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.