Tach lets you visualize the architecture of your Python codebase, and gives you the tools to incrementally improve it. It uses module boundaries to give teams the benefits of microservices without the deployment complexity.

If your code has been getting tangled up as your team and codebase grows, Tach helps you move back in the right direction, incrementally and quickly. You can use Tach to incrementally adopt a "modular monolith" architecture [1], for better local reasoning and smoother feature development.

Since our last Show HN (https://news.ycombinator.com/item?id=41359181) we've shipped support for layers, third party dependencies, visualizations, and more.

Tach is: * Open source (MIT) * completely free * fast (written in Rust) * in use by teams at NVIDIA, PostHog, and more.

One way Tach differs from existing systems that handle this problem (build systems, import linters, etc) is the ability to be incrementally adopted. Also, runtime speed.

If you struggle with dependencies, onboarding new engineers, or a massive codebase, Tach is for you! We built it with developers in mind - with clean integrations into Git, CI/CD, and IDEs, and the performance for it to be effective in any form factor.

[1] https://www.milanjovanovic.tech/blog/what-is-a-modular-monol...