Ggplot2 Extended Companion
C 69 completed
Other
containerized / r · small
111
Files
11,945
LOC
0
Frameworks
6
Languages
Pipeline State
completedRun ID
#713336Phase
doneProgress
0%Started
2026-04-15 00:34:07Finished
2026-04-15 00:34:07LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
42.40Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:34Deduplication group #51636
Member of a group with 37 similar repo(s) — canonical #1208548 view group →
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AI Prompt
Create a searchable and filterable companion application for ggplot2 extension packages. I need it to catalogue over 450 packages, displaying metadata like download statistics (7-day, 30-day, 365-day, all-time) and code examples. The app should allow browsing by 19 distinct categories, support dark/light mode toggling, and handle non-CRAN packages by enriching data from their GitHub DESCRIPTION files. It must use a modern UI framework, handle data processing via a targets pipeline, and be containerized using Docker.
r shiny ggplot2 data-visualization web-app docker targets search metadata
Generated by gemma4:latest
Catalog Information
Create a searchable and filterable companion application for ggplot2 extension packages. I need it to catalogue over 450 packages, displaying metadata like download statistics (7-day, 30-day, 365-day, all-time) and code examples. The app should allow browsing by 19 distinct categories, support dark/light mode toggling, and handle non-CRAN packages by enriching data from their GitHub DESCRIPTION files. It must use a modern UI framework, handle data processing via a targets pipeline, and be contai
Tags
r shiny ggplot2 data-visualization web-app docker targets search metadata
Quality Score
C
69.4/100
Structure
73
Code Quality
55
Documentation
55
Testing
85
Practices
74
Security
90
Dependencies
50
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (100% test-to-source ratio)
- Consistent naming conventions (snake_case)
- Good security practices — no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- 1 files with critical complexity need refactoring
- Potential hardcoded secrets in 1 files
- 432 duplicate lines detected — consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Add a linter configuration to enforce code style consistency
- Move hardcoded secrets to environment variables or a secrets manager
Languages
Frameworks
None detected
Symbols
variable11
function3
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