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Machine Learning · head to head

Anaconda vs ClearML

Anaconda logo

Anaconda

Machine Learning

The world's most popular data science platform

From
Free
Rated
-
Full reviewWebsite
ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Anaconda dependency resolution slower than pip due to SAT solver complexity; ClearML broad scope means more to learn and more to run than a focused tracking tool
  • They diverge on capability: Anaconda covers Conda package manager, ClearML covers Experiment tracking.

Where they differ

Only the attributes on which Anaconda and ClearML actually diverge.

Attributes where Anaconda and ClearML differ
AttributeAnacondaClearML
Pricing modelUnknownOpen-source self-hosted, with paid hosted and enterprise tiers
PlatformsWindows, macOS, Linux, Web/CloudLinux, macOS, Windows, Docker, Kubernetes
Founded2012Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning).

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 ClearML

  • Experiment tracking
  • Remote execution
  • Data versioning
  • Pipelines

What people use each for

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

Anaconda

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

ClearML

  • Tracking experiments across a team so results are reproduciblenot Anaconda
  • Moving training from laptops to shared GPU hardware without repackagingnot Anaconda
  • Versioning datasets alongside the experiments that consumed themnot 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

ClearML

  • Broad scope means more to learn and more to run than a focused tracking tool
  • Self-hosting the server is real infrastructure — database, file storage and web server
  • Documentation quality is uneven across the newer parts of the platform
  • Smaller community than the most popular tracking tools, so fewer worked examples exist

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

ClearML

Free
  • Open sourceFree
    • Experiment tracking
    • Pipelines
    • Self-hosted server

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 ClearML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want remote execution.
ClearML review

Questions people ask

Is Anaconda or ClearML better?
Neither clearly leads. Anaconda starts at Free and ClearML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anaconda or ClearML?
Anaconda starts at Free and ClearML at Free.
Does Anaconda or ClearML run on more platforms?
Anaconda runs on Windows, macOS, Linux, Web/Cloud. ClearML runs on Linux, macOS, Windows, Docker, Kubernetes.
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 ClearML is typically brought in for.
What can Anaconda do that ClearML cannot?
Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines.

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
ClearML: Is ClearML free?

The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.

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
ClearML: How much code does tracking require?

Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.

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
ClearML: Does ClearML replace MLflow?

It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.

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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