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RazrFalcon/cargo-bloat

Find out what takes most of the space in your executable.

Mixed

Stale — last commit 2y ago

MixedDependency

last commit was 2y ago; test evidence incomplete…

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

last commit was 2y ago; dependency CVE scan unavailable

  • Stale — last commit 2y ago
  • Single-maintainer risk — top contributor 80% of recent commits
  • 19 active contributors
  • MIT licensed
  • CI configured

What would improve this?

  • Use as dependency Mixed to Healthy if: 1 commit in the last 365 days

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: RazrFalcon/cargo-bloat

Generated by RepoPilot · document generated 2026-09-16 · concise human review Evidence snapshot · analyzed 2026-09-16T10:58:27.968Z · commit 69ccabda2b16

Verdict

Mixed — Stale — last commit 2y ago

  • 19 active contributors
  • MIT licensed
  • CI configured

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

What it is

cargo-bloat is a Rust CLI tool that analyzes compiled binaries (ELF, Mach-O, PE) to identify which functions and crates consume the most disk space in the .text section. It provides granular per-function or per-crate size breakdowns via a formatted table, helping developers optimize binary bloat without instrumentation overhead. Monolithic CLI binary: src/main.rs is the entry point, src/process_crate handles core analysis logic, src/crate_name.rs resolves symbol metadata, and src/table.rs formats tabular output. All logic is single-crate with no module subdivision; dependencies handle binary parsing (pdb for PDB, binfarce for generic binary manipulation, json for processing intermediate…

Start here

Open these first:

  • src/main.rs — Entry point that orchestrates CLI argument parsing, binary format detection, and analysis invocation—every contributor must…
  • src/crate_name.rs — Core symbol extraction and demangling logic that parses binary metadata and maps symbols to crates—essential for the…
  • src/table.rs — Output formatting and display logic that renders results in human-readable tables—critical for UX and result presentation.
  • Cargo.toml — Defines all external dependencies (memmap2, pdb, binfarce, regex) that enable multi-format binary analysis—architectural…

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

git clone https://github.com/RazrFalcon/cargo-bloat.git
cd cargo-bloat
cargo build --release
./target/release/cargo-bloat --help
# Or install directly:
cargo install cargo-bloat

Daily commands:

After cargo install cargo-bloat, run it as a cargo subcommand on any Rust project: cargo bloat --release (analyzes target/release binary), cargo bloat --release --crates (groups by crate), `cargo bloat --release -…

…shortened for this brief.

Key cautions & unknowns

  • Stale — last commit 2y ago
  • Single-maintainer risk — top contributor 80% of recent commits
  • No environment variables required. Binary format parsing relies on binfarce and pdb crates, which may fail silently on malformed binaries (returns '[Unknown]' crate as fallback). The regex-filter feature must be…
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.


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