vprusso/toqito - Open Source PR Review Scorecard

|toqito> (Theory of Quantum Information Toolkit) is a Python library for research in quantum information theory.

C-Rank Grade: A (Welcoming) - 66/100

External PR Merge Rate: 94%

Response Time: 7d

First Timer Success: 69%

Frequently Asked Questions

Is vprusso/toqito welcoming to first-time open-source contributors?

vprusso/toqito has a recorded first-timer success rate of 68.8%. 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 vprusso/toqito respond to incoming external pull requests in approximately 158.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 66.1 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 66.1 places vprusso/toqito in the A tier.

What is the external contributor pull request merge rate for vprusso/toqito?

The external contributor pull request merge rate for vprusso/toqito is 93.5%, based on public PR activity from non-core contributors.

Are there Good First Issues available in vprusso/toqito?

vprusso/toqito currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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vprusso/toqito

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|toqito> (Theory of Quantum Information Toolkit) is a Python library for research in quantum information theory.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
9.3/10
Patience Score
9.0/10
Nitpick Rate
30%

Highly welcoming maintainers in vprusso/toqito. 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
6 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
93.5%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
68.8%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
12 core
Highly collaborative maintainer core
Diagnostic Health HUD
93.5%
Merge Gauge
68.8%
1st-Timer
Community Vibe58/100

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Active Good First Issues (2)

View on GitHub

toqito/state_props/is_separable.py is the least-covered module in the project, at about 88% with roughly 32 uncovered lines. Everything else is at or near 100%, and the repository overall sits just under 99%. This module matters more than the number suggests: it dispatches across a series of separability criteria, and the uncovered lines are mostly individual criteria branches that never get exercised. A bug in one of those branches would return a wrong separability verdict rather than raising, which is the kind of failure that is easy to miss. What to do Find the uncovered lines and add tests that reach them: uv run pytest --cov-config=.coveragerc --cov=toqito --cov-report=term-missing \ toqito/state_props/tests/test_is_separable.py Use the Missing column to see which lines are unreached. Note the --cov=toqito part: running coverage against a single submodule triggers a numpy "cannot load module more than once" error, so keep it as written. Then, for each uncovered branch, construc

📅 Opened Aug 4, 2026💬 1 comment
Quality: 90/100Contribute

The documentation build executes the Examples code blocks in docstrings (the ```python exec="1" blocks), so a runnable example doubles as documentation and a lightweight smoke test. Several public functions have no Examples section. What to do Add an Examples section with a short, runnable snippet, matching the existing style: ```python exec="1" source="above" result="text" import numpy as np from toqito.states import dicke print(dicke(...)) ``` Good targets (pick one or a few per PR): toqito/measurement_ops/measure.py toqito/states/dicke.py toqito/state_props/has_symmetric_inner_extension.py toqito/state_props/integral_relative_entropy.py the cone builders in toqito/cones/ (e.g. geometric_mean_epi_cone.py) Verifying The example runs during the docs build: uv sync --group docs cd docs && uv run mkdocs build Confirm the snippet runs without error and the printed output is sensible. Looking at an existing function's Examples section (e.g. toqito/channels/dephasing.py) is the easiest

📅 Opened Jul 25, 2026💬 1 comment
Quality: 100/100Contribute
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Contributor Compatibility & Review Speed Analysis for vprusso/toqito

When evaluating whether to contribute to vprusso/toqito, 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 vprusso/toqito acknowledge new external contributions in approximately 6 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 93.5% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to vprusso/toqito

01

Is vprusso/toqito welcoming to first-time open-source contributors?

vprusso/toqito has a recorded first-timer success rate of 68.8%. 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 ~6 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 66.1 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 66.1 places vprusso/toqito in the Welcoming tier.

04

What is the external contributor pull request merge rate for vprusso/toqito?

The external pull request merge rate is 93.5%. 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 vprusso/toqito?

Yes, vprusso/toqito currently has 2 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 vprusso/toqito 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.