Braintrust vs Habibi

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Braintrust Evaluation	Habibi Evaluation
Tagline	Eval, monitor, and improve AI products end-to-end.	Self-hosted generative engine optimization for tracking brand mentions across ChatGPT, Perplexity, and Gemini
Category	Evaluation	Evaluation
Pricing	Freemium· Free up to 1k events/day; team from $249/mo	Freemium· Self-host free under the Sustainable Use License; deploy via Opsily starting at $20/month for the underlying server (no separate Habibi seat fees). Users bring their own OpenAI, Perplexity, and Google API keys, which are billed separately by those providers.
Model	Platform (any LLM)	GPT-4o, Perplexity Sonar, Gemini (bring-your-own API keys)
Editorial score	8.9 / 10	—
Use cases	evalsmonitoringprompt management	AI answer engine visibility trackingChatGPT brand mention monitoringPerplexity citation trackingGemini share-of-voice reportingCompetitor GEO benchmarkingPage-level citation mappingClient-facing GEO reporting for agenciesGDPR-compliant AI visibility monitoringPrompt-library A/B testing for content changes
Pros	Full eval + observability in one tool Excellent UX Strong dataset/experiment tracking Closed loop dev → prod	Self-hosted with data kept in a local SQLite database, so prompt libraries and competitor lists never leave your infrastructure Flat server-based pricing (from about $20/month via Opsily) instead of per-seat SaaS fees that typically run $99-$579/month Unlimited team seats at no extra cost, which suits agencies managing many client workspaces Multi-sample runs per prompt smooth out LLM non-determinism and give more trustworthy mention-rate numbers Page-level citation tracking shows which specific URLs answer engines actually cite, not just brand-name mentions Covers the three highest-traffic answer engines (ChatGPT, Perplexity, Gemini) in one dashboard EU (Germany) hosting option and bring-your-own-key model make GDPR and data-sovereignty stories straightforward
Cons	Team pricing is steep Smaller than LangSmith ecosystem-wise	You pay separately for OpenAI, Perplexity, and Gemini API usage, and heavy sampling can make those bills non-trivial Requires running and maintaining a server (or paying Opsily to do it), which is more setup than a pure SaaS signup Sustainable Use License is source-available but not true OSI open source, so commercial resale as a service is restricted Coverage is limited to ChatGPT, Perplexity, and Gemini today; Copilot, Claude, and Grok visibility are not first-class GEO is a young discipline and the underlying prompt-sampling methodology can still misrepresent volatile answer surfaces
Website	www.braintrust.dev	opsily.com

Pick Braintrust if

✅ Full eval + observability in one tool
✅ Excellent UX
✅ Strong dataset/experiment tracking
✅ Closed loop dev → prod

Pick Habibi if

✅ Self-hosted with data kept in a local SQLite database, so prompt libraries and competitor lists never leave your infrastructure
✅ Flat server-based pricing (from about $20/month via Opsily) instead of per-seat SaaS fees that typically run $99-$579/month
✅ Unlimited team seats at no extra cost, which suits agencies managing many client workspaces
✅ Multi-sample runs per prompt smooth out LLM non-determinism and give more trustworthy mention-rate numbers

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