Machine Learning · head to head
ClearML vs Minitab
ClearML
Machine Learning
Open-source MLOps platform for experiment tracking and orchestration
- 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 ClearML has a free tier, so it costs nothing to try first.
- Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; 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: ClearML 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 ClearML 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 ClearML
- Experiment tracking
- Remote execution
- Data versioning
- Pipelines
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.
ClearML
- Tracking experiments across a team so results are reproduciblenot Minitab
- Moving training from laptops to shared GPU hardware without repackagingnot Minitab
- Versioning datasets alongside the experiments that consumed themnot Minitab
Minitab
- Six Sigma and process improvement projects where the training materials and internal procedures already assume Minitabnot ClearML
- Producing capability and gage studies as evidence for a customer audit or a regulatory submissionnot ClearML
- Design of experiments on a production process, run by an engineer who will not be writing codenot ClearML
- Quality departments that need credible statistics without hiring a statistician or a data scientistnot ClearML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ClearML
- Broad scope means more to learn and more to run than a focused tracking tool
- Self-hosting the server is real infrastructure — database, file storage and web server
- Documentation quality is uneven across the newer parts of the platform
- Smaller community than the most popular tracking tools, so fewer worked examples exist
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
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
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 ClearML if
- You need experiment tracking.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want remote execution.
Choose Minitab if
- You need control charts.
- You work on Mac, Windows, Web.
- You also want process capability analysis.
Questions people ask
- Is ClearML or Minitab better?
- Neither clearly leads. ClearML 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, ClearML or Minitab?
- ClearML has a free tier; the other does not. Paid plans start at Free for ClearML and $2394/year for Minitab.
- Does ClearML or Minitab run on more platforms?
- ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Minitab runs on Mac, Windows, Web.
- Can I use ClearML for free?
- Yes. ClearML has a free tier, so you can try it without paying. Minitab starts at $2394/year.
- What is ClearML best used for?
- ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Minitab is typically brought in for.
- What can ClearML do that Minitab cannot?
- ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Minitab covers Control charts, Process capability analysis, Measurement systems analysis, Design of experiments.
Answered from the vendors’ own pages
ClearML: Is ClearML free?
The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.
Minitab: 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.
ClearML: How much code does tracking require?
Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.
Minitab: 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.
ClearML: Does ClearML replace MLflow?
It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.
Minitab: 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.
Minitab: 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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