How do their growth rates compare?

EvalCore has a month-over-month growth rate of 0%; Katalon has -29.6%.

How does pricing compare?

EvalCore: Free. Free and open source under the Apache-2.0 licence, with $0 cost in CI thanks to offline cassette replay. Install via cargo or prebuilt binaries; no signup, no server and no telemetry. Katalon: Freemium, Free Trial, Paid, Contact for Pricing. Freemium with a free tier for local authoring and execution, plus a 30-day free trial of paid features. Professional is roughly $1,800 per seat per year (around $150 per seat per month) with AI agents, MCP server access, desktop testing, parallel execution and CI/CD integrations. Enterprise is quoted on contract and adds SSO/SAML, SCIM provisioning, RBAC, audit logs, private cloud or on-premises deployment, hybrid licensing and premium support.

What are alternatives to EvalCore and Katalon?

Other tools in related categories include KaneAI, Qase, Arize AI, Applitools Eyes, Mindgard.

EvalCore vs Katalon — Traffic (0 vs 158.09K), Pricing & Verdict

Open AI Tools

EvalCore vs Katalon — Traffic (0 vs 158.09K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	EvalCore	Katalon
Official Domain	evalcore.cc	katalon.com
Pricing Model	Free	Freemium, Free Trial, Paid, Contact for Pricing
Monthly Visits	0 (0)	158.09K (158,090)
MoM Traffic Delta	0 (0%)	-66.44K (-29.6%)
Primary Market & Share	🌐 Global (—)	🇻🇳 Vietnam (18.3%)
Direct Visits / mo	0	87.97K
User Rating	4.8	4.5
Supported Platforms	Website	Website

EvalCore

Snapshot testing for AI behavior — catch regressions offline in CI

Record once, replay forever

A live run captures every model request and response into a local SQLite cassette that CI can replay offline and deterministically at zero cost.

Anything can be a target

Point EvalCore at OpenAI-compatible endpoints, vLLM, Ollama, your own REST APIs, shell commands, or OTel/OpenInference traces — no SDK required.

Scorers that define 'good'

Stack contains, judge-rubric and other scorers in YAML to express exactly what a correct answer looks like for each case.

Regression gates and baselines

Compare against a baseline branch so only real regressions fail, and let the process exit code gate your pull requests.

Strengths & Pros

+Genuinely free and open source under Apache-2.0, with no usage-based pricing
+Deterministic offline replay removes flaky, expensive model calls from CI
+Single dependency-free binary that works regardless of your app's language
+Configuration is plain YAML plus JSONL, so suites are easy to review and version