AcademySoftwareFoundation/rawtoaces - Open Source PR Review Scorecard

RAW to ACES Utility

C-Rank Grade: A (Welcoming) - 65/100

External PR Merge Rate: 95%

Response Time: -

First Timer Success: 67%

Frequently Asked Questions

Is AcademySoftwareFoundation/rawtoaces welcoming to first-time open-source contributors?

AcademySoftwareFoundation/rawtoaces has a recorded first-timer success rate of 66.7%. Repositories ranked A 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 AcademySoftwareFoundation/rawtoaces respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 65.3 C-Rank™ score (A 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 65.3 places AcademySoftwareFoundation/rawtoaces in the A tier.

What is the external contributor pull request merge rate for AcademySoftwareFoundation/rawtoaces?

The external contributor pull request merge rate for AcademySoftwareFoundation/rawtoaces is 95.5%, based on public PR activity from non-core contributors.

Are there Good First Issues available in AcademySoftwareFoundation/rawtoaces?

AcademySoftwareFoundation/rawtoaces currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

AcademySoftwareFoundation
AcademySoftwareFoundation/rawtoacesA•Welcoming194
GitHub
Back to Explorer
AcademySoftwareFoundation

AcademySoftwareFoundation/rawtoaces

194
InactiveA•Welcoming(65/100)C++

RAW to ACES Utility

GitHub
Compare••
Jump to:

AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.1/10
Patience Score
8.4/10
Nitpick Rate
30%

Highly welcoming maintainers in AcademySoftwareFoundation/rawtoaces. Prompt code reviews with positive guidance for new contributors.

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
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
95.5%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
66.7%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
6 core
Highly collaborative maintainer core
Diagnostic Health HUD
95.5%
Merge Gauge
66.7%
1st-Timer
Community Vibe58/100

Embed C-Rank Badge

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

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

Active Good First Issues (3)

View on GitHub

Summary tests/testIDT.cpp embeds large numeric table literals next to tests that already load rawtoaces_data JSON under DATA_PATH. That duplicates on-disk data, bloats the file (thousands of lines), and is hard to review. This work replaces those patterns with lighter assertions: spot-checks for loaded fixtures, and fingerprints for transformation outputs. Background (for newcomers) These tests exercise IDT-related loading and math. The intended reader is someone picking up a day-sized task (for example during ASWF Dev Days) who may not have touched this suite before. The goal is to preserve regression coverage while making testIDT.cpp easier to maintain—without adopting snapshot-testing tooling. Where to look tests/testIDT.cpp — large double / table literals interleaved with OIIO_CHECK_* assertions. Fixture root: DATA_PATH → ../_deps/rawtoaces_data-src/data/ (camera, CMF, and related JSON). Search for big brace-initialized arrays and loops comparing every row to a literal. Sug

📅 Opened May 9, 2026💬 2 comments
Quality: 30/100Contribute

Summary Prefer non-throwing std::filesystem overloads (those taking std::error_code) instead of overloads that throw std::filesystem::filesystem_error. Then remove the try/catch around input existence checks in ImageConverter::process_image, mapping errors to existing Status / last_error_message behaviour. More broadly, apply noexcept where it is correct and consistent with the project’s style—especially on helpers that cannot throw after this migration. Background (for newcomers) The comment near process_image mentions catching filesystem exceptions (e.g. on Windows). The C++ standard library allows querying filesystem operations with an error_code instead of exceptions. This issue is about error handling style: avoid exception-based control flow for expected filesystem failures where possible, keep user-visible errors aligned with current enums/messages, and document any platform nuance. Where to look src/rawtoaces_util/image_converter.cpp — process_image try/catch around std:

📅 Opened May 9, 2026💬 2 comments
Quality: 30/100Contribute

Summary XYZ_to_color_temperature interpolates in mired space (using robertson_mired_table), converts the result to Kelvin via mired_to_kelvin, clamps, and returns Kelvin. Downstream code often immediately converts that Kelvin value back to mired with kelvin_to_mired (for example when weighting matrices). That is an extra round-trip that may be unnecessary or lossy from a numerical/design standpoint. Background (for newcomers) Correlated color temperature (CCT) appears both as Kelvin and as mired (micro reciprocal Kelvin, (10^6/\mathrm{K})) in this codebase. Helpers live in src/rawtoaces_core/rawtoaces_core.cpp: kelvin_to_mired, mired_to_kelvin, and XYZ_to_color_temperature. Some call sites take XYZ → CCT (Kelvin) → mired again within the same workflow. This issue asks for a design cleanup (and tests as appropriate): clarify whether the Kelvin return is the right API, whether some paths should stay in mired until later, or whether the duplication is intentional and should be documen

📅 Opened May 9, 2026💬 0 comments
Quality: 30/100Contribute
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 AcademySoftwareFoundation/rawtoaces

When evaluating whether to contribute to AcademySoftwareFoundation/rawtoaces, 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 AcademySoftwareFoundation/rawtoaces acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 95.5% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to AcademySoftwareFoundation/rawtoaces

01

Is AcademySoftwareFoundation/rawtoaces welcoming to first-time open-source contributors?

AcademySoftwareFoundation/rawtoaces has a recorded first-timer success rate of 66.7%. Repositories ranked Welcoming 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 65.3 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 65.3 places AcademySoftwareFoundation/rawtoaces in the Welcoming tier.

04

What is the external contributor pull request merge rate for AcademySoftwareFoundation/rawtoaces?

The external pull request merge rate is 95.5%. 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 AcademySoftwareFoundation/rawtoaces?

Yes, AcademySoftwareFoundation/rawtoaces currently has 1 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for AcademySoftwareFoundation/rawtoaces 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.