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Spreadsheets · head to head

Quadratic vs TensorFlow

Quadratic logo

Quadratic

Spreadsheets

Infinite-canvas spreadsheet that runs Python, SQL and formulas in the same grid

From
Free
Rated
-
Full reviewWebsite
TensorFlow logo

TensorFlow

Machine Learning

Open-source machine learning framework by Google

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Quadratic aI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.; TensorFlow pyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • They diverge on capability: Quadratic covers Multi-language cells, TensorFlow covers Deep learning framework.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Quadratic and TensorFlow actually diverge.

Attributes where Quadratic and TensorFlow differ
AttributeQuadraticTensorFlow
Pricing modelPer user per monthUnknown
PlatformsWeb, macOS, Windows, LinuxPython, JavaScript, C++, Java, Go, Rust
CategorySpreadsheetsMachine Learning
FoundedUnknown1998

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 Quadratic

  • Multi-language cells
  • Infinite canvas
  • Direct database connections
  • AI agent in the sheet
  • WebAssembly engine
  • Python package support

Only in TensorFlow

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

What people use each for

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

Quadratic

  • An analyst who wants a SQL result, a Python transformation and a set of manual assumptions visible in one file instead of three toolsnot TensorFlow
  • Ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cellnot TensorFlow
  • Sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebooknot TensorFlow
  • Prototyping a data pull against a warehouse before committing it to a scheduled pipelinenot TensorFlow

TensorFlow

  • Machine learningnot Quadratic
  • Data analysisnot Quadratic
  • Model trainingnot Quadratic
  • Predictive analyticsnot Quadratic

Where each one falls short

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

Quadratic

  • AI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
  • Self-hosting is available only on the Enterprise plan, so an organisation that cannot send data to the vendor cloud has to enter a sales negotiation rather than run a container.
  • Excel and Google Sheets compatibility is partial, so files with heavy conditional formatting, pivot tables or macros do not survive a round trip and have to be rebuilt.
  • The product is young and the connector list is short, covering the main relational databases and two warehouses, so anything else has to be reached through Python code you write and maintain yourself.
  • There is no real mobile editing experience, which matters more than it sounds for a spreadsheet because approvals and quick checks routinely happen on a phone.

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

Pricing, plan by plan

Quadratic

Free
  • PersonalFree
    • Limited AI usage
    • Limited files and connections
    • Limited sharing
  • Pro$18/month
    • Billed annually
    • 20 USD of AI credits per month
    • Unlimited files
  • Business$36/month
    • Billed annually
    • 40 USD of AI credits per month
    • Advanced permissions
  • Enterprise$undefined/year
    • Quoted
    • Self-hosting option
    • Custom AI usage

TensorFlow

Free

No published plan breakdown. See the TensorFlow review.

Which should you pick?

Choose Quadratic if

  • You need multi-language cells.
  • You want to start without paying.
  • You work on Web, macOS, Windows, Linux.
  • You also want infinite canvas.
Quadratic review

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

Questions people ask

Is Quadratic or TensorFlow better?
Neither clearly leads. Quadratic starts at Free and TensorFlow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Quadratic or TensorFlow?
Quadratic starts at Free and TensorFlow at Free.
Does Quadratic or TensorFlow run on more platforms?
Quadratic runs on Web, macOS, Windows, Linux. TensorFlow runs on Python, JavaScript, C++, Java, Go, Rust.
Can I use Quadratic for free?
Both have a free tier, so you can try either at no cost before committing.
What is Quadratic best used for?
Quadratic is most often used for an analyst who wants a sql result, a python transformation and a set of manual assumptions visible in one file instead of three tools, ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cell, sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebook, prototyping a data pull against a warehouse before committing it to a scheduled pipeline. Of those, an analyst who wants a sql result, a python transformation and a set of manual assumptions visible in one file instead of three tools and ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cell are not what TensorFlow is typically brought in for.
What can Quadratic do that TensorFlow cannot?
Quadratic covers Multi-language cells, Infinite canvas, Direct database connections, AI agent in the sheet. TensorFlow covers Deep learning framework, Neural network training, Model deployment, TensorBoard visualization.

Answered from the vendors’ own pages

Quadratic: Do I need to know Python to use it?

No, formulas work on their own, but the reason to choose Quadratic over Google Sheets is the code cells, so a team with no Python will not get the value.

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
Quadratic: What happens when the AI credits run out?

Prompting stops until the next monthly reset or until you move up a plan; the spreadsheet itself keeps working normally.

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
Quadratic: Can it replace a BI tool?

Not for scheduled distribution or governed metrics. It is for exploratory work by one person or a small team, not for dashboards a hundred people read.

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
Quadratic: Is my database query sent to the vendor?

Connections run through the vendor service on all plans except Enterprise self-hosting, which is the option to take if that is unacceptable.

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
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