Anaconda Notebooks
Anaconda Notebooks puts JupyterLab in a cloud workspace for writing, editing, and running Python through an Anaconda Cloud account.
What Anaconda Notebooks is
Anaconda Notebooks puts JupyterLab in a cloud workspace for writing, editing, and running Python through an Anaconda Cloud account. It lets users begin data science and AI projects in a browser with packages and computing resources supplied by the service, avoiding a local Python installation. Two preconfigured environments are available: one uses the latest Anaconda Distribution packages, and the other is set up with packages selected for AI workflows. A notebook can be shared by URL so others can open a copy, work with it using an Anaconda account, or download it. Users can also publish notebook outputs as web applications with Panel and share the resulting URL. Anaconda Assistant for Python can analyze tables and suggest ways to work with data; Data Connectors let users save CSV files on Anaconda Cloud for access from Excel or a notebook. The free plan includes 5 GB of cloud storage. Starter costs $15 a month, billed monthly, with 10 GB of storage per user. An organization can restrict notebook sharing, which may result in a 403 error.
Good
- Runs Python in a browser without local installation
- Includes separate general-purpose and AI environments
- Notebook sharing supports copies, collaboration, or downloads
- Panel can publish notebook outputs as web apps
- Free plan includes 5 GB cloud storage
Watch out
- Starter costs $15 a month
- Sharing can be blocked by an organization
- Web platform only
Who it suits
It suits learners and Python, data science, or AI users who want to work in a browser rather than install Python locally. Teams that need notebook sharing or published Panel applications can use its URL-based options, subject to organizational sharing rules.
Verdict
Anaconda Notebooks combines browser-based Python work with notebook sharing and Panel publishing. The free plan offers 5 GB of cloud storage, while Starter adds 10 GB per user for $15 a month, billed monthly.
Plans and prices
From Anaconda Notebooks's own pricing page, checked 20 Sep 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | 5 GB cloud storage |
| Starter | $15 a month | 10 GB storage per user · billed monthly |
| Business | $50 a month | Automated vulnerability scanning · Audit trails and project governance · Centralized access management and SSO · Threat intelligence and curated security data · billed monthly |
| Custom | — | Self-host on-premises, private, or public cloud · AI orchestration with built-in observability · Advanced multi-team governance · Custom integrations and SLAs |
| Anaconda Core Free | Free | Notebooks with 5GB cloud storage · thousands of data science, ML & AI packages · Anaconda Assistant code help · intro courses |
| Anaconda Core Starter | $15 a month | 10GB storage per user · professional development environment · on-demand training courses · team workspace controls · $15 /user/mo |
| Anaconda Core Business | $50 a month | automated vulnerability scanning · audit trails and project governance · centralized access management and SSO · threat intelligence and curated security data · $50 /user/mo |
| Anaconda Core Custom | Priced on request | self-host on-prem, private, or public cloud · advanced multi-team governance · custom integrations and SLAs · Let's Talk |
The facts
Each one read from Anaconda Notebooks's own pages, with the date it was checked.
What it does
- API access
- The product page says the Anaconda Cloud account handles API key generation and access-based permissions for the AI Assistant.checked 28 Sep 2026
- Assistant
- Anaconda Assistant for Python can analyze tables and recommend ways to work with the data.checked 28 Sep 2026
- Data connectors
- Data Connectors let users save CSV files on Anaconda Cloud for access from Excel or a notebook.checked 28 Sep 2026
- Environments
- The service provides two preconfigured Python environments: one with the latest Anaconda Distribution packages and another with packages selected for AI workflows.checked 28 Sep 2026
- No local installation
- The FAQ says cloud notebooks remove the need to download and install Python, whose setup can vary by operating system and laptop specifications.checked 28 Sep 2026
- Notebook sharing
- Users can share a notebook through a URL that lets others open a copy, work on it with an Anaconda account, or download it.checked 28 Sep 2026
- Panel publishing
- Users can deploy notebook outputs as a web application using Panel and share the resulting URL.checked 28 Sep 2026
- Security
- Anaconda says it encrypts stored data at the disk and database levels and encrypts application, database, webhook, and API traffic using TLS/HTTPS.checked 28 Sep 2026
- Sharing restriction
- An organization can prohibit notebook sharing, in which case a user may receive a 403 error when trying to share.checked 28 Sep 2026
- Target users
- The product page presents Notebooks for learners and Python/data science users ranging from beginners to seasoned professionals.checked 28 Sep 2026
- What it is
- Anaconda Notebooks puts JupyterLab in a cloud-based environment where users can write, edit, and run Python code through an Anaconda Cloud account.checked 28 Sep 2026
Where it runs
- Browser coding
- Users can start data science and AI projects directly from a browser with packages and computing power provided by the service.checked 28 Sep 2026
The company
- Company history
- Anaconda says it was founded in 2012 by Peter Wang and Travis Oliphant.checked 28 Sep 2026
- Founded
- 2012checked 28 Sep 2026
- Headquarters
- Austin, Texas, USAchecked 28 Sep 2026
Money
- Free plan
- Yeschecked 20 Sep 2026
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