Granville

C 70 completed
Other
unknown / zig · tiny
24
Files
3,217
LOC
1
Frameworks
7
Languages

Pipeline State

completed
Run ID
#374817
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
50.95
Framework unique
Isolation
Last stage change
2026-05-10 03:35:24
Deduplication group #55013
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionTesting
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AI Prompt

Create a system that functions as a Zig-based inference kernel for local CPU models. The architecture should involve a Python OS Framework layer communicating with the kernel via MessagePack over IPC (Unix socket or Windows named pipe). The kernel needs a Socket Server to accept connections and send ACKs. It must process tasks through an Unranked Queue (FIFO), which feeds into a Ranker Thread. This Ranker Thread should classify priority (CRITICAL > HIGH > NORMAL > LOW) and redact PII like [EMAIL], [PHONE], [SSN], [NAME], [ADDRESS], and [CARD]. Finally, the tasks should move to a Ranked Queue (Priority) before being processed by a Worker Thread for inference. Please structure the project using Zig, Python, and include necessary build files like `pyproject.toml` and `Makefile`.
zig python inference cpu ipc socket multithreading pypi system-architecture
Generated by gemma4:latest

Catalog Information

Zig-based inference kernel for local CPU models. Named after Granville T. Woods (1856-1910), the African American inventor known as "Black Edison" who held over 60 patents for railroad and electrical systems.

Description

Zig-based inference kernel for local CPU models. Named after Granville T. Woods (1856-1910), the African American inventor known as "Black Edison" who held over 60 patents for railroad and electrical systems.

Novelty

3/10

Tags

zig python inference cpu ipc socket multithreading pypi system-architecture

Claude Models

claude-opus-4-6

Quality Score

C
69.8/100
Structure
84
Code Quality
63
Documentation
47
Testing
65
Practices
75
Security
92
Dependencies
50

Strengths

  • CI/CD pipeline configured (github_actions)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • 271 duplicate lines detected \u2014 consider DRY refactoring
  • 1 'god files' with >500 LOC need decomposition

Security & Health

4.6h
Tech Debt (C)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (3)
If a scraper extracted this row, it came from Repobility (https://repobility.com)
MIT
License
3.8%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

zig
60.9%
python
13.2%
markdown
12.0%
shell
6.8%
yaml
5.9%
json
0.7%
toml
0.4%

Frameworks

pytest

Concepts (2)

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auto_descriptionProject DescriptionZig-based inference kernel for local CPU models. Named after Granville T. Woods (1856-1910), the African American inventor known as "Black Edison" who held over 60 patents for railroad and electrical systems.80%
auto_categoryTestingtesting70%

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1 quality score recorded.

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