Machine Learning · head to head
JMP vs Replicate
JMP
Machine Learning
Desktop statistical and design of experiments software from a SAS subsidiary
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: JMP it is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.; Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- They diverge on capability: JMP covers Custom design of experiments, Replicate covers Model hosting.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which JMP and Replicate 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 JMP
- Custom design of experiments
- Linked interactive graphics
- Analysis platforms
- Quality and process tools
- Graph Builder
- JSL scripting
- Scoring code export
- Predictive modelling in JMP Pro
Only in Replicate
- Model hosting
- Simple API
- Auto-scaling
- Custom models
- REST API
- Python client
- JavaScript client
- Api support
What people use each for
The jobs each tool is most often brought in to do.
JMP
- Planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already havenot Replicate
- Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Replicate
- Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Replicate
- Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Replicate
Replicate
- Running open source machine learning models through a hosted API without managing GPUsnot JMP
- Deploying and serving a custom or fine tuned model on rented GPU hardwarenot JMP
- Per second billed batch image, video and language model inferencenot JMP
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
JMP
- It is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
- There is no Linux build and no server edition for running analyses, so JMP cannot sit in a scheduled pipeline the way an R or Python script can, and recurring reports depend on a named person running them on a laptop.
- The predictive modelling capability most buyers mean when they call this machine learning software is in JMP Pro, a separate and more expensive licence, so the base product's price is not the price of the thing being evaluated.
- JSL is proprietary to JMP, so the scripts, add-ins and automation a group accumulates over a decade do not port anywhere and become sunk cost the moment anyone questions the renewal.
- Deployment ends at exported scoring code with no registry, monitoring or retraining, so a model that runs in production is maintained by another team in another language and steadily diverges from the version the analyst still has open.
Replicate
- Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
- The pricing page publishes no free tier allowance
Pricing, plan by plan
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Replicate
Free- Pay-as-you-go$null/usage
- Billed by execution time for public models
- CPU Small: $0.000025/second ($0.09/hour)
- 8x Nvidia A100 GPUs: $0.0112/second ($40.32/hour)
- Enterprise$null/custom
- Dedicated account manager
- Priority support
- Higher GPU limits
Which should you pick?
Choose JMP if
- You need custom design of experiments.
- You want to start without paying.
- You work on Mac, Windows.
- You also want linked interactive graphics.
Choose Replicate if
- You need model hosting.
- You want to start without paying.
- You work on Api, Cloud.
- You also want simple api.
Questions people ask
- Is JMP or Replicate better?
- Neither clearly leads. JMP starts at Free and Replicate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, JMP or Replicate?
- JMP starts at Free and Replicate at Free.
- Does JMP or Replicate run on more platforms?
- JMP runs on Mac, Windows. Replicate runs on Api, Cloud.
- Can I use JMP for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is JMP best used for?
- JMP is most often used for planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already have, process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator, exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheet, semiconductor, chemical and pharmaceutical development groups where jmp is already the shared language for reporting results. Of those, planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already have and process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator are not what Replicate is typically brought in for.
- What can JMP do that Replicate cannot?
- JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Replicate covers Model hosting, Simple API, Auto-scaling, Custom models.
Answered from the vendors’ own pages
JMP: Is JMP the same thing as SAS?
No. JMP is a separate desktop product from a SAS subsidiary, with its own interface, its own scripting language and its own licence. Knowing SAS does not transfer to it beyond the statistics.
Replicate: How much does Replicate cost?
Replicate uses pay-as-you-go pricing based on model execution time and compute type. Costs range from $0.09/hour for CPU (Small) to $40.32/hour for 8x Nvidia A100 GPUs. Some models charge per input/output tokens instead of time.
SourceJMP: Do I need JMP Pro?
If you want cross validation, penalised regression, boosted trees or neural networks, yes. The base edition covers classical statistics, graphics and design of experiments well and stops short of predictive modelling.
Replicate: Does Replicate offer a free tier?
Yes, Replicate is free to start with pay-as-you-go pricing. There are no subscription tiers or minimum commitments; you pay only for what you use.
SourceJMP: Does it run on Linux?
No. Windows and macOS only, as an installed application.
Replicate: What is the difference between public and private models?
Public models are billed by execution time. Private models are billed for all instance uptime including setup, idle, and active processing time, except for fast-booting fine-tunes which are billed only during active processing.
SourceJMP: Can I put a JMP model into production?
Only by exporting the scoring formula as SQL, C, Python or similar and running it in another system. JMP itself does not serve, monitor or retrain models.
JMP: Who actually uses it?
Process and quality engineers, and scientists in R&D, particularly in semiconductor, chemicals, pharmaceutical and medical device work. It is not usually chosen by data engineering or platform teams.
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