IIT-EnergySystemModels/openTEPES - Open Source PR Review Scorecard

Open Generation, Storage, and Transmission Operation and Expansion Planning Model with RES and ESS (openTEPES)

C-Rank Grade: A (Welcoming) - 64/100

External PR Merge Rate: 98%

Response Time: 6d

First Timer Success: 100%

Frequently Asked Questions

Is IIT-EnergySystemModels/openTEPES welcoming to first-time open-source contributors?

IIT-EnergySystemModels/openTEPES has a recorded first-timer success rate of 100.0%. 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 IIT-EnergySystemModels/openTEPES respond to incoming external pull requests in approximately 136.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 63.8 C-Rankâ„¢ 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 63.8 places IIT-EnergySystemModels/openTEPES in the A tier.

What is the external contributor pull request merge rate for IIT-EnergySystemModels/openTEPES?

The external contributor pull request merge rate for IIT-EnergySystemModels/openTEPES is 98.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in IIT-EnergySystemModels/openTEPES?

IIT-EnergySystemModels/openTEPES does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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IIT-EnergySystemModels

IIT-EnergySystemModels/openTEPES

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Open Generation, Storage, and Transmission Operation and Expansion Planning Model with RES and ESS (openTEPES)

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AI Maintainer Review Guidelines

Review Persona

Strict Architecture Gatekeeper

Warmth Score
6.7/10
Patience Score
7.6/10
Nitpick Rate
40%

Strict review standards in IIT-EnergySystemModels/openTEPES. Ensure PR scope matches issue requirements closely before requesting review.

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
5 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
98.0%
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
2 core
Small core review team
Diagnostic Health HUD
98.0%
Merge Gauge
100.0%
1st-Timer
Community Vibe69/100

Embed C-Rank Badge

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for IIT-EnergySystemModels/openTEPES.

View all good first issues directly on GitHub

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Contributor Community Vibe Feedback

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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
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Contributor Compatibility & Review Speed Analysis for IIT-EnergySystemModels/openTEPES

When evaluating whether to contribute to IIT-EnergySystemModels/openTEPES, 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 IIT-EnergySystemModels/openTEPES acknowledge new external contributions in approximately 5 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 98.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to IIT-EnergySystemModels/openTEPES

01

Is IIT-EnergySystemModels/openTEPES welcoming to first-time open-source contributors?

IIT-EnergySystemModels/openTEPES has a recorded first-timer success rate of 100.0%. 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 ~5 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 63.8 C-Rankâ„¢ score represent?

The C-Rankâ„¢ 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 63.8 places IIT-EnergySystemModels/openTEPES in the Welcoming tier.

04

What is the external contributor pull request merge rate for IIT-EnergySystemModels/openTEPES?

The external pull request merge rate is 98.0%. 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 IIT-EnergySystemModels/openTEPES?

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

GetMerged C-Rankâ„¢ Indexing Standard

All metrics displayed for IIT-EnergySystemModels/openTEPES 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.