scisharp/numsharp
Grade a repo

0

/ 100

GradeB

A well-known project done right. Strong docs and solid engineering throughout.

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Documentation94
Engineering76
Health100
C#1,475Apache-2.0today

Documentation

94

Contributing guide5pt77

Contributing guide is detailed and thorough.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Engineering

76

Reproducibility6pt0

No dependency lockfile found (−70 pts).

→ Enable and commit packages.lock.json so NuGet restores are repeatable.

Tests18pt80

Test files detected (test).

CI/CD14pt85

CI is configured (.github/workflows/build-and-release.yml).

Linting and formatting5pt100

.NET formatting configured (.editorconfig).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

Dependency manifest found (SciSharp.NumSharp.sln).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • -
    Commits (30d / 90d)
  • 204
    Forks
  • 12
    Releaseslatest 3mo ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 1,475
    Watchers

Responsiveness

  • 2h
    Median issue response
  • <1h
    Median PR merge time
  • 105
    Open issues
Repository files22 root entries
  • .agents
  • .claude
  • .github
    Good: CI is configured (.github/workflows/build-and-release.yml).
    Good: Issue or PR templates present.
  • benchmark
  • docs
  • examples
  • scripts
  • src
  • test
    Good: Test files detected (test).
  • .editorconfig
    Good: .NET formatting configured (.editorconfig).
  • .git-blame-ignore-revs
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • AGENTS.md
  • ARCHITECTURE.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Issue: Contributing guide lacks a setup section (−12 pts).Fix: Show new contributors how to get a local dev environment running.
    Issue: Contributing guide lacks a code style section (−8 pts).Fix: Describe your linting/formatting rules and how to run them.
    Good: Contributing guide explains how to run tests.
    Issue: Contributing guide lacks a PR workflow section (−8 pts).Fix: Explain how to fork, branch, and open a pull request so contributors know what to expect.
    Good: Contributing guide includes code examples.
  • LICENSE
    Good: Licensed under Apache-2.0.
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Good: README includes status badges.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • SciSharp.NumSharp.sln
    Good: Dependency manifest found (SciSharp.NumSharp.sln).
  • SciSharp.NumSharp.sln.DotSettings