kraina-ai / quackosm
QuackOSM: an open-source Python and CLI tool for reading OpenStreetMap PBF files using DuckDB
github.com/kraina-ai/quackosmIndexed at 42a5411Up to date with upstream
About this codebase
82 files and 317 symbols in 4 modules, led by Python (36 files) and Dockerfile (1).
Built from the index
Code health
This codebase scores 6.2 out of 10 for code health, which we rate fair. It also scores maintainability 6.5 and static performance 9.2 out of 10. The three are scored separately and never blended into one number. Risk is concentrated, as it usually is: 3 of 82 files are git hotspots, and they average 3.6 — which is where the fixes pay off most.
Do next
1 thing worth doing this quarter.
Worth planning
Break up convert_pbf_to_parquet (CCN 26, 155 lines)
quackosm/pbf_file_reader.py:550
convert_pbf_to_parquet nests its control flow deeply, and part of it is duplicated, so splitting it also removes a copy; 7 files import it, changed 3 times in 90 days.
- gain
- up to +0.2 health on this file(inferred)
- finding
- Nested complexity
- size
- CCN 26, 155 lines, nests 6 deep
- severity
- high
Medium effort, worth a check
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- line coverage
- Unknown, no report
Small effortReview the 69 proposed decisions
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- proposed
- 69
- accepted
- 0
Medium effort
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[](https://repowise.dev/repo/kraina-ai/quackosm?src=badge_card)How kraina-ai/quackosm works
QuackOSM: an open-source Python and CLI tool for reading OpenStreetMap PBF files using DuckDB This page is a map of the kraina-ai/quackosm repository, written primarily in Python, rebuilt from the source each time it is indexed. Repowise parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the architectural decisions into documentation you can read here or query through MCP.
The codebase has 82 files and 317 symbols in 4 modules, led by Python, Dockerfile and JavaScript. Code health is 6.2 out of 10, rated fair.
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