datasynth-eval
| Crates.io | datasynth-eval |
| lib.rs | datasynth-eval |
| version | 0.2.1 |
| created_at | 2026-01-20 15:37:44.35956+00 |
| updated_at | 2026-01-24 21:49:37.342494+00 |
| description | Evaluation framework for synthetic financial data quality and coherence |
| homepage | |
| repository | |
| max_upload_size | |
| id | 2056869 |
| size | 563,276 |
Michael Ivertowski (mivertowski)
documentation
README
datasynth-eval
Evaluation framework for synthetic financial data quality and coherence.
Overview
datasynth-eval provides automated quality assessment for generated data:
- Statistical Evaluation: Benford's Law compliance, distribution analysis
- Coherence Checking: Balance verification, document chain integrity
- Intercompany Validation: IC matching and elimination verification
- Uniqueness Analysis: Duplicate detection across datasets
Evaluation Categories
| Category | Description |
|---|---|
| Statistical | Benford's Law, amount distributions, temporal patterns |
| Coherence | Trial balance, subledger reconciliation, FX consistency |
| Intercompany | IC matching rates, elimination completeness |
| Uniqueness | Document ID collisions, duplicate transaction detection |
Usage
use datasynth_eval::{Evaluator, EvaluationConfig};
let evaluator = Evaluator::new(EvaluationConfig::default());
let report = evaluator.evaluate(&generated_data)?;
println!("Benford compliance: {:.2}%", report.benford_score * 100.0);
println!("Balance coherence: {}", report.balance_check.passed);
Evaluation Report
The evaluation produces a comprehensive report including:
- Pass/Fail Status: Overall and per-category
- Scores: Numerical scores for statistical measures
- Warnings: Potential issues that don't fail validation
- Details: Specific findings and recommendations
License
Apache-2.0 - See LICENSE for details.