Softwr

Machine Learning · head to head

JMP vs Netstock

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite
Netstock logo

Netstock

Inventory

Demand planning and inventory optimization

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only JMP has a free tier, so it costs nothing to try first.
  • 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.; Netstock pricing starts at $900/month, requiring annual commitment
  • They diverge on capability: JMP covers Custom design of experiments, Netstock covers Demand forecasting.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and Netstock actually diverge.

Attributes where JMP and Netstock differ
AttributeJMPNetstock
Starting priceFreeOn request
Free tierYesNo
PlatformsMac, WindowsWeb, Cloud-based, API access
CategoryMachine LearningInventory
Founded19762009

Identical on both: pricing model (subscription), 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 Netstock

  • Demand forecasting
  • Inventory optimization
  • Replenishment planning
  • Classification
  • SAP
  • NetSuite
  • Sage
  • QuickBooks

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 Netstock
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Netstock
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Netstock
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Netstock

Netstock

  • Inventory managementnot JMP
  • Supply chain optimizationnot JMP
  • ERP system integrationnot JMP
  • Demand forecastingnot JMP
  • Multi-location inventorynot 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.

Netstock

  • Pricing starts at $900/month, requiring annual commitment
  • Custom pricing model makes comparison difficult
  • Requires contacting sales for specific quotes

Pricing, plan by plan

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

Netstock

On request
  • Essential$500/month
    • Core forecasting
    • 5 users
    • Standard support
  • Professional$1000/month
    • Advanced features
    • 15 users
    • Priority support
  • Enterprise$2000/month
    • Full suite
    • Unlimited users
    • Dedicated support

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.
JMP review

Choose Netstock if

  • You need demand forecasting.
  • You work on Web, Cloud-based, API access.
  • You also want inventory optimization.
Netstock review

Questions people ask

Is JMP or Netstock better?
Neither clearly leads. JMP starts at Free and Netstock at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Netstock?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and On request for Netstock.
Does JMP or Netstock run on more platforms?
JMP runs on Mac, Windows. Netstock runs on Web, Cloud-based, API access.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Netstock starts at On request.
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 Netstock is typically brought in for.
What can JMP do that Netstock cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Netstock covers Demand forecasting, Inventory optimization, Replenishment planning, Classification.

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.

Netstock: How much does Netstock cost?

Netstock pricing starts at $900/month. Final cost depends on the product bundle selected and your specific business needs. Pricing is customized based on company size, location, and ERP system integration requirements.

Source
JMP: 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.

Netstock: Does Netstock require an annual contract?

Yes. Netstock operates on annual subscription terms designed to deliver continuous value throughout the year.

Source
JMP: Does it run on Linux?

No. Windows and macOS only, as an installed application.

Netstock: How long does Netstock implementation take?

Typical implementation takes 6-10 weeks. On average, Netstock pays for itself within the first few weeks of use.

Source
JMP: 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.

Share

Related pages

More on JMP

More on Netstock

Keep looking

Other head to heads