Penpot
7.6/10Best open-source design tool
The open-source pick under MPL-2.0 with realtime collaboration on all platforms, Spain-based and EU-funded.
| Plan | Monthly | What you get |
|---|---|---|
| Free | Free | Unlimited open-source vector design under MPL-2.0; runs in any browser with native apps for Mac, Windows, and Linux |
Penpot is the open-source design product most readers searching for a Figma alternative do not yet know about. The wedge against Figma is sovereignty: the data lives where you choose, including a self-hosted Docker deploy on your own infrastructure if compliance demands it. Kaleidos Open Source maintains Penpot from Spain with funding from the European Union under the NLnet Foundation and the Next Generation Internet program.
Free under the Mozilla Public License 2.0 is the only tier. It runs in any browser, ships native apps for Mac, Windows, and Linux, and supports realtime multi-user collaboration as a first-class feature, not a paid upgrade. The product covers vector design, prototyping with interactive flows, design systems with libraries and components, and a Dev Mode equivalent that exports CSS, SVG, and design tokens directly.
The catch: the asset library is smaller than Figma Community, there is no AI assistant, and the integration ecosystem (Slack, Jira, Notion plugins) is shallow compared to Figma's. Default to Penpot when open source or data sovereignty matters; default to Figma when plugin depth and the deepest design-system tooling are the buy.
Pros
- Free under MPL-2.0 open source, all platforms, no seat cap
- Realtime collaboration as a first-class feature, not a paid upgrade
- Self-host Docker deploy available for compliance-bound teams
- Funded by the EU NLnet program; not dependent on a VC exit
- Exports CSS, SVG, and design tokens directly from Dev Mode
Cons
- Asset library is smaller than Figma Community
- No AI assistant; no native plugin ecosystem at Figma scale
Best for: Open-source advocates, EU-funded teams, design teams with strict data-sovereignty requirements, and budget-constrained startups.
- AI privacy
- 10
- Performance
- 7
- Canvas UX
- 7
- Value
- 10
- Support
- 6