Spark Zk

D 56 completed
Library
monorepo / rust · small
83
Files
18,108
LOC
1
Frameworks
5
Languages

Pipeline State

completed
Run ID
#371799
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
60.67
Framework unique
Isolation
Last stage change
2026-05-10 03:35:28
Deduplication group #48993
Member of a group with 10 similar repo(s) — canonical #57648 view group →
Top concepts (1)
Web Backend
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/

AI Prompt

I need a tool that helps integrate Apache ZooKeeper with Apache Spark. The project structure suggests a monorepo setup using Rust and Python. Can you set up the basic scaffolding for this? I see files for `spark/`, `python/`, and configuration files like `render.yaml`. Please ensure the structure is ready for implementing the integration logic using Rust for core components and Python for scripting, while also handling necessary configuration via TOML or YAML files.
rust python apache-spark zookeeper monorepo tooling integration axum
Generated by gemma4:latest

Catalog Information

The psyberchasers__spark-zk project is a tool for users who want to integrate Apache ZooKeeper with Apache Spark.

Description

This project provides a way to use Apache ZooKeeper with Apache Spark, allowing developers to manage distributed systems and coordinate tasks. However, without more information, it's unclear how this integration works or what specific features are included. The target audience appears to be developers working on large-scale data processing projects.

الوصف

هذا المشروع يوفر طريقة لاستخدام Apache ZooKeeper مع Apache Spark، مما يسمح للمطورين إدارة أنظمة توزيعية وتسجيل المهام. ومع ذلك، فإن عدم وجود معلومات أكثر لا يزال غير واضح كيف يتم هذا التكامل أو ما هي الميزات الرئيسية المضمنة. appears أن الجمهور المستهدف هم المطورون الذين يعملون على مشاريع معالجة البيانات على نطاق واسع.

Novelty

3/10

Tags

distributed-systems task-coordination data-processing large-scale-data apache-zookeeper apache-spark

Claude Models

claude-opus-4.5 claude (unknown version)

Quality Score

D
56.2/100
Structure
44
Code Quality
55
Documentation
50
Testing
40
Practices
68
Security
100
Dependencies
60

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Containerized deployment (Docker)

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No LICENSE file \u2014 legal ambiguity for contributors
  • No CI/CD configuration \u2014 manual testing and deployment
  • 2495 duplicate lines detected \u2014 consider DRY refactoring
  • 4 'god files' with >500 LOC need decomposition

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.1h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (0)
Want this analysis on your repo? https://repobility.com/scan/
Unknown
License
14.6%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

rust
70.3%
python
23.2%
markdown
5.9%
toml
0.4%
yaml
0.2%

Frameworks

Axum

Concepts (1)

Findings curated by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
All rows above produced by Repobility · https://repobility.com
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

View File Metrics

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/96013.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV