mac, Windows.
- 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 JMP is typically brought in for.
- What can Comet ML do that JMP cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling. Both handle Mac support, Windows support.
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- JMP vs DataRobot
- JMP vs Snowflake
- JMP vs TensorFlow
- JMP vs Keras
- JMP vs MLflow
- JMP vs Jupyter
- JMP vs PyTorch
- JMP vs scikit-learn
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- JMP vs Alteryx
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