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rust-ndarray/ndarray

ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

Healthy

Strong maintenance signals

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.

MixedDeploy as-is

Scorecard "Token-Permissions" is 0/10; 6 cyclic import chains — pervasive coupling

  • ⚠Concentrated ownership — top contributor handles 54% of recent commits
  • ✓Last commit 7w ago
  • ✓22+ active contributors
  • ✓Apache-2.0 licensed
  • ✓CI configured
  • ✓Tests present

What would improve this?

  • •Deploy as-is Mixed to Healthy if: bring "Token-Permissions" to ≥3/10 (see scorecard report)

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

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: rust-ndarray/ndarray

Generated by RepoPilot · document generated 2026-09-16 · concise human review Evidence snapshot · analyzed 2026-09-16T16:28:41.988Z · commit bd3ade99c1f6

Verdict

Healthy — Strong maintenance signals

  • Last commit 7w ago
  • 22+ active contributors
  • Apache-2.0 licensed
  • CI configured
  • 1 more receipt 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

ndarray is a Rust library providing n-dimensional arrays (similar to NumPy) with owned arrays, array views, arbitrary-step slicing, and efficient numerical operations. It supports generic element types and optional BLAS acceleration for matrix multiplication, targeting scientific computing and data processing workloads. Single-crate structure with modular organization: src/dimension/ handles axis/shape logic, src/iterators/ provides chunking/lanes/windows, src/impl_* files separate concerns (constructors, ops, views, owned arrays), and src/extension/ wraps pointer utilities. Features compile conditionally (std, serde, rayon, blas, approx).

Start here

Read these in order:

  • src/error.rs — Foundation: doesn't import anything internally and is imported by 9 other files. Read first to learn the vocabulary.
  • src/extension/nonnull.rs — Foundation: imported by 5, no internal dependencies of its own.
  • src/argument_traits.rs — Built on the foundation; imported by 2 downstream files.
  • src/parallel/par.rs — Built on the foundation; imported by 2 downstream files.
  • src/numeric/mod.rs — Layer 2 — application-level code that wires the lower layers together.

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 and enter the repository, then run cargo build to compile the library. To run tests, use cargo test. To enable BLAS support, add --features blas to build commands (requires separate backend configuration per…

Daily commands:

This is a library crate (not a binary). Run cargo test to execute the test suite, or cargo doc --open to build and view API documentation locally. For examples, inspect src/impl_1d.rs and src/impl_2d.rs for concrete…

…shortened for this brief.

Key cautions & unknowns

  • Concentrated ownership — top contributor handles 54% of recent commits
  • BLAS support requires external cblas-sys backend configuration (not included in the crate); the feature flag alone is insufficient. The crate supports no_std via optional std feature, but many methods (geomspace,…
  • 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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