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AI · head to head

Poolside vs TensorBoard

Poolside logo

Poolside

AI

Open-weight foundation models built for agentic software engineering

From
$0.06/month
Free plan
No
Full reviewWebsite
T

TensorBoard

Machine Learning

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

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only TensorBoard has a free tier, so it costs nothing to try first.
  • Each has a real cost: Poolside no self-serve public application; access is largely through enterprise sales or third-party model gateways; 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: Poolside covers Laguna S 2.1, TensorBoard covers Scalar dashboards.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Poolside and TensorBoard actually diverge.

Attributes where Poolside and TensorBoard differ
AttributePoolsideTensorBoard
Starting price$0.06/monthFree
Pricing modelusage-basedopen-source
Free tierNoYes
Platformsweb, api, mac, windows, linuxWeb
CategoryAIMachine Learning
Founded2023Unknown

Identical on both: 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 Poolside

  • Laguna S 2.1
  • Laguna XS 2.1
  • Desktop and CLI tools
  • Open-weight models
  • Third-party gateway access

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.

Poolside

  • Enterprises deploying AI coding assistance across large developer organizationsnot TensorBoard
  • Government and defense agencies needing on-premise or sovereign coding modelsnot TensorBoard
  • Teams building custom coding agents on open-weight foundation modelsnot TensorBoard
  • Organizations wanting on-device lightweight coding modelsnot TensorBoard

TensorBoard

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

Where each one falls short

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

Poolside

  • No self-serve public application; access is largely through enterprise sales or third-party model gateways
  • Pricing for the flagship enterprise and government offering is not public and requires a sales conversation
  • Targets organizations with large (5,000+) developer headcounts, making it a poor fit for individuals or small teams
  • Documentation and product surface area are thin compared to consumer-facing coding assistants

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

Poolside

$0.06/month
  • Laguna XS 2.1$undefined/month
    • $0.06 per 1M input tokens
    • $0.12 per 1M output tokens
    • Available via OpenRouter and Vercel AI Gateway
  • Laguna S 2.1$undefined/month
    • $0.10 per 1M input tokens
    • $0.20 per 1M output tokens
    • 1M token context window
  • Enterprise / Government$undefined/month
    • Custom contracts for large engineering organizations
    • Sales-quoted pricing
    • On-premise or dedicated deployment options

TensorBoard

Free

No published plan breakdown. See the TensorBoard review.

Which should you pick?

Choose Poolside if

  • You need laguna s 2.1.
  • You work on web, api, mac, windows, linux.
  • You also want laguna xs 2.1.
Poolside 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 Poolside or TensorBoard better?
Neither clearly leads. Poolside starts at $0.06/month and TensorBoard at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Poolside or TensorBoard?
TensorBoard has a free tier; the other does not. Paid plans start at $0.06/month for Poolside and Free for TensorBoard.
Does Poolside or TensorBoard run on more platforms?
Poolside runs on web, api, mac, windows, linux. TensorBoard runs on Web.
Can I use TensorBoard for free?
Yes. TensorBoard has a free tier, so you can try it without paying. Poolside starts at $0.06/month.
What is Poolside best used for?
Poolside is most often used for enterprises deploying ai coding assistance across large developer organizations, government and defense agencies needing on-premise or sovereign coding models, teams building custom coding agents on open-weight foundation models, organizations wanting on-device lightweight coding models. Of those, enterprises deploying ai coding assistance across large developer organizations and government and defense agencies needing on-premise or sovereign coding models are not what TensorBoard is typically brought in for.
What can Poolside do that TensorBoard cannot?
Poolside covers Laguna S 2.1, Laguna XS 2.1, Desktop and CLI tools, Open-weight models. TensorBoard covers Scalar dashboards, Run comparison, Graph visualisation, Histograms and distributions.

Answered from the vendors’ own pages

Poolside: How is Poolside's Laguna model usage priced?

Laguna XS 2.1 is priced at $0.06 per 1M input tokens and $0.12 per 1M output tokens; Laguna S 2.1 is $0.10 per 1M input tokens and $0.20 per 1M output tokens.

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.

Poolside: Where can I access Poolside's models?

Laguna models are available through third-party gateways OpenRouter and Vercel AI Gateway, as well as via Poolside's own desktop and CLI tools.

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.

Poolside: Does Poolside offer enterprise or government pricing?

Yes, Poolside offers custom, sales-quoted contracts for large enterprises and government/defense customers, including on-premise or dedicated deployment options.

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.

Poolside: How do I get started building with Poolside's models?

Poolside's documentation provides a quickstart guide for installing the `pool` CLI and running an agent task, alongside API documentation for custom integrations.

Source
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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