PriorLabs/tabpfn-time-series - Open Source PR Review Scorecard

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

C-Rank Grade: A (Welcoming) - 68/100

External PR Merge Rate: 74%

Response Time: <1h

First Timer Success: 60%

Frequently Asked Questions

Is PriorLabs/tabpfn-time-series welcoming to first-time open-source contributors?

PriorLabs/tabpfn-time-series has a recorded first-timer success rate of 60.0%. 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 PriorLabs/tabpfn-time-series respond to incoming external pull requests in approximately 0.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 67.7 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 67.7 places PriorLabs/tabpfn-time-series in the A tier.

What is the external contributor pull request merge rate for PriorLabs/tabpfn-time-series?

The external contributor pull request merge rate for PriorLabs/tabpfn-time-series is 73.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in PriorLabs/tabpfn-time-series?

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

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PriorLabs/tabpfn-time-series

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Active (30d)A•Welcoming(68/100)Python

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

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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 PriorLabs/tabpfn-time-series 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
73.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
60.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
11 core
Highly collaborative maintainer core
Diagnostic Health HUD
73.8%
Merge Gauge
60.0%
1st-Timer
Community Vibe77/100

Embed C-Rank Badge

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

Active Good First Issues (1)

View on GitHub

test_constant_feature_handling failed with the default 2_6 which is probably not the desired behavior. Need to move the constant feature removal before polynomial features.

📅 Opened Mar 25, 2026💬 1 comment
Quality: 15/100Contribute
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Contributor Compatibility & Review Speed Analysis for PriorLabs/tabpfn-time-series

When evaluating whether to contribute to PriorLabs/tabpfn-time-series, 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 PriorLabs/tabpfn-time-series acknowledge new external contributions in approximately <1 hour. Out of all submitted pull requests from non-core authors in the last 180-day window, 73.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to PriorLabs/tabpfn-time-series

01

Is PriorLabs/tabpfn-time-series welcoming to first-time open-source contributors?

PriorLabs/tabpfn-time-series has a recorded first-timer success rate of 60.0%. 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 ~<1 hour. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 67.7 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 67.7 places PriorLabs/tabpfn-time-series in the Welcoming tier.

04

What is the external contributor pull request merge rate for PriorLabs/tabpfn-time-series?

The external pull request merge rate is 73.8%. 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 PriorLabs/tabpfn-time-series?

Yes, PriorLabs/tabpfn-time-series 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 PriorLabs/tabpfn-time-series 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.