Álvaro Tejero Cantero e9f889d929
Type graph columns as tightly as Ladybug allows
Ladybug is schema-first and strongly typed: a property key gets its type
at table-creation time and there is no widening later. That makes the
Malli to Ladybug mapping the whole of the graph's typing, and it was
leaving a lot on the table: a transform stored as `STRING`, a rect as
`JSON`, a set of feature flags as a single `STRING`. A column typed
`DOUBLE[4]` is four numbers a consumer reads as a tensor row; the same
value as JSON is text somebody has to parse and trust.

`app.graph.schema.types` now maps, in order: scalars; Penpot value types
whose layout is fixed even though Malli only sees a map or a string
(`::gmt/matrix` to `DOUBLE[6]`, `::gpt/point` to `DOUBLE[2]`,
`::grc/rect` to `DOUBLE[4]`, `::clr/hex-color` to `UINT32`); then
structure, with collections to `T[]`, `:map-of` to `MAP(k, v)`, and a
closed map of scalars to a `STRUCT`. JSON is the fallback of last
resort, for schemas that genuinely admit more than one shape.

Two defects fell out. `::sm/set` was unmapped, so `features` and
`migrations` were single strings rather than `STRING[]`, and
`::sm/one-of`, how Penpot spells a closed set of keywords, was unmapped
too, so `blend-mode`, `grow-type`, the constraints and every `layout-*`
were mistyped.

A tight column is only worth having if the writer fills it in that
shape, so `app.graph.schema.values` shapes a value for its type: a
matrix record into six doubles, a hex colour into a packed integer, a
map into a struct's fields. Both writers go through it, so the bulk load
and the incremental sync cannot disagree. What that required:

- STRUCT field names must be backticked in the DDL *and* in every
  literal, because a grid cell has a field named `column`. The catalog
  reports them bare.
- A struct literal's type is its field list, so every declared field
  must appear, and an absent one needs `cast(NULL, '<type>')`. A bare
  NULL is typed STRING and changes the struct's type.
- `STRUCT(…)[]` starts with `STRUCT(` but is a list, so the list check
  comes first.
- Nested lists cannot be rendered with `str`: Clojure's `[1 2]` is
  space-separated and Ladybug reads it as a one-element array.

Three more corrections in the same area:

- `project-attrs` used truthiness where it meant `some?`, so `opacity 0`
  and `blocked false` projected as absent.
- Set-valued columns are written sorted. A set has no order, so the
  column varied between builds of the same file, which is precisely what
  stops two builds being diffable.
- An empty collection is written as `[]` rather than skipped. A shape
  with no fills has none; NULL would say "unknown".

Renamed the `kuzu-*` helpers to `ladybug-*`: Kùzu is deprecated and
Ladybug substitutes it, so a name bearing the engine should bear this
one. The one remaining mention cites the upstream issue Ladybug
inherits.

AI-assisted-by: mixed models
2026-08-07 17:20:27 +02:00
2026-08-03 14:40:36 +02:00
2021-11-15 09:54:36 -05:00
2026-08-04 14:15:35 +02:00
2026-08-06 12:49:52 +02:00
2020-08-11 10:11:23 +02:00
2025-01-22 15:46:23 +01:00
2026-07-22 14:18:51 +02:00
2017-03-06 18:42:58 +01:00
2026-08-06 16:13:06 +02:00
2026-07-31 18:53:05 +02:00
2025-06-02 12:09:20 +02:00
2023-11-15 10:55:39 +01:00
2026-06-09 18:48:03 +02:00
2026-06-11 12:47:20 +02:00
2020-08-05 11:19:34 +02:00

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Penpot is the open-source design platform for teams that build digital products at scale.

Penpots key strength lies in giving you full ownership of your design infrastructure. Built on open source and designed for self-hosting, it puts teams in complete control of their design environment supporting strict compliance and governance requirements. Whether used in the browser or deployed on your own servers, Penpot works with open standards like SVG, CSS, HTML, and JSON.

Real-time collaboration strengthens this foundation, helping teams scale and bring design closer to the product through top-tier capabilities. Additionally, developers feel at home using Penpot, because design is expressed as code, enabling a direct translation and shipping products faster.

Best-in-class native Design Tokens provide a single source of truth between design and development. They ensure consistency, improve collaboration, and make it easier to manage complex design systems.

The MCP server takes it further by enabling multi-directional workflows between design and code. A powerful open API and plugin system makes the workspace programmable, enabling automation, AI-driven workflows, and integrations with the tools and systems you already use.

With CSS Grid and Flex Layout, teams can design responsive interfaces that behave like real code from the start.

Combined, these features turn Penpot into a full-stack design platform for building scalable design systems and fully integrated product development processes.

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Why Penpot

Penpot connects design, code, and AI workflows through a code-based approach, making designs readable by developers and AI via the MCP server. This approach helps teams ship whats actually designed and manage design systems at scale with powerful design tokens. As a self-hosted, open-source and real-time collaboration platform, Penpot offers full flexibility, security, and ownership without vendor lock-in. Learn more about why Penpot is the platform for your team.

Plugin system

Penpot plugins let you expand the platform's capabilities, give you the flexibility to integrate it with other apps, and design custom solutions.

Designed for developers

Penpot was built to serve both designers and developers and create a fluid design-code process. You have the choice to enjoy real-time collaboration or play "solo".

Inspect mode

Work with ready-to-use code and make your workflow easy and fast. The inspect tab gives instant access to SVG, CSS and HTML code.

Integrations

Penpot offers integration into the development toolchain, thanks to its support for webhooks and an API accessible through access tokens.

Building Design Systems: design tokens, components and variants

Penpot brings design systems to code-minded teams: a single source of truth with native Design Tokens, Components, and Variants for scalable, reusable, and consistent UI across projects and platforms.

Penpot Design Systems

Getting started

Penpot is the only design & prototype platform that is deployment agnostic. You can use it in our SAAS or deploy it anywhere.

Learn how to install it with Docker, Kubernetes, Elestio or other options on our website.

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Want to go a step further? Become a Penpot Ambassador and help grow the Penpot community in your region while contributing to a global, open design ecosystem.

If you need help or have any questions; if youd like to share your experience using Penpot or get inspired; if youd rather meet our community of developers and designers, join our Community!

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To find (almost) everything you need to know on how to contribute to Penpot, refer to the contributing guide.

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This Source Code Form is subject to the terms of the Mozilla Public
License, v. 2.0. If a copy of the MPL was not distributed with this
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Copyright (c) KALEIDOS INC Sucursal en España SL

Penpot is a Kaleidos open source project

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Penpot: The open-source design tool for design and code collaboration
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