Judgeval
Open source post-building layer for agents with evals and monitoring.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is Judgeval?
Judgeval is an open-source tool that provides a post-training evaluation environment for AI agents, supporting reinforcement learning (RL) and supervised fine-tuning (SFT). It helps in monitoring and improving the performance of trained models through continuous evaluation.
Key differentiator
“Judgeval stands out as an open-source solution specifically designed for evaluating and continuously improving AI agents after their initial training, offering a unique focus on post-building evaluation.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Teams needing a robust evaluation framework for their AI agents post-training
Data science teams focused on improving model performance through iterative testing and monitoring
✕ Not a fit for
Projects requiring real-time feedback during the training phase (Judgeval focuses on post-training)
Applications where continuous monitoring is not critical to the success of the project
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Next step
Get Started with Judgeval
Step-by-step setup guide with code examples and common gotchas.