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Machine Learning & Data Science · head to head

Anaconda vs MATLAB

Anaconda logo

Anaconda

Machine Learning & Data Science

The world's most popular data science platform

From
Free
Rated
-
Full reviewWebsite
MATLAB logo

MATLAB

Machine Learning & Data Science

Programming and numeric computing platform

From
$99/month
Rated
-
Full reviewWebsite

The short version

  • Only Anaconda has a free tier, so it costs nothing to try first.
  • Each has a real cost: Anaconda dependency resolution slower than pip due to SAT solver complexity; MATLAB a standard individual licence is $940 a year, and it is annual rather than perpetual
  • They diverge on capability: Anaconda covers Conda package manager, MATLAB covers Matrix computations.

Where they differ

Only the attributes on which Anaconda and MATLAB actually diverge.

Attributes where Anaconda and MATLAB differ
AttributeAnacondaMATLAB
Starting priceFree$99/month
Pricing modelUnknownsubscription
Free tierYesNo
PlatformsWindows, macOS, Linux, Web/CloudLinux, Mac, Windows
Founded20121984

Identical on both: user rating (Not yet rated), category (Machine Learning & Data Science).

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 MATLAB

  • Matrix computations
  • Data visualization
  • Machine learning
  • Deep learning
  • Signal processing
  • Simulink
  • Python
  • C/C++

Both cover

  • Linux support
  • Mac support
  • Windows support

What people use each for

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

Anaconda

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

MATLAB

  • Numerical computing, simulation and algorithm developmentnot Anaconda
  • Engineering and scientific modelling with Simulinknot 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

MATLAB

  • A standard individual licence is $940 a year, and it is annual rather than perpetual
  • Add on toolboxes are bought separately through the web store rather than being included
  • No price is displayed for the academic, student, home or startup licences, each of which requires a quote
  • Eligibility rather than price separates most tiers, so a commercial user has one option

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

MATLAB

$99/month
  • Home$149/perpetual
    • Personal use
    • Core MATLAB
  • Standard$2350/perpetual
    • Commercial use
    • Full features

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 MATLAB if

  • You need matrix computations.
  • You work on Linux, Mac, Windows.
  • You also want data visualization.
MATLAB review

Questions people ask

Is Anaconda or MATLAB better?
Neither clearly leads. Anaconda starts at Free and MATLAB at $99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anaconda or MATLAB?
Anaconda has a free tier; the other does not. Paid plans start at Free for Anaconda and $99/month for MATLAB.
Does Anaconda or MATLAB run on more platforms?
Anaconda runs on Windows, macOS, Linux, Web/Cloud. MATLAB runs on Linux, Mac, Windows.
Can I use Anaconda for free?
Yes. Anaconda has a free tier, so you can try it without paying. MATLAB starts at $99/month.
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 MATLAB is typically brought in for.
What can Anaconda do that MATLAB cannot?
Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. MATLAB covers Matrix computations, Data visualization, Machine learning, Deep learning. Both handle Linux support, Mac support, Windows support.

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
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
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
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
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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