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Machine Learning · head to head

Anaconda vs Devin

Anaconda logo

Anaconda

Machine Learning

The world's most popular data science platform

From
Free
Rated
-
Devin logo

Devin

Software Development

Autonomous AI software engineer planning and executing code in its own environment

From
On request
Rated
-

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; Devin pricing not published; specific costs and plan tiers require signup or contact with sales

Where they differ

Only the attributes on which Anaconda and Devin actually diverge.

Attributes where Anaconda and Devin differ
AttributeAnacondaDevin
Starting priceFreeOn request
Pricing modelUnknownsubscription
Free tierYesNo
PlatformsWindows, macOS, Linux, Web/CloudDesktop, Windsurf integration, Web
CategoryMachine LearningSoftware Development
Founded2012Unknown

Identical on both: 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 Devin

Nothing recorded that Anaconda does not also cover.

What people use each for

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

Anaconda

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

Devin

  • Feature implementation and ticket resolution in established codebasesnot Anaconda
  • Code migrations and refactoring at scale across repositoriesnot Anaconda
  • Bug fixing and debugging with test-driven verificationnot Anaconda
  • Rapid prototyping and proof-of-concept developmentnot Anaconda
  • Repetitive implementation tasks freeing human engineers for complex designnot 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

Devin

  • Pricing not published; specific costs and plan tiers require signup or contact with sales
  • Cannot handle extremely difficult tasks reliably; success rate decreases with task complexity
  • Requires clear, well-scoped task descriptions; ambiguous requirements reduce effectiveness
  • Requires human oversight and integration into existing workflows; not fully autonomous

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

Devin

On request

No published plan breakdown. See the Devin 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.

Choose Devin if

  • You work on Desktop, Windsurf integration, Web.

Questions people ask

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

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
Devin: What does Devin cost?

Devin's pricing is not publicly listed on their website. Interested parties must request a demo to discuss pricing and availability.

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
Devin: How do I get access to Devin?

Devin is accessed by requesting a demo. There is no information about self-service signup, trial, or pricing on the public website.

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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