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Machine Learning · head to head

Anaconda vs Fabi

Anaconda logo

Anaconda

Machine Learning

The world's most popular data science platform

From
Free
Rated
-
Full reviewWebsite
Fabi logo

Fabi

Business Intelligence

AI notebooks combining SQL, Python and no-code for small data teams

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Anaconda dependency resolution slower than pip due to SAT solver complexity; Fabi fabi is an early-stage company with a small team, so the durability risk is real and there is no obvious migration path for Smartbooks if it stops trading.
  • They diverge on capability: Anaconda covers Conda package manager, Fabi covers Smartbooks.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Anaconda and Fabi actually diverge.

Attributes where Anaconda and Fabi differ
AttributeAnacondaFabi
Pricing modelUnknownPer user per month
PlatformsWindows, macOS, Linux, Web/CloudWeb
CategoryMachine LearningBusiness Intelligence
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 Fabi

  • Smartbooks
  • Smart Reports
  • AI analysis
  • Scheduled runs
  • Database connectors
  • Viewer seats

What people use each for

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

Anaconda

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

Fabi

  • A single analyst at a startup fielding ad hoc questions faster than dashboards can be built for themnot Anaconda
  • An operations team that needs Python for a one-off analysis but has to hand the result to non-technical colleaguesnot Anaconda
  • Replacing a set of scheduled Jupyter notebooks that nobody outside the data team can read or rerunnot Anaconda
  • Exploratory work against a warehouse where building a semantic model first would cost more than the answer is worthnot 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

Fabi

  • Fabi is an early-stage company with a small team, so the durability risk is real and there is no obvious migration path for Smartbooks if it stops trading.
  • There is no meaningful governance layer: no data catalogue, no certified metric definitions and limited lineage, so it does not scale to an organisation that needs a single agreed number.
  • The free and Builder tiers cap AI requests, and the daily cap on Starter is reached quickly during genuine exploratory work.
  • Connector counts are limited by tier, so the Builder plan at 39 dollars connects to exactly one data source, which is rarely enough in practice.
  • It overlaps heavily with what Snowflake, Databricks and Hex now ship natively, so a company already paying for one of those is buying a fourth notebook interface.

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

Fabi

Free
  • StarterFree
    • One builder seat
    • Ten dashboard viewers
    • Five Smartbooks
  • Builder$39/month
    • Twenty-five Smart Report viewers
    • Ten Smartbooks with workflows
    • One data connector
  • Team$199/month
    • Four builder seats, extra seats at 39 USD
    • Fifty viewers
    • Premium connector
  • Enterprise$undefined/year
    • Unlimited builder seats
    • Full connector access
    • Custom security review

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 Fabi if

  • You need smartbooks.
  • You want to start without paying.
  • You also want smart reports.
Fabi review

Questions people ask

Is Anaconda or Fabi better?
Neither clearly leads. Anaconda starts at Free and Fabi at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anaconda or Fabi?
Anaconda starts at Free and Fabi at Free.
Does Anaconda or Fabi run on more platforms?
Anaconda runs on Windows, macOS, Linux, Web/Cloud. Fabi runs on Web.
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 Fabi is typically brought in for.
What can Anaconda do that Fabi cannot?
Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. Fabi covers Smartbooks, Smart Reports, AI analysis, Scheduled runs.

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
Fabi: Is there a free plan?

Yes, a Starter tier with one builder, ten viewers, five Smartbooks and ten AI requests a day.

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
Fabi: Do viewers cost money?

Viewers are bundled by tier rather than charged individually; builders are the priced seat.

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
Fabi: Can I run arbitrary Python?

Yes, Smartbooks include Python cells alongside SQL and no-code steps.

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
Fabi: How many data connectors does the entry paid plan include?

One. Additional and premium connectors come with the Team tier.

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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