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Machine Learning · head to head

Anaconda vs Quadratic

Anaconda logo

Anaconda

Machine Learning

The world's most popular data science platform

From
Free
Rated
-
Full reviewWebsite
Quadratic logo

Quadratic

Spreadsheets

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Anaconda dependency resolution slower than pip due to SAT solver complexity; 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.
  • They diverge on capability: Anaconda covers Conda package manager, Quadratic covers Multi-language cells.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Anaconda and Quadratic actually diverge.

Attributes where Anaconda and Quadratic differ
AttributeAnacondaQuadratic
Pricing modelUnknownPer user per month
PlatformsWindows, macOS, Linux, Web/CloudWeb, macOS, Windows, Linux
CategoryMachine LearningSpreadsheets
Founded2012Unknown

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 Anaconda

  • Conda package manager
  • Environment management
  • 1500+ packages
  • Navigator GUI
  • Cross-platform support
  • Jupyter
  • VS Code
  • PyCharm

Only in Quadratic

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

What people use each for

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

Anaconda

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

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 Anaconda
  • Ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cellnot Anaconda
  • Sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebooknot Anaconda
  • Prototyping a data pull against a warehouse before committing it to a scheduled pipelinenot Anaconda

Where each one falls short

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

Anaconda

  • Dependency resolution slower than pip due to SAT solver complexity
  • Not all PyPI packages available through default Anaconda repository
  • Requires paid licenses for organizations with 200+ employees
  • Larger disk footprint than minimal Python installations

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.

Pricing, plan by plan

Anaconda

Free
  • FreeFree
    • 600+ pre-installed packages
    • Anaconda Navigator
    • 5GB cloud storage
  • Starter$15/month
    • 10GB cloud storage per user
    • Professional development environment
    • Team workspace controls
  • Business$50/month
    • Automated vulnerability scanning
    • Audit trails
    • Enterprise SSO

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

Which should you pick?

Choose Anaconda if

  • You need conda package manager.
  • You want to start without paying.
  • You work on Windows, macOS, Linux, Web/Cloud.
  • You also want environment management.
Anaconda review

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

Questions people ask

Is Anaconda or Quadratic better?
Neither clearly leads. Anaconda starts at Free and Quadratic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anaconda or Quadratic?
Anaconda starts at Free and Quadratic at Free.
Does Anaconda or Quadratic run on more platforms?
Anaconda runs on Windows, macOS, Linux, Web/Cloud. Quadratic runs on Web, macOS, Windows, Linux.
Can I use Anaconda for free?
Both have a free tier, so you can try either at no cost before committing.
What is Anaconda best used for?
Anaconda is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Quadratic is typically brought in for.
What can Anaconda do that Quadratic cannot?
Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. Quadratic covers Multi-language cells, Infinite canvas, Direct database connections, AI agent in the sheet.

Answered from the vendors’ own pages

Anaconda: Does Anaconda have a free version?

Yes. Anaconda Distribution is free and includes 600+ pre-installed data science packages, Navigator, and 5GB of cloud storage. Organizations with 200+ employees must use paid plans unless they qualify for academic or non-profit exemptions.

Source
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.

Anaconda: What is the difference between Anaconda Distribution and Miniconda?

Anaconda Distribution includes 600+ pre-installed packages optimized for data science out of the box. Miniconda is lightweight with only conda, Python, and essential packages, requiring manual installation of additional libraries.

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.

Anaconda: Does Anaconda integrate with VS Code?

Yes. Anaconda environments can be activated in VS Code, and you can run Jupyter Notebooks directly. Both JupyterLab and conda can be managed through the VS Code Jupyter extension.

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.

Anaconda: What platforms does Anaconda support?

Anaconda runs on Windows, macOS, and Linux, with cloud-based deployment options. Anaconda Notebooks provides a cloud-based JupyterLab environment requiring no local installation.

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.

Anaconda: Do all PyPI packages work with Anaconda?

Not all PyPI packages are available through Anaconda's default conda repository. When a package is unavailable in conda, you can install it from conda-forge or pip as an alternative.

Source
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