Software · head to head
MATLAB vs Anaconda
The short version
- Only Anaconda has a free tier, so it costs nothing to try first.
- Each has a real cost: MATLAB a standard individual licence is $940 a year, and it is annual rather than perpetual; Anaconda dependency resolution slower than pip due to SAT solver complexity
- They diverge on capability: MATLAB covers Matrix computations, Anaconda covers Conda package manager.
Where they differ
Only the attributes on which MATLAB and Anaconda actually diverge.
Identical on both: user rating (Not yet rated), category (Unknown).
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 MATLAB
- Matrix computations
- Data visualization
- Machine learning
- Deep learning
- Signal processing
- Simulink
- Python
- C/C++
Only in Anaconda
- Conda package manager
- Environment management
- 1500+ packages
- Navigator GUI
- Cross-platform support
- Jupyter
- VS Code
- PyCharm
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
MATLAB
- Numerical computing, simulation and algorithm developmentnot Anaconda
- Engineering and scientific modelling with Simulinknot Anaconda
Anaconda
- Machine learningnot MATLAB
- Data analysisnot MATLAB
- Model trainingnot MATLAB
- Predictive analyticsnot MATLAB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
MATLAB
$99/month- Home$149/perpetual
- Personal use
- Core MATLAB
- Standard$2350/perpetual
- Commercial use
- Full features
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
Which should you pick?
Choose MATLAB if
- You need matrix computations.
- You work on Linux, Mac, Windows.
- You also want data visualization.
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.
Questions people ask
- Is MATLAB or Anaconda better?
- Neither clearly leads. MATLAB starts at $99/month and Anaconda at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, MATLAB or Anaconda?
- Anaconda has a free tier; the other does not. Paid plans start at $99/month for MATLAB and Free for Anaconda.
- Does MATLAB or Anaconda run on more platforms?
- MATLAB runs on Linux, Mac, Windows. Anaconda runs on Windows, macOS, Linux, Web/Cloud.
- 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 MATLAB best used for?
- MATLAB is most often used for numerical computing, simulation and algorithm development, engineering and scientific modelling with simulink. Of those, numerical computing, simulation and algorithm development and engineering and scientific modelling with simulink are not what Anaconda is typically brought in for.
- What can MATLAB do that Anaconda cannot?
- MATLAB covers Matrix computations, Data visualization, Machine learning, Deep learning. Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. 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.
SourceAnaconda: 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.
SourceAnaconda: 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.
SourceAnaconda: 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.
SourceAnaconda: 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