Alternatives to HoneyHive
AI evaluation, testing, and observability platform for LLM apps.
HoneyHive ranks #5 of 8 in AI evaluation platforms, with an Alt Score of 93. It is proprietary, freemium from Free and available on the web. 13 of 13 checklist rows are verified against a public source.
HoneyHive is an AI evaluation and observability platform for testing, tracing, and monitoring LLM applications, with datasets, LLM-as-judge evaluators, and human review.
Engineering teams building LLM-powered agents and applications who need to trace, evaluate, and monitor them from development through production, spanning individual developers on a free tier up to regulated enterprises requiring dedicated or self-hosted deployments.
An OpenTelemetry-based tracing and observability platform paired with an evaluation suite: prompt playground and versioning, dataset curation from production traces, Python/LLM/human evaluators, online (production) monitoring with alerts, A/B experiment tagging, and CI regression gating via GitHub Actions.
You instrument your app with HoneyHive's Python or TypeScript SDK (built on OpenTelemetry, with auto-instrumentation for 50+ providers/frameworks) to send traces to HoneyHive's cloud or a self-hosted deployment; traces feed datasets and evaluators, and results surface in dashboards, experiments, and CI checks that gate releases on quality metrics.
Why people leave HoneyHive
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Ranked alternatives
Ordered by Alt Score. Click any score to see the breakdown.
Opik is an open-source LLM evaluation platform from Comet for tracing, evaluating, and monitoring LLM applications, with datasets, LLM-as-judge metrics, and a prompt playground.
Langfuse is an open-source LLM engineering platform providing tracing, prompt management, evaluations, datasets, and analytics for LLM applications; self-hostable or cloud.
Phoenix is an open-source observability and evaluation library from Arize AI for tracing, evaluating, and troubleshooting LLM applications, built on OpenTelemetry.
Braintrust is an evaluation and observability platform for AI products, with datasets, LLM-as-judge scorers, prompt playground, and production logging.
LangSmith is a platform for debugging, testing, evaluating, and monitoring LLM applications, with tracing, datasets, and LLM-as-judge evaluations.
Weave is the Weights & Biases toolkit for tracking, evaluating, and monitoring LLM applications, with tracing, scorers, and experiment comparison.
Feature comparison
Rows come from the AI evaluation platforms checklist (17 rows). Human-verified cells only. ? means the value has not been verified.
| AI evaluation platforms checklist | HoneyHive | Comet Opik | Langfuse | Arize Phoenix | Braintrust | LangSmith |
|---|---|---|---|---|---|---|
| Pricing model | ||||||
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| License | ||||||
| Platforms | ||||||
| Open source | ||||||
| Self-hostable | ||||||
| Tracing / observability | ||||||
| Prompt playground & versioning | ||||||
| Dataset management | ||||||
| LLM-as-judge evals | ||||||
| Human annotation / review | ||||||
| Online (production) monitoring | ||||||
| A/B experiments | ||||||
| CI / regression testing | ||||||
| Cost & token tracking | ||||||
| Framework-agnostic SDK | ||||||
| Free tier |
Every fact and feature listed for HoneyHive is verified against its own pages. Each alternative is sourced on its own page.
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Pricing model Freemium verified 2026-07-17
Only two tiers are published: a free self-serve 'Developer' tier and a custom-quote 'Enterprise' tier (no self-serve paid price is disclosed).
Developer Free No credit card required ... Enterprise Let's chat Ideal for large organizations
https://www.honeyhive.ai/pricing -
Starts at Free verified 2026-07-17
Cheapest published tier is the free Developer plan; the only paid tier (Enterprise) is custom-priced/contact sales with no public price.
Developer Free No credit card required Get started 10K events per month Up to 5 users Single workspace 30d data retention
https://www.honeyhive.ai/pricing -
Platforms Web verified 2026-07-17
HoneyHive is accessed as a hosted web application; integration happens via Python/TypeScript SDKs and a CLI, not native desktop/mobile apps.
