Penpot
Saleor
| Feature | Penpot | Saleor |
|---|---|---|
| Pricing | Free / from $8/mo | Free / from $300/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Best For | open-source-teams, privacy-focused-designers, developers, educational-institutions | developer-teams, enterprise-ecommerce, multi-channel-retailers, graphql-enthusiasts |
| Founded | 2015 | 2018 |
| Vector Editing | ✓ | ✗ |
| Prototyping | ✓ | ✗ |
| Components | ✓ | ✗ |
| Design Tokens | ✓ | ✗ |
| Real Time Collaboration | ✓ | ✗ |
| Css Output | ✓ | ✗ |
| Self Hostable | ✓ | ✗ |
| Graphql Api | ✗ | ✓ |
| Multi Channel | ✗ | ✓ |
| Dashboard | ✗ | ✓ |
| Webhooks | ✗ | ✓ |
| Apps System | ✗ | ✓ |
| Warehouse Management | ✗ | ✓ |
| Promotions Engine | ✗ | ✓ |
✓ Penpot Pros
- Open-source and self-hostable for free
- CSS-based design outputs production-ready code
- Real-time collaboration (Figma-like experience)
- SVG-native (no proprietary formats)
✗ Penpot Cons
- Performance slower than Figma on complex files
- Smaller plugin and community ecosystem
- Missing some advanced design features
✓ Saleor Pros
- GraphQL API-first architecture for modern frontends
- Enterprise features in free open-source edition
- Strong multi-channel commerce capabilities
- Built-in dashboard with excellent UX
✗ Saleor Cons
- Cloud hosting is expensive for startups
- Smaller community than Shopify/WooCommerce
- Self-hosting requires Python/Django expertise
The Verdict
Penpot is built for open source teams and privacy focused designers, with a focus on vector-editing and prototyping. Saleor targets developer teams and enterprise ecommerce and leads with graphql-api and multi-channel.
On pricing, Penpot is the clear winner for budget-conscious users — starting at $8/mo compared to $300/mo for Saleor. That $292/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.