Penpot 2.2 and the design tool selection process
Penpot 2.2 introduces per-side stroke width and enhanced design token synchronization to support open-source workflows. Design teams evaluating Figma and Sketch can compare seat-based pricing models against Penpot's self-hosted infrastructure and CSS-aligned logic.
Figma economics and implementation
Figma annual pricing for Professional Full seats sits at $16 per month. Organization Full seats cost $55 per month, while Enterprise Full seats cost $90. Total expenditure for a design team increases as headcount grows because the subscription scales with the number of Full and Dev seats. Development seats cost $12 and Collaboration seats cost $3. Moving legacy Sketch or XD libraries, tokens, and component systems into Figma requires heavy implementation effort during the first year. Paid seats include monthly AI credit allotments, but teams must purchase add-on credits if usage exceeds these limits. Governance+ security controls function as an Enterprise add-on. Figma also allows for view-and-comment access without paid seats on certain plans. The total cost of ownership for an enterprise rollout depends on seat mix and design-system migration. Figma is a cloud-delivered SaaS, but enterprise rollouts focus on SSO and seat approvals. Figma maintains a rich plugin ecosystem that connects to Jira and Slack. This tool receives 3,387 known review signals with an average score of 3.8.
Penpot 2.2 features and infrastructure
Penpot 2.2 introduces per-side stroke width for rectangles and boards. This feature works with design tokens to keep styles synchronized. The WebGL rendering engine provides sharper text, smoother canvases, faster exports, and improved rendering. Users can reassign keyboard shortcuts through a search or recording function. Penpot 2.2 allows teams to store design tokens in a single library for use in every connected file. These tokens stay in sync with library updates just like components and colors. This functionality helps maintain a single source of truth for the design system. Because the path editor was revamped, users can draw smoother freehand curves using a path toolbar. Node snapping remains on by default to assist with precision.
| Resource | Specification |
|---|---|
| CPU | 4 CPUs |
| RAM | 16GB |
| Minimum Database | 50GB to 100GB |
| Scaling | +5GB per editor after 10 |
Self-hosting Penpot supports data ownership. The tool provides a free open-source entry point with no seat limits for team growth. Users require the latest stable version of Chrome to use the interface. Powerful end-user computers are necessary to get the most out of the software. For environments with more than 10 users, organizations should add approximately 5GB of capacity per additional editor. Regarding disk requirements, the primary factors include database storage and user-uploaded files. As a rule of thumb, start with a minimum database size of 50GB to 100GB with elastic sizing capability. Community members contributed fixes to this release, such as resolving crashes on page navigation with MCP plugins and fixing Windows build failures from path conflicts. For cache management, Penpot uses Valkey, which uses the instance’s RAM rather than disk storage. To prevent the cache from hogging system memory, administrators use the maxmemory configuration directive.
Design-to-code paradigm and comparison
Figma users report performance lag on very large files. A minority of users also report clunky experiences or confusing subscription changes. Designers migrating to Penpot find that the tool uses font weight numbers like 400 or 500 instead of names like Regular or Bold, which mirrors how CSS handles typography in a standard web development environment. You should evaluate how your team handles the transition from image-based editing to code-based logic. Penpot allows users to organize tokens into themes to manage light and dark modes. This capability simplifies designing for different versions or platforms. The tool handles font weight through numbers rather than names. Many users advocate for Penpot because of its open-source position. Figma’s infrastructure remains tied to an image-editing mindset. Users who need to flatten text in Penpot must install a plugin to do so. Designers using Penpot can implement a workflow where tokens are managed in granular files like base/colors.json or base/spacing.json to maintain version control and AI-readability. This method prevents the creation of files with thousands of lines. This separation helps avoid UI friction when toggling between multiple sets. A proposal for a two-way unified design system suggests that design tools should be agnostic. This model treats the design system as the single source of truth while the tool acts as a themed skin. In this paradigm, an update to a component in Penpot would sync back to update libraries in Figma or Sketch. This would allow teams to use a standardized ruleset like a universal JSON schema. Can a universal JSON schema for design tokens eventually make the specific choice between Penpot and Figma irrelevant?