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psylligent / sglang

SGLang is a high-performance serving framework for large language models and multimodal models.

Python
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github.com/psylligent/sglang·Indexed at 46beacf·2d ago·Up to date with upstream

About this codebase

9,383 files and 127,804 symbols in 15 modules, led by Python (7,017 files) and Rust (575).

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Start reading

  • Knowledge graph9,383 files and how they depend on each other.→
  • Keep ParallelContext.__getattr__ dynamo-traceable and gate helpers inside compiled forwardsDecisionProposed decision, from a pull request.→

Code health

5.9out of 10Fair

This codebase scores 5.9 out of 10 for code health, which we rate fair. It also scores maintainability 6.3 and static performance 9.8 out of 10. The three are scored separately and never blended into one number. Risk is concentrated, as it usually is: 1,446 of 9,383 files are git hotspots, and they average 3.9 — which is where the fixes pay off most.

Full health report →

Do next

1 thing worth doing in the week to Sep 29, the last indexed commit, 1 of them now.

Now

  • Critical

    Clean up what this week's commits left: 27 serious findings in 14 files

    11 commits in the last 7 days added or worsened them, and they are still open. Start with experimental/sgl-router/src/state/kv_events/index.rs, which has 5 critical.

    serious findings
    27
    critical
    8
    files
    14
    Large effort

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    Small effort
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Go deeper

  • OverviewEverything the index found, what changed this week, commits and decisions.→
  • DocumentationModule-by-module documentation, 12,868 pages, 0 written by a model.→
  • ArchitectureDependency graph, layers and third-party dependencies.→
  • Code healthEvery file's score, the findings behind it, tests and refactoring plans.→
  • CommitsEach commit's effect on code health, with agent provenance.→
  • ContributorsWho owns what, and where one person holds most of the knowledge.→
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How psylligent/sglang works

SGLang is a high-performance serving framework for large language models and multimodal models. This page is a map of the psylligent/sglang repository, rebuilt from the source each time it is indexed. Repowise parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the architectural decisions into documentation you can read here or query through MCP.

The codebase has 9,383 files and 127,804 symbols in 15 modules, led by Python, Rust and JavaScript. Code health is 5.9 out of 10, rated fair.

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