TALA is open-sourceTALA 是开源的

Name: D2
Author: D2

September 7, 20262026年9月7日 | Alexander Wang2026年9月7日 | Alexander Wang

Following up on the announcement here, TALA (Terrastruct's AutoLayout Algorithm) is now open-source under the same license as D2 (MPL-2.0).继此处公告之后，TALA（Terrastruct 的 AutoLayout 算法）现已开源，采用与 D2 相同的许可证（MPL-2.0）。

TALA is a novel autolayout algorithm designed with software architecture diagrams in mind. This means it's primarily an orthogonal layout engine, which more closely matches what you might find on whiteboards, rather than the DAG-based ones that grow in one direction. It blends ideas from different graph-drawing research papers (cited in source code) along with original techniques to achieve aesthetic diagrams. It considers multiple objectives of "aesthetic", including symmetry, median distance, flow, clustering of like nodes, and much more.TALA 是一种新颖的自动布局算法，专为软件架构图而设计。这意味着它主要是一个正交布局引擎，更接近于你在白板上可能看到的内容，而不是那种朝一个方向生长的基于 DAG 的布局。它融合了来自不同图绘制研究论文（在源码中引用）的思想以及原创技术，以实现美观的图表。它考虑了“美观”的多个目标，包括对称性、中位距离、流向、相似节点的聚类等等。

I'll keep the text short and lead with examples.我会保持文字简短，并以示例开头。

The first batch compares diagrams rendered with TALA with the other two layout algorithms D2 comes with -- Dagre and ELK. These are not hand-selected, I just found public d2 files from around GitHub. So for some, you may very well prefer the not-TALA layout.第一批比较了使用 TALA 渲染的图表与 D2 附带的另外两种布局算法——Dagre 和 ELK——渲染的图表。这些并非手工挑选，我只是从 GitHub 上找到了公开的 d2 文件。因此，对于某些图表，你很可能更喜欢非 TALA 的布局。
The second batch demonstrates a unique property of TALA, which is that node positions and sizes can be customized, e.g. locking in the coordinates. This lends itself especially well to agentic use cases, where models can draw in 2D space well, but TALA still takes care of routing, which models still struggle with. I had AI generate these.第二批展示了 TALA 的一个独特属性，即节点位置和大小可以自定义，例如锁定坐标。这特别适合智能体用例，模型可以很好地绘制 2D 空间，但 TALA 仍然负责处理模型仍难以应对的路由。这些是我让 AI 生成的。
The third batch demonstrates TALA's capability to support a hybrid of some nodes specifying coordinates and some left to the layout engine. You might have a specific shape of a collection of nodes in mind, which you can specify with coordinates, and TALA can take care of the rest. Again, AI generated.第三批展示了 TALA 支持混合模式的能力，即一些节点指定坐标，另一些留给布局引擎。你可能对一组节点的特定形状有想法，可以用坐标指定，TALA 可以处理其余部分。同样是 AI 生成的。

Please also note that TALA is not without tradeoffs.另请注意，TALA 并非没有取舍。

It has randomness in the algorithm. It finds the best layout by using a default of 3 seeds and choosing the one scored the best. Given the same seeds and same input, it'll produce the same diagram. But let's say you just add one more node. The diagram could look completely different. In Dagre and ELK, it looks mostly the same as prior, with the extra node accommodated for. This is sometimes desirable.它的算法具有随机性。它通过默认使用 3 个种子并选择评分最高的一个来找到最佳布局。给定相同的种子和相同的输入，它将生成相同的图表。但假设你只增加一个节点，图表可能会看起来完全不同。而在 Dagre 和 ELK 中，它看起来与之前大致相同，只是容纳了额外的节点。这有时是可取的。
It doesn't do DAGs as well. I often find myself preferring Dagre or ELK when I want a long flowing graph.它处理 DAG 的效果没那么好。当我想要一个长而流畅的图时，我经常发现自己更喜欢 Dagre 或 ELK。
It can take longer to run for larger diagrams -- scaling nonlinearly. For a benchmark of TALA's runtime performance compared to others, see https://github.com/d2lang/d2-benchmarks.对于较大的图表，运行时间可能更长——呈非线性扩展。有关 TALA 与其他布局算法运行时性能对比的基准测试，请参阅 https://github.com/d2lang/d2-benchmarks。

TALA comes bundled into D2 v0.9.0, so just install and specify with --layout=tala to try it out! Or head on over to https://play.d2lang.com, which runs 100% client-side. I especially look forward to the improvements that being open-source brings, and can't wait to see what improvements and ideas are submitted by the community.TALA 已捆绑到 D2 v0.9.0 中，因此只需安装并使用 --layout=tala 指定即可试用！或者前往 https://play.d2lang.com，它 100% 在客户端运行。我尤其期待开源带来的改进，迫不及待想看到社区提交的改进和想法。

Special thanks to Gavin Nishizawa for substantial broad contributions across TALA, and Júlio César Batista for his work on hierarchy algorithms and more. It was so fun getting to work on such interesting stuff with you guys.特别感谢 Gavin Nishizawa 对 TALA 做出的广泛而重大的贡献，以及 Júlio César Batista 在层次算法等方面的工作。能和大家一起研究这么有趣的东西真是太有意思了。

Batch 1: Comparisons第一批：比较

Fulcro RAD architectureFulcro RAD 架构

D2 source ↓D2 源码 ↓

Fulcro RAD architecture rendered with TALA — **TALA**Open SVG ↗TALA 打开 SVG ↗

Fulcro RAD architecture rendered with Dagre — **Dagre**Open SVG ↗Dagre 打开 SVG ↗

Fulcro RAD architecture rendered with ELK — **ELK**Open SVG ↗ELK 打开 SVG ↗

Select a diagram to enlarge it. Each layout is scaled to fit its panel.选择图表以放大。每种布局都会缩放以适应其面板。

Mocha secure-enclave SoCMocha 安全隔区 SoC

D2 source ↓