repowiseim-anishraj/arnio

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im-anishraj / arnio

C++-accelerated data quality toolkit for Python: clean CSVs, profile messy datasets, validate schemas, and work smoothly with pandas.

Python30github.com/im-anishraj/arnio
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Files indexed
67
Symbols
274
Languages
6
Structure
Single

Languages

  • python35.8%
  • yaml26.9%
  • markdown17.9%
  • cpp16.4%
  • makefile1.5%
  • toml1.5%

Explore im-anishraj/arnio

Overview

Files, symbols, languages, packages, git intelligence

Dependency graph

Interactive view of how files import each other

Hotspots

Files with the most churn and co-change risk

Ownership

Bus-factor and per-file maintainer maps

Decisions

Architectural decisions extracted from commits and PRs

Dead code

Unreachable symbols and unused exports

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Module-by-module documentation generated from source

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How im-anishraj/arnio works

C++-accelerated data quality toolkit for Python: clean CSVs, profile messy datasets, validate schemas, and work smoothly with pandas. This page is an auto-generated, always-fresh map of the im-anishraj/arnio repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.

The codebase has 67 source files, 274 symbols, and 6 languages. Git churn analysis flags 8 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 42 tightly-coupled module communities.

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