| --- |
| title: VynFi Accounting Network Explorer |
| emoji: 🔗 |
| 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 |
| --- |
| |
| # 🔗 VynFi Accounting Network Explorer |
|
|
| Interactive view of the v5.9.0 Method-A accounting network published in |
| [`VynFi/vynfi-journal-entries-1m`](https://huggingface.co/datasets/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 — Operating Cash`, `A.A.B — 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) · pandas/pyarrow · |
| loads parquet directly from the HF dataset on cold-start, then |
| caches in-memory. |
|
|
| ## Source |
|
|
| * App code: [github.com/mivertowski/SyntheticData/tree/main/spaces/accounting-network-explorer](https://github.com/mivertowski/SyntheticData/tree/main/spaces/accounting-network-explorer) |
| * Generation engine: [github.com/mivertowski/SyntheticData](https://github.com/mivertowski/SyntheticData) |
| * Companion paper: [SSRN abstract 6538639](https://ssrn.com/abstract=6538639) |
|
|
| ## License |
|
|
| Apache-2.0. |
|
|
