tbeu/matio - Open Source PR Review Scorecard

MATLAB MAT File I/O Library with support for MATLAB Class Object System

C-Rank Grade: B (Solid) - 51/100

External PR Merge Rate: 58%

Response Time: 3d

First Timer Success: 50%

Frequently Asked Questions

Is tbeu/matio welcoming to first-time open-source contributors?

tbeu/matio has a recorded first-timer success rate of 50.0%. Repositories ranked B typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in tbeu/matio respond to incoming external pull requests in approximately 60.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 51.4 C-Rank™ score (B Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 51.4 places tbeu/matio in the B tier.

What is the external contributor pull request merge rate for tbeu/matio?

The external contributor pull request merge rate for tbeu/matio is 58.3%, based on public PR activity from non-core contributors.

Are there Good First Issues available in tbeu/matio?

tbeu/matio does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

tbeu
tbeu/matioB•Solid402
GitHub
Back to Explorer
tbeu

tbeu/matio

402
InactiveB•Solid(51/100)Low Sample (<20 PRs)C

MATLAB MAT File I/O Library with support for MATLAB Class Object System

GitHub
Compare••
Jump to:

AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.5/10
Patience Score
8.2/10
Nitpick Rate
20%

Collaborative maintainer environment in tbeu/matio. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in tbeu/matio focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
2 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
58.3%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
50.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
4 core
Small core review team
Diagnostic Health HUD
58.3%
Merge Gauge
50.0%
1st-Timer
Community Vibe38/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for tbeu/matio
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/tbeu/matio)](https://getmerged.abhishekco.de/tbeu/matio?utm_source=github&utm_medium=badge)

Active Good First Issues (1)

View on GitHub

Appending a NULL sentinel to a range of C strings might be a common pattern in C, but it has significant disadvantages. A missing sentinel can result in out-of-bounds access, and determining the size of the range requires scanning it. Modern C++ and Rust interfaces generally represent ranges using a pointer and size instead. This is especially relevant when interfacing matio with C++ or Rust, where requiring a sentinel makes interoperability unnecessarily cumbersome. I therefore propose to undeprecate Mat_VarCreateStruct, or even provide interfaces that accept sized ranges directly. I would even go further and refactor the interface to something like that: matvar_t * Mat_VarCreateStruct(const char *name, size_t nname, int rank, const size_t *dims, const char *const *fields, size_t nfields)

📅 Opened Sep 23, 2026💬 2 comments
Quality: 90/100Contribute
Looking for more C beginner tasks?Explore C GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for tbeu/matio

When evaluating whether to contribute to tbeu/matio, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of tbeu/matio acknowledge new external contributions in approximately 2 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 58.3% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to tbeu/matio

01

Is tbeu/matio welcoming to first-time open-source contributors?

tbeu/matio has a recorded first-timer success rate of 50.0%. Repositories ranked Solid typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~2 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 51.4 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 51.4 places tbeu/matio in the Solid tier.

04

What is the external contributor pull request merge rate for tbeu/matio?

The external pull request merge rate is 58.3%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in tbeu/matio?

tbeu/matio does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for tbeu/matio are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.