Open the HoneyHive application. Go to app.us.honeyhive.ai.
https://docs.honeyhive.ai/v2/setup/managed.md -
Status active verified 2026-07-17
pushed_at": "2026-07-15T16:34:25Z", "archived": false" — Official Python SDK repo shows active commits within the last 2 days as of research date (2026-07-17).
https://api.github.com/repos/honeyhiveai/python-sdk -
License Proprietary verified 2026-07-17
The HoneyHive platform is closed-source SaaS (no public platform repo; self-hosted deployments are still HoneyHive-managed). Only the client SDKs/CLI are open source: the Python SDK's pyproject.toml d
Self-hosted deployments are managed by HoneyHive. Contact us to get started.
https://docs.honeyhive.ai/v2/setup/self-hosted.md -
Open source No verified 2026-07-17
No public source repo exists for the HoneyHive platform itself (honeyhiveai GitHub org only hosts SDKs/CLI/integrations); self-hosting is a HoneyHive-managed, sales-gated Enterprise deployment, not an
Self-hosted deployments are managed by HoneyHive. Contact us to get started.
https://docs.honeyhive.ai/v2/setup/self-hosted.md -
Self-hostable Yes verified 2026-07-17
HoneyHive offers self-hosted deployments for organizations with strict privacy, security, or compliance requirements. Both the Control Plane and Data Plane are deployed in your environment, giving you
https://docs.honeyhive.ai/v2/setup/self-hosted.md -
Tracing / observability Yes verified 2026-07-17
HoneyHive tracing captures every step of your AI application, from LLM requests and tool calls to agent handoffs, in a hierarchical execution view you can debug in the dashboard.
https://docs.honeyhive.ai/v2/tracing/introduction.md -
Prompt playground & versioning Yes verified 2026-07-17
Create, test, version, and manage prompts in the HoneyHive Playground. Iterate on templates, compare models, and deploy prompt versions to your projects.
https://docs.honeyhive.ai/v2/prompts/overview.md -
Dataset management Yes verified 2026-07-17
A dataset in HoneyHive is a structured collection of datapoints. Think of it as a table where each row represents a specific scenario, interaction, or piece of information relevant to your AI applicat
https://docs.honeyhive.ai/v2/datasets/introduction.md -
LLM-as-judge evals Yes verified 2026-07-17
LLM evaluators use large language models to evaluate the quality of AI-generated responses based on custom criteria. They're ideal for qualitative evaluations like coherence, relevance, faithfulness,
https://docs.honeyhive.ai/v2/evaluators/llm.md -
Human annotation / review Yes verified 2026-07-17
Human evaluators enable domain experts to manually assess AI outputs. Unlike Python or LLM evaluators that run automatically, human evaluators create annotation fields that team members fill in during
https://docs.honeyhive.ai/v2/evaluators/human.md -
Online (production) monitoring Yes verified 2026-07-17
The HoneyHive monitoring dashboard aggregates production traces, evaluations, and user feedback so you can track cost, latency, and quality in one place.
https://docs.honeyhive.ai/v2/monitoring/overview.md -
A/B experiments Yes verified 2026-07-17
Tag HoneyHive traces with experiment IDs and variant names to analyze A/B tests, compare prompt or model changes, and measure impact in production.
https://docs.honeyhive.ai/v2/tracing/online-experimentation.md -
CI / regression testing Yes verified 2026-07-17
Running evaluations in CI means every pull request gets a quality gate: if a code change degrades a metric beyond your threshold, the build fails before the change ships.
https://docs.honeyhive.ai/v2/evaluation/ci-regression-detection.md -
Cost & token tracking Yes verified 2026-07-17
Track cost, latency, token usage, and evaluator scores in HoneyHive's monitoring dashboard to detect failures and quality drift in production.
https://docs.honeyhive.ai/v2/monitoring/overview.md -
Framework-agnostic SDK Yes verified 2026-07-17
Framework Agnostic Native support for LangChain, CrewAI, Google ADK, AWS Strands, and more.
https://docs.honeyhive.ai/v2/introduction/what-is-hhai.md -
Free tier Yes verified 2026-07-17
Developer Free No credit card required Get started 10K events per month Up to 5 users Single workspace 30d data retention Full observability and evaluation suite
https://www.honeyhive.ai/pricing
FAQ
Yes. Arize Phoenix, Braintrust and LangSmith have a free tier or are fully free. Free-tier limits in the comparison table are verified and dated.
Comet Opik, Langfuse and Arize Phoenix — every license claim links its source.