federicodeponte/opendraft - Open Source PR Review Scorecard

Write research paper and literature review drafts with an open-source Python engine that checks citation DOIs against scholarly databases. Export PDF, Word, or LaTeX.

C-Rank Grade: B (Solid) - 60/100

External PR Merge Rate: 80%

Response Time: <1h

First Timer Success: 100%

Frequently Asked Questions

Is federicodeponte/opendraft welcoming to first-time open-source contributors?

federicodeponte/opendraft has a recorded first-timer success rate of 100.0%. 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 federicodeponte/opendraft respond to incoming external pull requests in approximately 0.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 59.7 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 59.7 places federicodeponte/opendraft in the B tier.

What is the external contributor pull request merge rate for federicodeponte/opendraft?

The external contributor pull request merge rate for federicodeponte/opendraft is 80.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in federicodeponte/opendraft?

federicodeponte/opendraft currently has 3 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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federicodeponte/opendraftB•Solid486
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federicodeponte/opendraft

486
Active (30d)B•Solid(60/100)Low Sample (<20 PRs)Capped at B (Bus Factor: 0)Python

Write research paper and literature review drafts with an open-source Python engine that checks citation DOIs against scholarly databases. Export PDF, Word, or LaTeX.

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Active maintainer team in federicodeponte/opendraft welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with repository style conventions
  • •Keep PRs focused and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
<1 hour
⚡ Fast reviewer response

Average Response Latency

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

Merge Efficiency
80.0%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
CRITICAL BUS FACTOR
Single maintainer
No active GitHub maintainers found (may review internally on Gerrit or internal tools)
Diagnostic Health HUD
80.0%
Merge Gauge
100.0%
1st-Timer
Community Vibe92/100

Embed C-Rank Badge

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

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

Active Good First Issues (3)

View on GitHub

Create a reproducible benchmark dataset of 20 diverse research topics for evaluation. What to do: Create data/eval_topics.json with 20 topics Cover diverse domains: CS, medicine, economics, social science, physics, biology Include expected canonical papers for each topic Document evaluation criteria in EVALUATION.md Skills needed: Research background, JSON editing Related: EVALUATION.md

📅 Opened May 31, 2026💬 2 comments
Quality: 80/100Contribute

Build a harness to compare output quality across LLM providers. What to do: Create scripts/eval_cross_model.py Run the same topic across Gemini, OpenAI, and Claude Compare: citation verification rate, generation time, cost Output a markdown comparison table Skills needed: Python, API client experience Related: EVALUATION.md

📅 Opened May 31, 2026💬 4 comments
Quality: 55/100Contribute

Add a regression test that verifies citation accuracy does not degrade between releases. What to do: Create scripts/eval_regression.py Load a fixed set of 5 golden topics from data/eval_topics.json Generate drafts, compare metrics (word count, verified citations, structure quality) Fail CI if any metric degrades >10% Skills needed: Python, basic understanding of the agent pipeline Related: EVALUATION.md

📅 Opened May 31, 2026💬 5 comments
Quality: 80/100Contribute
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Contributor Community Vibe Feedback

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Maintainer helpfulness
Review speed
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Contributor Compatibility & Review Speed Analysis for federicodeponte/opendraft

When evaluating whether to contribute to federicodeponte/opendraft, 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 federicodeponte/opendraft acknowledge new external contributions in approximately <1 hour. Out of all submitted pull requests from non-core authors in the last 180-day window, 80.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to federicodeponte/opendraft

01

Is federicodeponte/opendraft welcoming to first-time open-source contributors?

federicodeponte/opendraft has a recorded first-timer success rate of 100.0%. 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 ~<1 hour. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 59.7 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 59.7 places federicodeponte/opendraft in the Solid tier.

04

What is the external contributor pull request merge rate for federicodeponte/opendraft?

The external pull request merge rate is 80.0%. 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 federicodeponte/opendraft?

Yes, federicodeponte/opendraft currently has 3 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 federicodeponte/opendraft 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.