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Machine Learning · head to head

Anaconda vs Deepnote

Anaconda logo

Anaconda

Machine Learning

The world's most popular data science platform

From
Free
Rated
-
Full reviewWebsite
Deepnote logo

Deepnote

Business Intelligence

Collaborative cloud workspace for data analytics and machine learning

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Anaconda dependency resolution slower than pip due to SAT solver complexity; Deepnote free plan limited to 3 editors, restricting team usage
  • They diverge on capability: Anaconda covers Conda package manager, Deepnote covers Collaborative notebooks.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Anaconda and Deepnote actually diverge.

Attributes where Anaconda and Deepnote differ
AttributeAnacondaDeepnote
Pricing modelUnknownSubscription with free tier
PlatformsWindows, macOS, Linux, Web/CloudWeb, API
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 Deepnote

  • Collaborative notebooks
  • Interactive dashboards
  • Data agent building
  • Scheduled pipelines
  • Model management
  • 100+ integrations
  • GPU support
  • API deployment

What people use each for

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

Anaconda

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

Deepnote

  • Data exploration and analysis workflowsnot Anaconda
  • Building interactive business intelligence dashboardsnot Anaconda
  • Collaborative machine learning model developmentnot Anaconda
  • Automating ETL and data pipeline orchestrationnot Anaconda
  • Creating shareable reports without exportsnot 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

Deepnote

  • Free plan limited to 3 editors, restricting team usage
  • Limited revision history on free plan compared to competitors
  • Requires Team plan or higher for automated scheduling
  • GPU support incurs additional charges beyond base subscription
  • No mentioned offline capability

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

Deepnote

Free
  • FreeFree
    • Up to 3 editors
    • Up to 5 projects
    • Limited Deepnote AI
  • Team$39/month
    • Unlimited viewers and notebooks
    • Full Deepnote AI access
    • Premium integrations
  • Enterprise$null/custom
    • Everything in Team plan
    • Custom contracts
    • Priority support

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 Deepnote if

  • You need collaborative notebooks.
  • You want to start without paying.
  • You work on Web, API.
  • You also want interactive dashboards.
Deepnote review

Questions people ask

Is Anaconda or Deepnote better?
Neither clearly leads. Anaconda starts at Free and Deepnote at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anaconda or Deepnote?
Anaconda starts at Free and Deepnote at Free.
Does Anaconda or Deepnote run on more platforms?
Anaconda runs on Windows, macOS, Linux, Web/Cloud. Deepnote runs on Web, API.
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 Deepnote is typically brought in for.
What can Anaconda do that Deepnote cannot?
Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. Deepnote covers Collaborative notebooks, Interactive dashboards, Data agent building, Scheduled 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
Deepnote: What is included in the free Deepnote plan?

The free plan includes up to 3 editors, up to 5 projects, limited Deepnote AI, basic machines with 5 GB RAM, and 7-day revision history.

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
Deepnote: What data sources can Deepnote integrate with?

Deepnote integrates with 100+ data sources including major data warehouses like Snowflake, BigQuery, and Redshift, as well as BI platforms like Looker, Tableau, and Power BI.

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
Deepnote: Does Deepnote support collaboration?

Yes, Deepnote provides real-time collaborative notebooks where multiple team members can work simultaneously. The Team plan allows unlimited viewers and notebooks.

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
Deepnote: What compliance certifications does Deepnote have?

Deepnote is SOC 2, HIPAA, GDPR, and CCPA compliant and offers role-based access control, single sign-on, and directory synchronization.

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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