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Guides

Practical guides for using Stickler effectively, from choosing comparators to running evaluations at scale.


Comparators

Choose the right comparison algorithm for each field type: exact matching, numeric tolerance, fuzzy text, semantic similarity, and more.

Evaluation

Customize evaluation behavior with thresholds, clipping, aggregation, and the evaluator engine.

Use Cases

Real-world patterns for document extraction, OCR evaluation, ML model output comparison, and ETL validation.

Best Practices

Tips, tricks, and optimization strategies for getting the most out of Stickler in production.