GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language
EvalCore records 0 monthly visits with 0% month-over-month growth and Free pricing. Scorecard records 6,344 monthly visits with +8.2% growth and Freemium pricing.

Snapshot testing for AI behavior — catch regressions offline in CI
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | evalcore.cc | scorecard.io |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 (0) | 6.34K (6,344) |
| MoM Traffic Delta | 0 (0%) | +481 (+8.2%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (93.7%) |
| Direct Visits / mo | 0 | 2.47K |
| User Rating | 4.8 | 4.4 |
| Supported Platforms | Website | Website |

Snapshot testing for AI behavior — catch regressions offline in CI
A live run captures every model request and response into a local SQLite cassette that CI can replay offline and deterministically at zero cost.
Point EvalCore at OpenAI-compatible endpoints, vLLM, Ollama, your own REST APIs, shell commands, or OTel/OpenInference traces — no SDK required.
Stack contains, judge-rubric and other scorers in YAML to express exactly what a correct answer looks like for each case.
Compare against a baseline branch so only real regressions fail, and let the process exit code gate your pull requests.

The simulation platform for agent self-improvement
Run your agent through thousands of realistic scenarios and get scored feedback in minutes instead of waiting weeks for expert log review.
Create structured experiments and test ideas quickly in an AI laboratory before committing to a change.
Start from a validated metric library of industry benchmarks, customize proven metrics, or build your own to track what matters.
Create, test and track your best-performing prompts in one place, keeping a history and a single source of truth for the team.
GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language

Track, evaluate, and ship AI models and agents in one connected environment.
Track, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

Attack-led AI security testing and red teaming
Attack-led AI security testing and red teaming

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Free / Open-sourceOpen-source, human-readable UI testing for mobile and web
Free / Open-sourceOpen-source, human-readable UI testing for mobile and web

The collaboration layer for AI engineering teams
The collaboration layer for AI engineering teams

Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises

Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents

Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do