A Satellite View for Python Code
Details
- External ID
- 46945343
- Source
- HN
- Company
- —
- Product
- A Satellite View for Python Code
- Website domain
- ast-visualizer.com
- Launched
- Feb. 9, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.38207547169811323
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
Hi HN,I built ast-visualizer.com because I wanted a way to visualize the architecture/structure of a Python repo before dived into the code.Most tools tell you what the code does; I wanted to see how it's built.The Problem: Onboarding onto a large codebase is a nightmare. LLMs help with single functions, but they struggle to show you the "God Objects," circular dependencies, or high-complexity hotspots across 50+ files.What it does:Dependency Graph: Visualizes imports and file complexity to find architectural bottlenecks.Radial AST Heatmaps: Maps individual files and color-codes them by Cyclomatic Complexity (McCabe). If a node is red, the section of code is a refactoring candidate.Complexity Dashboard: High-level metrics like nesting depth and maintainability scores as well as files recommended to be refactored.Privacy & Security (The Big One): I know how sensitive source code is. We do not store your code. Files are processed in (RAM) on our servers and discarded immediately after the visualization is generated. No permanent storage, no databases of your source, and zero training on your data.Early Adopter Offer: I’m looking for feedback from the community to improve the UI and parsing. I’ve opened an Early Adopter tier that enables all features (including repo-wide analysis) completely free in exchange for your honest feedback.Let me know: What’s the one thing you wish you could "see" visually when you open a new repository for the first time?
Enrichment
- Theme
- git and repository workflow tools
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- code visualization tool for python
- Manually corrected
- False
Could you build this?
Yes Generating AST diagrams and structural call graphs from Python or JavaScript files leverages standard language parsers (e.g., Python's `ast` module or Babel/Tree-sitter) visualised with libraries like Cytoscape or D3. An AI assistant can easily generate this full web application and parsing pipeline.
Discussion
10 comments analyzed.
Competitors mentioned: tree-sitter (alternative parsing approach), regex/string parsing methods
Concerns raised: Performance issues on lower-end machines (2018 Mac at 10 FPS), Rendering lag with large codebases (hundreds of files), Performance noticeably problematic above 200k LOC, Complexity of normalizing ASTs across multiple languages
Feature requests: React component relationship detection and visualization, JavaScript/HTML/CSS support for frontend codebases, Go language support, Better performance optimization for large projects
Competitors
Other products that read as similar to this one — 168 launches clear the similarity bar, closest 8 shown.
Attention rank: #102 of 169 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 102 days after the earliest competitor.
- RepoReaper · hn · 2026-01-07 · 7 upvotes · similarity 0.50
- CodeLayers · hn · 2026-02-21 · 5 upvotes · similarity 0.49
- Memory Graph · hn · 2026-01-05 · 7 upvotes · similarity 0.47
- Eulix · hn · 2026-09-15 · 5 upvotes · similarity 0.46
- PyViz · ph · 2026-09-19 · 1 upvotes · similarity 0.46
- data-visualizer · github · 2026-09-28 · 14 upvotes · similarity 0.45
- Noodles · hn · 2026-02-24 · 6 upvotes · similarity 0.44
- Anyone interested in a tool helps to explore C++ ASTs · hn · 2026-05-21 · 49 upvotes · similarity 0.43
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a dev tools tool for Sales yet.