Softwr

Software · head to head

TensorFlow vs JMP

TensorFlow logo

TensorFlow

Software

Open-source machine learning framework by Google

From
Free
Rated
-
Full reviewWebsite
JMP logo

JMP

Software

Statistical discovery software from SAS

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: TensorFlow pyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only; 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: TensorFlow covers Deep learning framework, JMP covers Interactive statistics.

Where they differ

Only the attributes on which TensorFlow and JMP actually diverge.

Attributes where TensorFlow and JMP differ
AttributeTensorFlowJMP
Pricing modelUnknownsubscription
PlatformsPython, JavaScript, C++, Java, Go, RustMac, Windows
Founded19981976

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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 TensorFlow

  • Deep learning framework
  • Neural network training
  • Model deployment
  • TensorBoard visualization
  • Distributed training
  • Keras
  • TensorFlow Lite
  • TensorFlow.js

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.

TensorFlow

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

JMP

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

Both are used for machine learning, data analysis, model training, predictive analytics, on those jobs the choice comes down to price and fit rather than capability.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

TensorFlow

  • PyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • Broader ecosystem is more complex to navigate for new users compared to PyTorch's more Pythonic API
  • Performance advantage over PyTorch exists mainly at very large scale with TPUs, not for most workloads

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

TensorFlow

Free

No published plan breakdown. See the TensorFlow review.

JMP

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

Which should you pick?

Choose TensorFlow if

  • You need deep learning framework.
  • You want to start without paying.
  • You work on Python, JavaScript, C++, Java, Go, Rust.
  • You also want neural network training.
TensorFlow review

Choose JMP if

  • You need interactive statistics.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want dynamic visualization.
JMP review

Questions people ask

Is TensorFlow or JMP better?
Neither clearly leads. TensorFlow 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, TensorFlow or JMP?
TensorFlow starts at Free and JMP at Free.
Does TensorFlow or JMP run on more platforms?
TensorFlow runs on Python, JavaScript, C++, Java, Go, Rust. JMP runs on Mac, Windows.
Can I use TensorFlow for free?
Both have a free tier, so you can try either at no cost before committing.
What is TensorFlow best used for?
TensorFlow is most often used for machine learning, data analysis, model training, predictive analytics.
What can TensorFlow do that JMP cannot?
TensorFlow covers Deep learning framework, Neural network training, Model deployment, TensorBoard visualization. JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling. Both handle Mac support, Windows support.

Answered from the vendors’ own pages

TensorFlow: Can I run TensorFlow in a web browser?

Yes. TensorFlow.js allows you to develop and deploy machine learning models directly in the browser using JavaScript. It supports both WebGL GPU backend and WebAssembly backends for acceleration.

Source
TensorFlow: Does TensorFlow support deployment on mobile devices?

Yes. TensorFlow Lite enables on-device machine learning on Android, iOS, Raspberry Pi, and embedded systems. LiteRT provides high-performance AI inference for resource-constrained IoT devices.

Source
TensorFlow: What hardware accelerators does TensorFlow support?

TensorFlow supports GPU acceleration and Google's proprietary Tensor Processing Units (TPUs) for specialized matrix operations. Cloud TPUs offer native high-performance support for large-scale machine learning.

Source
TensorFlow: Is TensorFlow free and open-source?

Yes. TensorFlow is completely free and open-source under the Apache 2.0 license. Google released TensorFlow as open-source on November 9, 2015 for anyone to use without licensing costs.

Source
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on TensorFlow

More on JMP

Keep looking

Other head to heads