Java Inference Tornado toolkit: High performance LLM inference & serving for the JVM on GPUs
C-Rank Grade: D (Risky) - 8/100
External PR Merge Rate: -
Response Time: -
First Timer Success: -
beehive-lab/jitllm has a recorded first-timer success rate of 0.0%. Repositories ranked D typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in beehive-lab/jitllm 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 7.5 places beehive-lab/jitllm in the D tier.
The external contributor pull request merge rate for beehive-lab/jitllm is 0.0%, based on public PR activity from non-core contributors.
beehive-lab/jitllm currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
Active maintainer team in beehive-lab/jitllm welcoming community pull requests and bug fixes.
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.
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Historical health & responsiveness evolution
External PR acceptance
First PR success rate
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90% receive response in
Maintainer review activity heatmap & prime window prediction
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Detected: UTC
Maintainers are most responsive around 10:00 UTC (10:00 UTC in your timezone). Recommended submission window is Wednesday - Friday from 13:00 to 17:00 UTC (13:00 - 17:00 UTC local).
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~16 hours (81% approval). Large PRs (>500 lines) take ~115 hours (29% approval). Keep your diff compact for rapid review.
Description The langchain4j-gpu-llama3 module currently exposes classes from external dependencies through its public methods. Some exposure is required by LangChain4j’s model contracts: public ChatResponse doChat(ChatRequest request) public void doChat( ChatRequest request, StreamingChatResponseHandler handler ) These types come from langchain4j-core: ChatRequest ChatResponse StreamingChatResponseHandler This exposure is intentional and cannot be removed without departing from the LangChain4j model interfaces. The integration also exposes GPULlama implementation types: public Model getModel() public Sampler getSampler() These types come from the gpu-llama3 dependency: org.beehive.gpullama3.model.Model org.beehive.gpullama3.inference.sampler.Sampler Revapi reports all these classes as: java.class.externalClassExposedInAPI The current version handles this with targeted exceptions in langchain4j-gpu-llama3/revapi.json. This is appropriate for a non-breaking update, but it highlight
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When evaluating whether to contribute to beehive-lab/jitllm, 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 beehive-lab/jitllm acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 0.0% were successfully merged into the primary branch.
beehive-lab/jitllm has a recorded first-timer success rate of 0.0%. Repositories ranked Risky typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~-. 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 7.5 places beehive-lab/jitllm in the Risky tier.
The external pull request merge rate is 0.0%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, beehive-lab/jitllm 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 beehive-lab/jitllm 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.