Linear Massiv

D 58 completed
Other
unknown / haskell · small
50
Files
15,294
LOC
0
Frameworks
2
Languages

Pipeline State

completed
Run ID
#947605
Phase
done
Progress
0%
Started
2026-04-15 08:17:48
Finished
2026-04-15 08:17:48
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
45.67
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #49989
Member of a group with 44 similar repo(s) — canonical #1550672 view group →
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.

AI Prompt

I want to build a project focused on linear algebra concepts using Haskell. The repository structure suggests it involves benchmarking and testing, so please set up a project that can handle performance comparisons. I need the core logic implemented in Haskell, and I'd like to include sections for benchmarks, comparison results, and unit tests. Please structure the project using Cabal and ensure there's a clear separation between the main source code, the benchmarking suite, and the reporting mechanism.
haskell linear-algebra benchmarking cabal scientific-computing testing
Generated by gemma4:latest

Catalog Information

I want to build a project focused on linear algebra concepts using Haskell. The repository structure suggests it involves benchmarking and testing, so please set up a project that can handle performance comparisons. I need the core logic implemented in Haskell, and I'd like to include sections for benchmarks, comparison results, and unit tests. Please structure the project using Cabal and ensure there's a clear separation between the main source code, the benchmarking suite, and the reporting me

Tags

haskell linear-algebra benchmarking cabal scientific-computing testing

Quality Score

D
58.4/100
Structure
48
Code Quality
62
Documentation
25
Testing
60
Practices
75
Security
92
Dependencies
60

Strengths

  • Good test coverage (31% test-to-source ratio)
  • Consistent naming conventions (PascalCase)
  • Good security practices — no major issues detected

Weaknesses

  • Missing README file — critical for project understanding
  • No LICENSE file — legal ambiguity for contributors
  • No CI/CD configuration — manual testing and deployment
  • 1220 duplicate lines detected — consider DRY refactoring
  • 3 '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)

Languages

haskell
96.4%
markdown
3.6%

Frameworks

None detected

Quality Timeline

1 quality score recorded.

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