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Arize Phoenix vs Crawl4AI

Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.

A

Arize Phoenix

Open-source LLM observability with tracing, evaluation, and datasets — 8K+ stars

OSSfreemium Trending
8.5K250.0K/w4d ago120
C

Crawl4AI

Open-source web crawler optimized for LLMs and AI agents — 62K+ stars

OSSFree
63.1Ktoday72
MetricArize PhoenixCrawl4AI
GitHub Stars8.5K63.1K
Contributors12072
Last CommitMar 28, 2026Mar 31, 2026
Open Issues50
Licenseopen-sourceopen-source
Pricingfreemiumopen-source
Free TierYesYes
Categorydev-toolsdev-tools
TrendingYesNo

Shared Tags

open-source

Only in Arize Phoenix

observabilitytracingevaluationopentelemetrydebugging

Only in Crawl4AI

web-scrapingcrawlerragmarkdownlocalpython

About Arize Phoenix

Arize Phoenix is an open-source observability platform for LLM applications. It provides tracing for multi-step agent workflows, built-in evaluation with LLM-as-judge and code-based evals, dataset management for experiments, and a visual UI for debugging prompt/response pairs. Phoenix integrates with OpenTelemetry, LangChain, LlamaIndex, and OpenAI, and can run locally or in the cloud.

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About Crawl4AI

Crawl4AI is a free, open-source web crawling and scraping tool optimized for LLMs. Handles JavaScript rendering, generates clean markdown, supports structured data extraction with LLMs, and runs 6x faster than alternatives. Features multi-URL crawling, session management, proxy support, and custom hooks. Fully local with no API keys required.

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