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Machine Learning · head to head

Stata vs TensorBoard

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Stata

Machine Learning

Data science software for research professionals

From
$48/year
Rated
-
Full reviewWebsite
T

TensorBoard

Machine Learning

Local visualisation for training runs, reading event files written to a directory

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only TensorBoard has a free tier, so it costs nothing to try first.
  • Each has a real cost: Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model; TensorBoard there is no authentication of any kind, so putting it on a shared host exposes every run, every metric and every logged sample image to anyone who can reach the port, and adding access control means building and maintaining a reverse proxy.
  • They diverge on capability: Stata covers Statistical analysis, TensorBoard covers Scalar dashboards.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Stata and TensorBoard actually diverge.

Attributes where Stata and TensorBoard differ
AttributeStataTensorBoard
Starting price$48/yearFree
Pricing modelsubscriptionopen-source
Free tierNoYes
PlatformsLinux, Mac, WindowsWeb
Founded1985Unknown

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 Stata

  • Statistical analysis
  • Data management
  • Graphics
  • Econometrics
  • Survey analysis
  • Python
  • ODBC
  • Excel

Only in TensorBoard

  • Scalar dashboards
  • Run comparison
  • Graph visualisation
  • Histograms and distributions
  • Embedding projector
  • Image, audio and text panels
  • Hyperparameter view
  • Profiler

What people use each for

The jobs each tool is most often brought in to do.

Stata

  • Statistical analysis and data analysisnot TensorBoard
  • Econometric modelingnot TensorBoard
  • Biostatistics and epidemiologynot TensorBoard
  • Academic and research data analysisnot TensorBoard

TensorBoard

  • Watching a training run in progress on a workstation or a remote box, to decide whether to stop it earlynot Stata
  • Diagnosing why a model is not learning, by looking at gradient and weight histograms rather than only the loss curvenot Stata
  • Profiling a slow training loop to find out whether the bottleneck is the data pipeline or the acceleratornot Stata
  • Working in an environment with no outbound network access, where a hosted tracking service is not an optionnot Stata

Where each one falls short

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

Stata

  • The entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
  • Raising the variable limit to 32,767 requires Stata/SE and 120,000 requires Stata/MP
  • Stata/MP is licensed by core count, so 2 core and 4 core licences are priced separately
  • Student licences require proof of enrolment at a degree granting institution
  • Stata/MP is not sold on a 6 month student term
  • Perpetual student licences cost several times the annual price, for example $298 against $94 for Stata/BE

TensorBoard

  • There is no authentication of any kind, so putting it on a shared host exposes every run, every metric and every logged sample image to anyone who can reach the port, and adding access control means building and maintaining a reverse proxy.
  • Event files grow without limit and the interface loads runs into memory, so a directory holding hundreds of runs or a script logging scalars every step becomes slow to start and unpleasant to navigate well before the disk fills.
  • It shows only what the training loop chose to write, so nothing connects a curve back to the code commit, the data set version or the environment unless the engineer logged those explicitly, which means the reproducibility problem is left entirely to you.
  • TensorBoard.dev, the hosted service for sharing a run by link, was shut down at the end of 2023, so results now travel between colleagues as screenshots or through a deployment somebody on the team has to operate.
  • Comparing runs is done by ticking boxes in a run list, which is fine for ten runs and useless for a thousand, and that threshold is precisely where teams start paying for MLflow, Weights and Biases or Neptune instead.

Pricing, plan by plan

Stata

$48/year
  • Stata/BE$48/year
    • Basic edition
    • Core features
  • Stata/SE$295/year
    • Standard edition
    • Larger datasets

TensorBoard

Free

No published plan breakdown. See the TensorBoard review.

Which should you pick?

Choose Stata if

  • You need statistical analysis.
  • You work on Linux, Mac, Windows.
  • You also want data management.
Stata review

Choose TensorBoard if

  • You need scalar dashboards.
  • You want to start without paying.
  • You also want run comparison.
TensorBoard review

Questions people ask

Is Stata or TensorBoard better?
Neither clearly leads. Stata starts at $48/year and TensorBoard at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Stata or TensorBoard?
TensorBoard has a free tier; the other does not. Paid plans start at $48/year for Stata and Free for TensorBoard.
Does Stata or TensorBoard run on more platforms?
Stata runs on Linux, Mac, Windows. TensorBoard runs on Web.
Can I use TensorBoard for free?
Yes. TensorBoard has a free tier, so you can try it without paying. Stata starts at $48/year.
What is Stata best used for?
Stata is most often used for statistical analysis and data analysis, econometric modeling, biostatistics and epidemiology, academic and research data analysis. Of those, statistical analysis and data analysis and econometric modeling are not what TensorBoard is typically brought in for.
What can Stata do that TensorBoard cannot?
Stata covers Statistical analysis, Data management, Graphics, Econometrics. TensorBoard covers Scalar dashboards, Run comparison, Graph visualisation, Histograms and distributions.

Answered from the vendors’ own pages

Stata: How much does Stata cost?

Stata does not publish specific pricing on its website. Customers must use the 'Order Stata' or 'Request a quote' functions to obtain pricing. StataNow is available as a subscription option, but specific monthly or annual costs are not displayed publicly.

Source
TensorBoard: Does it work with PyTorch?

Yes. PyTorch includes a SummaryWriter that emits the same event file format, and Lightning wires it up by default. Nothing about the tool requires TensorFlow at run time.

Stata: What are the differences between Stata editions?

Stata offers multiple editions including Stata/BE and Stata/MP, with different capabilities and performance characteristics. Edition selection affects pricing, but specific comparisons and costs require requesting a quote.

Source
TensorBoard: Do I have to install TensorFlow to use it?

No. The tensorboard package installs on its own. Some plugins expect TensorFlow to be present, but the scalar, histogram and image dashboards do not.

Stata: Does Stata offer a subscription model?

Yes, StataNow is offered as a subscription option that delivers new features immediately upon release. However, specific pricing for StataNow subscriptions is not published on the website.

Source
TensorBoard: Is it an experiment tracker?

No, and treating it as one is the common mistake. It visualises whatever a run wrote to disk. It does not store hyperparameters, code versions, artefacts or results in a way that survives someone deleting the log directory.

TensorBoard: How do I share a dashboard with a colleague?

Host it yourself behind your own authentication, or send screenshots. The hosted sharing service was retired at the end of 2023.

TensorBoard: What does it cost?

Nothing. It is Apache 2.0 licensed and runs on your own machine.

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