Penpot — Open Source Design & Prototyping Platform

What it is

Penpot is an open-source design and prototyping platform positioned as an alternative to Figma. It runs in the browser, supports real-time collaboration, and produces SVG-native output. It is fully self-hostable, giving teams complete control over their design data.

Penpot targets designers, design teams, and organizations who need a collaborative design tool without vendor lock-in or per-seat subscription costs.

How it saves time or tokens

Penpot's SVG-native output means designs translate directly to web standards without export conversion. Real-time collaboration eliminates version-passing overhead. Self-hosting removes dependency on third-party service availability and data residency concerns.

How to use

1. Deploy with Docker:

curl -o docker-compose.yaml https://raw.githubusercontent.com/penpot/penpot/main/docker/images/docker-compose.yaml
docker compose -p penpot up -d

1. Open http://localhost:9001 and create an account.
2. Start designing with components, layers, and prototyping interactions.

Example

# Download the Docker Compose file
curl -o docker-compose.yaml \
  https://raw.githubusercontent.com/penpot/penpot/main/docker/images/docker-compose.yaml

# Start Penpot
docker compose -p penpot up -d

# Access at http://localhost:9001
# Create a project, add frames, components, and prototype interactions

Related on TokRepo

• AI Tools for Design — Design tools and creative platforms
• Self-Hosted Tools — More self-hosted productivity tools

Key considerations

When evaluating Penpot for your workflow, consider the following factors. First, assess whether your team has the technical prerequisites to adopt this tool effectively. Second, evaluate the maintenance burden against the productivity gains. Third, check community activity and documentation quality to ensure long-term viability. Integration with your existing toolchain matters more than feature count alone. Start with a small pilot project before rolling out across the organization. Monitor resource usage during the initial adoption phase to identify bottlenecks early. Document your configuration decisions so team members can onboard independently.

Common pitfalls

• The Docker deployment requires several containers (app, PostgreSQL, Redis); ensure sufficient memory (4GB+ recommended).
• Plugin ecosystem is smaller than Figma's; verify your required plugins are available or have alternatives.
• SVG export may differ from CSS-based design tools; test exported assets in your target web framework.