wger-project / wger
Self hosted FLOSS fitness/workout, nutrition and weight tracker
github.com/wger-project/wgerIndexed at 80d4a98Up to date with upstream
About this codebase
wger is a free workout and fitness manager: it consumes user intent and domain data (workouts, sessions, exercises, ingredients, translations, and fitness/nutrition metadata), runs it through Django-based workflows (models, APIs, background tasks, and UI rendering), and produces persisted fitness records plus shareable/served web interfaces (API responses, pages, and exported/translated content). In practice, a deployed instance is what users operate day-to-day, and it can be self-hosted with `docker compose up -d` in the normal “own your data” fashion.
Written by gpt-5.4-nano from the index
876 files and 4,910 symbols in 4 modules, led by Python (742 files) and Shell (6).
Code health
This codebase scores 7.5 out of 10 for code health, which we rate good. It also scores maintainability 8.9 and static performance 9.9 out of 10. The three are scored separately and never blended into one number. Risk is concentrated, as it usually is: 75 of 876 files are git hotspots, and they average 5.4 — which is where the fixes pay off most.
On the leaderboards:#11 of 44 Python repos
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Nothing stands out in the week to Sep 14, the last indexed commit.
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- OverviewEverything the index found, what changed this week, commits and decisions.
- DocumentationModule-by-module documentation, 850 pages, 52 written by a model.
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[](https://repowise.dev/repo/wger-project/wger?src=badge_card)How wger-project/wger works
Self hosted FLOSS fitness/workout, nutrition and weight tracker This page is a map of the wger-project/wger 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 876 files and 4,910 symbols in 4 modules, led by Python, Shell and Dockerfile. Code health is 7.5 out of 10, rated good.
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