Machine Learning · head to head
Comet ML vs Minitab
Comet ML
Machine Learning
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
Minitab
Machine Learning
Statistical software for quality engineering, and the tool Six Sigma training is written around
- From
- $2394/year
- 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; Minitab licensing is a per named user subscription, so an organisation where fifty engineers each need it twice a quarter pays fifty full seats for people who open it eight times a year.
- They diverge on capability: Comet ML covers Experiment tracking, Minitab covers Control charts.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Comet ML and Minitab actually diverge.
Identical on both: user rating (Not yet rated), category (Machine Learning).
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 Minitab
- Control charts
- Process capability analysis
- Measurement systems analysis
- Design of experiments
- Classical statistics
- Assistant
- Predictive Analytics module
- Desktop and browser access
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- LLM observability and monitoringnot Minitab
- AI agent testing and debuggingnot Minitab
- Experiment tracking for machine learningnot Minitab
- Model registry and version managementnot Minitab
- ML model training monitoringnot Minitab
Minitab
- Six Sigma and process improvement projects where the training materials and internal procedures already assume Minitabnot Comet ML
- Producing capability and gage studies as evidence for a customer audit or a regulatory submissionnot Comet ML
- Design of experiments on a production process, run by an engineer who will not be writing codenot Comet ML
- Quality departments that need credible statistics without hiring a statistician or a data scientistnot 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
Minitab
- Licensing is a per named user subscription, so an organisation where fifty engineers each need it twice a quarter pays fifty full seats for people who open it eight times a year.
- Analyses are recorded as a project file and a session log rather than as code, so reviewing what somebody did means reading output instead of reading a script, and reproducing it a year later depends on the same version still being installed.
- The machine learning capability is a separately licensed module with a fixed set of tree-based methods, so it is neither included in the base price nor competitive with what a Python user has for nothing.
- There is no deployment path in the statistical product, so putting a model into a running process means buying Minitab Model Ops as another product or reimplementing the model somewhere else entirely.
- Data handling is worksheet-shaped and held in memory, so anything past a few million rows means preparing the extract in another tool first, and joins and reshaping are clumsy compared with SQL or pandas.
Pricing, plan by plan
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
Minitab
$2394/year- Solution Center Core$2394/year
- Marked as Most Popular
- Best for quality professionals
- Minitab Dashboards
- Solution Center Analytics$2593.5/year
- Best for analytics professionals
- Includes predictive analytics capabilities
- Minitab Dashboards
- Solution Center Copilot$2793/year
- All-in-one platform for operational excellence
- Includes AI-powered insights
- Minitab Dashboards
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 Minitab if
- You need control charts.
- You work on Mac, Windows, Web.
- You also want process capability analysis.
Questions people ask
- Is Comet ML or Minitab better?
- Neither clearly leads. Comet ML starts at Free and Minitab at $2394/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or Minitab?
- Comet ML has a free tier; the other does not. Paid plans start at Free for Comet ML and $2394/year for Minitab.
- Does Comet ML or Minitab run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. Minitab runs on Mac, Windows, Web.
- Can I use Comet ML for free?
- Yes. Comet ML has a free tier, so you can try it without paying. Minitab starts at $2394/year.
- What is Comet ML best used for?
- Comet ML is most often used for llm observability and monitoring, ai agent testing and debugging, experiment tracking for machine learning, model registry and version management. Of those, llm observability and monitoring and ai agent testing and debugging are not what Minitab is typically brought in for.
- What can Comet ML do that Minitab cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Minitab covers Control charts, Process capability analysis, Measurement systems analysis, Design of experiments.
Answered from the vendors’ own pages
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.
SourceMinitab: Does Minitab run on macOS?
The installed desktop application is Windows. Mac users work through the browser version, which is included with the subscription but is not identical in every feature.
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.
SourceMinitab: Is it machine learning software?
Not primarily. It is a statistics package for quality and process work. Predictive modelling exists in a separate Predictive Analytics module and is limited to tree-based methods.
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.
SourceMinitab: Can I buy a perpetual licence?
The current offer is subscription based. Older perpetual licences exist in the field but are not the way the product is sold now.
Comet ML: Does Comet.ml offer academic pricing?
Yes, a free Pro plan is available for academic users; verification is required via signup.
SourceMinitab: What is the difference between Minitab and Minitab Workspace or Engage?
Minitab Statistical Software does the analysis. Workspace and Engage are separate products for process mapping, project management and improvement programme governance, and are licensed separately.
Minitab: Can I automate it?
Only to a limited degree. There is a command language and integration options, but it is designed to be driven by a person through menus, not scheduled in a pipeline.
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