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metadata
title: VynFi Accounting Network Explorer
emoji: πŸ”—
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: 1.39.0
python_version: '3.11'
app_file: app.py
pinned: true
license: apache-2.0
short_description: Interactive ISO 21378 account-class flow graph (v5.9.0)
tags:
  - vynfi
  - accounting
  - graph
  - iso-21378
  - synthetic-data
  - financial-network

πŸ”— VynFi Accounting Network Explorer

Interactive view of the v5.9.0 Method-A accounting network published in VynFi/vynfi-journal-entries-1m, aggregated to ISO 21378 Level-2 account classes (~30 nodes).

What you can do

  • Filter the underlying 61 656 line-level edges by business process (P2P / O2C / R2R / H2R / A2R), is_fraud, is_anomaly, minimum edge amount, and top-N.
  • Inspect any class node to see total flow, fraud %, and the top in/out class pairs.
  • Drill in to the Level-3 sub-class breakdown (A.A.A β€” Operating Cash, A.A.B β€” Petty Cash, …).
  • Toggle force-directed vs hierarchical layout.

Method A vs Cartesian

In v5.9.0 the JE-network defaults to Method A from Ivertowski 2024: exactly one edge per 2-line journal entry, confidence = 1.0. This avoids the Cartesian explosion (225 M edges on 1 M JEs) that the legacy cartesian method produces, and gives a clean topology for graph-ML training.

Tech

Streamlit + streamlit-agraph (vis-network) Β· pandas/pyarrow Β· loads parquet directly from the HF dataset on cold-start, then caches in-memory.

Source

License

Apache-2.0.