Anaconda Notebooks
Anaconda Notebooks: A capable cloud notebook environment, but not a fit for artifact repository needs. Ranked #60 of 63 in Artifact Repository Software by our editors (4.5/10); pricing: Free plan; best for python data science and AI projects.
At a glance
- Editor score4.5 / 10
- PricingFree plan
- Best forPython data science and AI projects
- Free planYes
- Paid from$15/user/mo
- Founded2012
- Facts checked20 Sep 2026

Where it wins
- Browser-based JupyterLab with preconfigured data-science environments
- Conda package management and thousands of data-science packages
- Notebook sharing, Panel deployment, and an AI assistant
Where it doesn't
- Not designed for artifact package hosting or proxying
- No artifact lifecycle controls for repository workflows
- Artifact repository teams may need a different product category
Our verdict on Anaconda Notebooks
Anaconda Notebooks is a web-based JupyterLab environment for writing, editing, and running Python code without local installation. It is aimed at learners, individual developers, data scientists, and teams working on data science, machine learning, and AI projects. The service includes preconfigured environments, Conda configuration and package management, notebook sharing through links and badges, Panel app deployment, CSV data connectors, and an AI assistant for Python and table analysis.
Pricing follows a freemium model. The Free plan costs $0 per month and includes Anaconda Core package management, notebooks with 5GB of cloud storage, thousands of data-science, machine-learning, and AI packages, Anaconda Assistant code help, and introductory courses. Starter costs $15 per user per month when billed monthly and adds 10GB of storage per user, a professional development environment, on-demand training courses, and team workspace controls. Business costs $50 per user per month and adds automated vulnerability scanning, audit trails, project governance, centralized access management, SSO, threat intelligence, and curated security data. Custom adds self-hosting, AI orchestration with built-in observability, advanced multi-team governance, custom integrations, and SLAs.
Its strongest fit is browser-based Python development rather than artifact repository management. Panel, Anaconda Cloud, and Excel integrations support notebook-centered workflows, while web access avoids a local installation. However, teams evaluating package hosting, proxying, or artifact lifecycle controls should choose a dedicated artifact repository product instead. Anaconda Notebooks makes sense for learning, experimentation, analysis, and collaborative AI work; it should not be selected when the primary requirement is managing and distributing software artifacts.
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Anaconda Notebooks pricing
All 4 Anaconda Notebooks plans and prices →
Anaconda Notebooks fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $15/user/mo |
| Included storage | 10 GB |
| Supported formats | Not verified |
| Container artifacts | Not verified |
| Upstream proxying | Not verified |
| Access control | Not verified |
| Retention rules | Not verified |
| Self-hosted deployment | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: Panel, Anaconda Cloud, Excel |
| Pricing | Free plan (source) |
| Website | anaconda.com |
| Facts checked | 20 Sep 2026 |
Anaconda Notebooks integrations
Anaconda Notebooks lists 3 integrations on its own site.
- Panel
- Anaconda Cloud
- Excel
Alternatives to Anaconda Notebooks
- JFrog ArtifactoryA broad artifact platform for enterprises managing packages, containers, releases, and AI/ML assets.9.4
- Sonatype Nexus RepositoryA mature repository platform with broad format support and flexible deployment choices.8.7
- Google Artifact RegistryA Google Cloud-native artifact repository with broad format support and usage-based pricing.7.9
See all Anaconda Notebooks alternatives →
Also Ranked In
Anaconda Notebooks is ranked in 5 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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