86
/ 100
Excellent work. The main thing left to polish is a reproducible setup.
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
Top fixes
Highest-impact changes first, ranked by point weight
- 1Tests18pt
Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.
- 2CI/CD14pt
Add a lint step to catch style issues automatically.
- 3CI/CD14pt
Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.
- 4CI/CD14pt
Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.
Working through the fixes? Let every push regrade itself.
The free GitHub App rescans this repo on every push and posts the grade as a commit check, so the score climbs without coming back to rescan by hand.
Scorecard
Every check, grouped by category and sorted worst-first
Documentation
94
Contributing guide is detailed and thorough.
README documents how to install the project.
README is present.
Licensed under Apache-2.0.
Engineering
85
Lockfile present (examples/NumSharp.Interop.pythonnet.Examples/requirements.txt). Installs are reproducible.
Test files detected (benchmark/scripts/tests).
CI is configured (.github/workflows/build-and-release.yml).
.NET formatting configured (.editorconfig).
Issue or PR templates present.
Project health
100
Dependency manifest found (SciSharp.NumSharp.sln).
Repository has a description.
Actively maintained (pushed within the last month).
.gitignore present.
Repository health signals
Activity, community, and responsiveness at scan time
Activity
- 45 / 661Commits (30d / 90d)
- 205Forks
- 8Releaseslatest 1mo ago
Community
- 62% - FairCommunity health
- 1 bus factorlowauthor own >50% of commits
- 1,481Watchers
Responsiveness
- 2hMedian issue response
- <1hMedian PR merge time
- 57Open issues
Repository files27 root entries
- .agents
- .claude
- .githubGood: CI is configured (.github/workflows/build-and-release.yml).Good: Issue or PR templates present.
- benchmarkGood: Test files detected (benchmark/scripts/tests).
- coverage
- docs
- examplesGood: Lockfile present (examples/NumSharp.Interop.pythonnet.Examples/requirements.txt). Installs are reproducible.Good: Security policy present.
- refs
- src
- test
- tools
- .editorconfigGood: .NET formatting configured (.editorconfig).
- .git-blame-ignore-revs
- .gitattributes
- .gitignoreGood: .gitignore present.
- .gitmodules
- AGENTS.md
- ARCHITECTURE.md
- CODE_OF_CONDUCT.mdGood: Code of conduct present.
- CONTRIBUTING.mdGood: 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.
- Directory.Build.props
- global.json
- LICENSEGood: Licensed under Apache-2.0.
- Open.snk
- README.mdGood: 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.slnGood: Dependency manifest found (SciSharp.NumSharp.sln).
- SciSharp.NumSharp.sln.DotSettings
Add this badge to your README
It updates automatically each time the repo is re-graded.
[](https://www.repo-grade.com/report/scisharp/numsharp)