Examples of PyMC models, including a library of Jupyter notebooks.
C-Rank Grade: B (Solid) - 45/100
External PR Merge Rate: 80%
Response Time: <1h
First Timer Success: -
pymc-devs/pymc-examples has a recorded first-timer success rate of 0.0%. Repositories ranked B typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in pymc-devs/pymc-examples 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.
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 44.6 places pymc-devs/pymc-examples in the B tier.
The external contributor pull request merge rate for pymc-devs/pymc-examples is 80.0%, based on public PR activity from non-core contributors.
pymc-devs/pymc-examples currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
Collaborative maintainer environment in pymc-devs/pymc-examples. Reviews community pull requests with focus on project quality.
Discussions in pymc-devs/pymc-examples focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.
Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/pymc-devs/pymc-examples?utm_source=github&utm_medium=badge)
External PR acceptance
First PR success rate
50% receive response in
90% receive response in
Maintainer review activity heatmap & prime window prediction
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Detected: UTC
Maintainers are most responsive around 00:00 UTC (00:00 UTC in your timezone). Recommended submission window is Wednesday - Friday from 00:00 to 04:00 UTC (00:00 - 04:00 UTC local).
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~4 hours (96% approval). Large PRs (>500 lines) take ~0 hours (36% approval). Keep your diff compact for rapid review.
Arviz v1 is going to break everything for sure, but there might be small details that will stop working due to pymc v6/pytensor v3. This issue is a tracker for checking that everything works post-release. Introductory pymc_overview glm_linear api_quickstart Library Fundamentals dimensionality pymc_pytensor data_container How To posterior_predictive model_comparison lkj missing_data_imputation blackbox_external_likelihood_numpy copula_estimation debugging hypothesis_testing marginalizing_models model_builder profiling spline updating_priors wrapping_jax_function Generalized Linear Models glm_binomial_regression glm_discrete_choice_models glm_hierarchical_binomial_model glm_missing_values_in_covariates glm_model_selection glm_negative_binomial_regression glm_ordinal_features glm_ordinal_regression glm_out_of_sample_predictions glm_poisson_regression glm_robust_with_outlier_detection glm_robust glm_rolling_regression glm_truncated_censored_regressi
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When evaluating whether to contribute to pymc-devs/pymc-examples, 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 pymc-devs/pymc-examples 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.
pymc-devs/pymc-examples has a recorded first-timer success rate of 0.0%. Repositories ranked Solid typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~<1 hour. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
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 44.6 places pymc-devs/pymc-examples in the Solid tier.
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.
Yes, pymc-devs/pymc-examples currently has 1 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for pymc-devs/pymc-examples 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.