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bevyengine/bevy

A refreshingly simple data-driven game engine built in Rust

Healthy

Healthy across all four use cases

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

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

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No blocking repository-level signals were found; deployment review is still required.

  • Scorecard: dangerous CI workflow (0/10)
  • Last commit today
  • 57+ active contributors
  • Distributed ownership (top contributor 10% of recent commits)
  • Apache-2.0 licensed
  • CI configured
  • Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

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Repository brief

Repo brief: bevyengine/bevy

Generated by RepoPilot · document generated 2026-09-15 · concise human review Evidence snapshot · analyzed 2026-09-15T03:45:09.083Z · commit 4f7cbf18c599

Verdict

Healthy — Healthy across all four use cases

  • Last commit today
  • 57+ active contributors
  • Distributed ownership (top contributor 10% of recent commits)
  • Apache-2.0 licensed
  • 2 more receipts on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

Bevy is a data-driven game engine written in Rust that provides a complete 2D and 3D feature set built around Entity Component System (ECS) architecture. It prioritizes simplicity for newcomers while offering flexibility for power users, with the core capability to build games that run fast with parallelizable app logic. Monorepo structure with workspace members in crates/* containing Bevy's official crates, UI/compile-fail tests in crates/bevy_derive/compile_fail, crates/bevy_ecs/compile_fail, and crates/bevy_reflect/compile_fail. Mobile and no_std examples in examples/mobile and examples/no_std/*, benchmarks in benches/, tools in tools/*, and error documentation in…

Start here

Open these first:

  • src/lib.rs — Root module that exports all public APIs and defines the engine's primary abstraction layer for game developers.
  • Cargo.toml — Workspace configuration defining the monorepo structure with all official crates organized under crates/ directory.
  • CONTRIBUTING.md — Contributor guidelines establishing development practices, code standards, and expectations for pull requests.
  • README.md — Project overview explaining Bevy's philosophy as a data-driven ECS-based engine and its 3-month release cadence.
  • _release-content/migration_guides.md — Central index for versioned migration guides essential for developers upgrading between breaking releases.

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.

Clone the repository: git clone https://github.com/bevyengine/bevy.git && cd bevy. Verify Rust is installed (MSRV 1.96.0+): rustc --version. Use Cargo to build and run examples: cargo build or `cargo run --example…

Daily commands:

After cloning and verifying Rust version (1.96.0+), run cargo build --release for optimized builds. Run a specific example: cargo run --example 3d_camera (inferred from examples pattern). Run tests: cargo test. Fu…

…shortened for this brief.

Key cautions & unknowns

  • Scorecard: dangerous CI workflow (0/10)
  • Bevy targets Rust edition 2024, which may require newer-than-normal toolchains. MSRV (1.96.0) is very recent; ensure rustc --version meets this before building. Workspace members in crates/bevy_derive/compile_fail,…
  • 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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