Polyglot structural-analysis platform: extract dependency graphs, visualize coupling, track architectural drift.
Project description
code-split
Structural-analysis tool for Rust, Python, JavaScript and TypeScript codebases. Built AI-agent-friendly first — finds where a project has structural problems and hands an actionable shortlist to a human or an AI agent for the actual refactor.
Status: pre-alpha. APIs and output shapes may change without notice. Pin a specific version.
Offline & private
code-split always runs entirely on your machine. It makes no network calls, sends no telemetry or analytics, and never uploads your code or analysis results anywhere. Generated HTML reports are self-contained — no CDN, no external requests, no tracking.
What it finds
- Files that grew too complex and should be split. Per-file cyclomatic / cognitive / Halstead / MI metrics; flags files above your threshold.
- Strong coupling between files. Computes fan-in / fan-out / HK on the file dependency graph; surfaces the files that everything depends on (or that depend on everything). Third-party libraries are tracked separately as depth-1 external nodes (
fan_out_external), so they never inflate your internal-coupling numbers. - Cyclic dependencies. Detects SCCs in the file graph — including the silent ones the compiler does not catch.
- Files that are just too big. Raw LOC, public surface size per file.
The tool does not refactor for you. It produces a structured, machine-readable list of problem spots and an offline HTML report a human or an LLM can act on.
CI integration
Runs as a linter. Configure thresholds in code-split.toml; the CLI exits non-zero when the codebase breaches them — so a PR that introduces a new cycle, a file above your cognitive budget, or a file above your LOC limit fails the build.
code-split check . \
--threshold file.cognitive=25 --threshold file.loc=800
The linter is the check command — exits non-zero on any cycle or threshold violation, e.g. a PR that introduces a new file-level cycle or a file above your LOC limit (mutual and chain cycle checks are on by default). See docs/CLI.md for all flags.
Full CLI
Written in Rust — fast, memory-safe, single static-ish binary with no runtime dependencies (no Python, no Node, no JVM, no shared libs to install). One file on PATH, done.
Two commands: check (linter — exits non-zero on violations; with --baseline, a relative regression gate) and report (snapshot JSON + offline HTML; with --baseline, a baseline↔current diff). Both accept a directory or an existing .json/.html snapshot as input — analyze once, then run cheap passes over the snapshot. No daemon, no language server, no plugin host required at runtime. Full reference: docs/CLI.md.
HTML report with dynamic diagrams
code-split report writes a single self-contained HTML file with:
- An interactive file dependency graph; third-party libraries appear as depth-1 external nodes in a distinct amber colour with dashed edges.
- Dagre-laid-out graph with pan/zoom and live filtering.
- Sortable table per metric; click a node to open its neighbourhood.
- "Prompt generator" panel that copies a ready-to-paste prompt (one for each principle: ADP, SRP, OCP, LSP, ISP, DIP, DRY, KISS, LoD, MISU, CoI, YAGNI; plus Reduce Complexity, Split Components) — feed the prompt + the selected nodes to your AI agent.
No network, no analytics, no telemetry. Open in any browser, share as a file.
Install
Package pages: crates.io · npm · PyPI · Docker Hub · GHCR
Pick a channel:
# universal — shell installer that drops the prebuilt binary on PATH
curl -fsSL https://github.com/ffedoroff/code-split/releases/latest/download/code-split-installer.sh | sh
# Windows
powershell -ExecutionPolicy ByPass -c "irm https://github.com/ffedoroff/code-split/releases/latest/download/code-split-installer.ps1 | iex"
# Rust (Cargo)
cargo install code-split --version 1.0.0-alpha.1
# Node (npm)
npm install -g code-split
# Python (pip / uv / pipx)
pip install code-split
# Docker (Docker Hub)
docker pull fedoroff/code-split:1.0.0-alpha.1
# Docker (GHCR — no anonymous rate limits)
docker pull ghcr.io/ffedoroff/code-split:1.0.0-alpha.1
All channels ship the same code-split binary built from the same Rust source. Linux (x86_64, aarch64), macOS (x86_64, aarch64), Windows (x86_64).
Quick start
# lint a project — non-zero exit on violations (CI linter)
code-split check ./path/to/project
# analyze and write a snapshot JSON + offline HTML report
code-split report
# → .code-split/{ts}-{git-hash-3}.json + .code-split/{ts}-{git-hash-3}.html
# (override paths via --output.<fmt>.path or [output.<fmt>] in code-split.toml)
# before / after refactor comparison: an HTML diff against a baseline snapshot
code-split report . --baseline .code-split/before.json
Built-in plugins: rust (cargo + syn), python, javascript (also handles TypeScript) — all compiled into the single binary, nothing to install.
Documentation
- CLI — commands, flags, and examples
- Rule reference — rule ids grouped by concern (
CYC/CPX/CPL/SIZ), per-file thresholds (file), what each flags, and how to fix it - Config —
code-split.tomlschema - PRD — product requirements
- DESIGN — technical design
- Principles corpus — Rust / Python / TypeScript principle catalogues used by the prompt generator
License
Apache-2.0.
Project details
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