aliyun / simai
github.com/aliyun/simaiIndexed at cef83f9Up to date with upstream
About this codebase
Work moves in a loop: a chosen mode (analytical vs simulation vs flow-only) selects a scenario, the frontend initializes the run, the system layer executes the collective/network models (including NCCL flow modeling paths), and profiling/analysis components turn run outputs into performance measurements and dashboards for follow-on interpretation.
Written by gpt-5.4-nano from the index
340 files and 2,486 symbols in 4 modules, led by Python (159 files) and C++ (135).
Code health
This codebase scores 6.8 out of 10 for code health, which we rate fair. It also scores maintainability 6.7 and static performance 9.8 out of 10. The three are scored separately and never blended into one number.
On the leaderboards:#24 of 44 Python repos
Do next
1 thing worth doing this quarter.
Worth planning
Delete 3 unused symbols and files (43 lines)
Nothing in the graph reaches them, across 3 files; every reader and agent pays to skip them.
- symbols
- 3
- lines
- 43
- safe to delete
- Yes(inferred)
Small effort
Improve what Repowise can see
Add a test coverage report
Without one, Repowise cannot tell tested code from untested code, so every test-related action says “unknown”.
- line coverage
- Unknown, no report
Small effort
Use aliyun/simai in your agent
Point Claude Code, Cursor, Codex or VS Code at this repository. Your agent gets the index this page is built from: cited answers, callers, history and health for any file.
https://api.repowise.dev/mcp/aliyun/simaiOne command, run anywhere. Adds the server to your local Claude Code config.
Docsclaude mcp add --transport http repowise https://api.repowise.dev/mcp/aliyun/simai \ --header "Authorization: Bearer rw_live_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
This repo is public, so anyone with a Repowise account and an API key can connect.
Try asking
- get_overview()
- get_answer("how is simai put together?")
- get_why("why is simai structured this way?")
Prefer local? pip install repowise && repowise init indexes your own checkout, no account needed.
Go deeper
- OverviewEverything the index found, what changed this week, commits and decisions.
- DocumentationModule-by-module documentation, 501 pages, 29 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.
- DecisionsArchitectural decisions mined from commits and pull requests.
- Ask this codebaseSign inGrounded answers over the indexed code.
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https://api.repowise.dev/mcp/aliyun/simaiFor maintainers
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[](https://repowise.dev/repo/aliyun/simai?src=badge_wiki)Code health badge
The repo's health score out of 10, from the latest index.
[](https://repowise.dev/repo/aliyun/simai?src=badge_health)Code health card
A larger card with the score, its change since the last index, and when it was measured. The HTML version follows the reader's light or dark theme.
[](https://repowise.dev/repo/aliyun/simai?src=badge_card)How aliyun/simai works
This page is a map of the aliyun/simai repository, written primarily in Python, 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 340 files and 2,486 symbols in 4 modules, led by Python, C++ and Shell. Code health is 6.8 out of 10, rated fair.
Use the links above to open each view, or connect this repository to your agent for grounded answers inside Claude, Cursor, Codex or VS Code.