QuantConnect/Lean - Open Source PR Review Scorecard

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

C-Rank Grade: A (Welcoming) - 62/100

External PR Merge Rate: 63%

Response Time: -

First Timer Success: 45%

Frequently Asked Questions

Is QuantConnect/Lean welcoming to first-time open-source contributors?

QuantConnect/Lean has a recorded first-timer success rate of 45.0%. 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 QuantConnect/Lean 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 61.9 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 61.9 places QuantConnect/Lean in the A tier.

What is the external contributor pull request merge rate for QuantConnect/Lean?

The external contributor pull request merge rate for QuantConnect/Lean is 63.3%, based on public PR activity from non-core contributors.

Are there Good First Issues available in QuantConnect/Lean?

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

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QuantConnect/LeanA•Welcoming21.9k
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QuantConnect/Lean

21,918
Active (30d)A•Welcoming(62/100)C#

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

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AI Maintainer Review Guidelines

Review Persona

Strict Quality Architect

Warmth Score
6.6/10
Patience Score
7.2/10
Nitpick Rate
43%

Rigorous architecture standards (66% critical review signals). Ensure PRs strictly follow guidelines before requesting review in QuantConnect/Lean.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Use conventional commit messages and clean branch names
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
63.3%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
45.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
25 core
Highly collaborative maintainer core
Diagnostic Health HUD
63.3%
Merge Gauge
45.0%
1st-Timer
Community Vibe39/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for QuantConnect/Lean.

View all good first issues directly on GitHub

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.

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Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for QuantConnect/Lean

When evaluating whether to contribute to QuantConnect/Lean, 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 QuantConnect/Lean acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 63.3% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to QuantConnect/Lean

01

Is QuantConnect/Lean welcoming to first-time open-source contributors?

QuantConnect/Lean has a recorded first-timer success rate of 45.0%. 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 61.9 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 61.9 places QuantConnect/Lean in the Welcoming tier.

04

What is the external contributor pull request merge rate for QuantConnect/Lean?

The external pull request merge rate is 63.3%. 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 QuantConnect/Lean?

QuantConnect/Lean 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 QuantConnect/Lean 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.