Open Notebook vs PrivateGPT

Short answer

Open Notebook: Private, self-hosted alternative to Google NotebookLM with your choice of AI models. PrivateGPT: API-first private document Q&A that sits on top of your own LLM server. Both are in our Knowledge base & RAG category.

Our data does not separate them on cost, hardware, license, activity or deploy method (or one of them does not publish the figure). Decide on features: read the descriptions on each app page and try both.

PrivateGPT publishes no official RAM figure, so we cannot compare hosting cost directly.

Last updated · computed from each project's official docs and live GitHub data · sources

Open Notebook vs PrivateGPT side by side

Open NotebookPrivateGPT
CategoryKnowledge base & RAGKnowledge base & RAG
What it isPrivate, self-hosted alternative to Google NotebookLM with your choice of AI models.API-first private document Q&A that sits on top of your own LLM server.
LicenseMITApache-2.0
License typePermissivePermissive
License conditionsPermissive. Internal and commercial use allowed; keep the license notice.Permissive. Internal and commercial use allowed; keep license and notices.
StatusActiveActive
GitHub stars40.5k57.6k
Last commitOct 5, 2026Oct 20, 2026
Latest releasev1.15.0v1.0.1
Minimum hardware4 GB RAMNot published
Recommended hardwareNot publishedNot published
RAM measured by usNot tested yetNot tested yet
GPUNot required / not statedNot required / not stated
Est. server costfrom €19.99/moNot estimated
Deploy methodDocker Composeuv (Python) or Docker
Known gotchas4 listed2 listed
TelemetryNot documentedNot documented
Calls home by defaultNot documentedNot documented
SSO (OIDC / SAML / LDAP)Not supported (OIDC not supported · SAML not supported · LDAP not supported)Paid / enterprise only (LDAP paid)
Audit logNoPaid / enterprise only
RBACNoPaid / enterprise only
DetailsFull Open Notebook guide →Full PrivateGPT guide →

Key differences

  • License: Open Notebook: MIT (Permissive). PrivateGPT: Apache-2.0 (Permissive).
  • Official hardware: Open Notebook: minimum 4 GB RAM. PrivateGPT: not published.
  • Est. server cost: Open Notebook: from €19.99/mo. PrivateGPT: not estimated (no official RAM figure).
  • Deploy: Open Notebook: Docker Compose · multi-container stack. PrivateGPT: uv (Python) or Docker · uv (Python) or Docker.
  • GitHub stars: Open Notebook: 40.5k. PrivateGPT: 57.6k.
  • Last commit: Open Notebook: Oct 5, 2026. PrivateGPT: Oct 20, 2026.
  • Latest release: Open Notebook: v1.15.0 (Oct 4, 2026). PrivateGPT: v1.0.1 (Jun 18, 2026).

Same for both: Category: Knowledge base & RAG; GPU: not required or not stated; Status: Active.

The two projects share too few published figures for a data-based recommendation. We do not fill gaps with guesses.

Open Notebook vs PrivateGPT: FAQ

Open Notebook or PrivateGPT: which should a small business choose?

Our data does not separate them on cost, hardware, license, activity or deploy method (or one of them does not publish the figure). Decide on features: read the descriptions on each app page and try both. PrivateGPT publishes no official RAM figure, so we cannot compare hosting cost directly.

Which is cheaper to self-host, Open Notebook or PrivateGPT?

Open Notebook: from €19.99/mo. PrivateGPT: not estimated (no official RAM figure). Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.

How much hardware do Open Notebook and PrivateGPT need?

Open Notebook: minimum 4 GB RAM. PrivateGPT: not published.

What is the license difference between Open Notebook and PrivateGPT?

Open Notebook: MIT (Permissive). Permissive. Internal and commercial use allowed; keep the license notice. PrivateGPT: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. This is a summary, not legal advice.

Is Open Notebook or PrivateGPT more actively maintained?

Open Notebook: Active, last commit Oct 5, 2026. PrivateGPT: Active, last commit Oct 20, 2026. GitHub data refreshed Oct 22, 2026.

Which is easier to deploy, Open Notebook or PrivateGPT?

Open Notebook installs via Docker Compose (multi-container stack); PrivateGPT via uv (Python) or Docker (uv (Python) or Docker). Open Notebook lists 4 known gotchas and PrivateGPT lists 2; see each app page.

Related

Sources

Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.