# Alternatives to HoneyHive

HoneyHive is an AI evaluation and observability platform for testing, tracing, and monitoring LLM applications, with datasets, LLM-as-judge evaluators, and human review.

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.

Source: https://altcatalog.com/alternatives/honeyhive/
Category: AI evaluation platforms

## Overview

- **Who it's for**: 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.
- **What you get**: 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.
- **How it works**: 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.

## Profile

- **License**: Proprietary (verified 2026-07-17)
- **Pricing model**: Freemium (verified 2026-07-17)
- **Starts at**: Free (verified 2026-07-17)
- **Platforms**: Web
- **Status**: active (verified 2026-07-17)

## Ranked alternatives

| # | App | Alt Score | Licence | Platforms |
|---|-----|-----------|---------|-----------|
| 1 | [Comet Opik](https://altcatalog.com/alternatives/comet-opik.md) | 100 | Apache-2.0 | Web |
| 2 | [Langfuse](https://altcatalog.com/alternatives/langfuse.md) | 100 | MIT | Web |
| 3 | [Arize Phoenix](https://altcatalog.com/alternatives/arize-phoenix.md) | 96 | Elastic License 2.0 (ELv2) | Web |
| 4 | [Braintrust](https://altcatalog.com/alternatives/braintrust.md) | 96 | Proprietary (platform); MIT (autoevals library) | Web |
| 5 | [LangSmith](https://altcatalog.com/alternatives/langsmith.md) | 93 | Proprietary (platform); MIT (client SDK) | Web |
| 6 | [W&B Weave](https://altcatalog.com/alternatives/wandb-weave.md) | 93 | Apache-2.0 | Web |
| 7 | [Helicone](https://altcatalog.com/alternatives/helicone.md) | 76 | Apache License 2.0 | Web |

Alt Score = Verified coverage (90%) + Visibility (10%). See https://altcatalog.com/how-alt-score-works/

## Feature comparison

Legend: Yes / No / Partial / ? (not verified).

| AI evaluation platforms checklist | HoneyHive | Comet Opik | Langfuse | Arize Phoenix | Braintrust | LangSmith |
|---|---|---|---|---|---|---|
| Pricing model | Freemium | OSS + paid hosting | OSS + paid hosting | Free | Freemium | Freemium |
| Starts at | Free | $19/month (USD) | $29/month (USD) | Free | $249/month | $39/seat/mo |
| License | Proprietary | Apache-2.0 | MIT | Elastic License 2.0 (ELv2) | Proprietary (platform); MIT (autoevals library) | Proprietary (platform); MIT (client SDK) |
| Platforms | Web | Web | Web | Web | Web | Web |
| Open source | No | Yes | Yes | Partial | Partial | No |
| Self-hostable | Yes | Yes | Yes | Yes | Yes | Yes |
| Tracing / observability | Yes | Yes | Yes | Yes | Yes | Yes |
| Prompt playground & versioning | Yes | Yes | Yes | Yes | Yes | Yes |
| Dataset management | Yes | Yes | Yes | Yes | Yes | Yes |
| LLM-as-judge evals | Yes | Yes | Yes | Yes | Yes | Yes |
| Human annotation / review | Yes | Yes | Yes | Yes | Yes | Yes |
| Online (production) monitoring | Yes | Yes | Yes | Yes | Yes | Yes |
| A/B experiments | Yes | Yes | Yes | Yes | Yes | Yes |
| CI / regression testing | Yes | Yes | Yes | Yes | Yes | Yes |
| Cost & token tracking | Yes | Yes | Yes | Yes | Yes | Yes |
| Framework-agnostic SDK | Yes | Yes | Yes | Yes | Yes | Yes |
| Free tier | Yes | Yes | Yes | Yes | Yes | Yes |

## Sources

Sources for HoneyHive. Each alternative is sourced on its own page.

- **Pricing model**: Freemium — <https://www.honeyhive.ai/pricing> (verified 2026-07-17)
  - Note: Only two tiers are published: a free self-serve 'Developer' tier and a custom-quote 'Enterprise' tier (no self-serve paid price is disclosed).
  - Quote: “Developer Free No credit card required ... Enterprise Let's chat Ideal for large organizations”
- **Starts at**: Free — <https://www.honeyhive.ai/pricing> (verified 2026-07-17)
  - Note: Cheapest published tier is the free Developer plan; the only paid tier (Enterprise) is custom-priced/contact sales with no public price.
  - Quote: “Developer Free No credit card required Get started 10K events per month Up to 5 users Single workspace 30d data retention”
- **Platforms**: Web — <https://docs.honeyhive.ai/v2/setup/managed.md> (verified 2026-07-17)
  - Note: HoneyHive is accessed as a hosted web application; integration happens via Python/TypeScript SDKs and a CLI, not native desktop/mobile apps.
  - Quote: “Open the HoneyHive application. Go to app.us.honeyhive.ai.”
- **Status**: active — <https://api.github.com/repos/honeyhiveai/python-sdk> (verified 2026-07-17)
  - Note: 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).
- **License**: Proprietary — <https://docs.honeyhive.ai/v2/setup/self-hosted.md> (verified 2026-07-17)
  - Note: 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
  - Quote: “Self-hosted deployments are managed by HoneyHive. Contact us to get started.”
- **Open source**: No — <https://docs.honeyhive.ai/v2/setup/self-hosted.md> (verified 2026-07-17)
  - Note: 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
  - Quote: “Self-hosted deployments are managed by HoneyHive. Contact us to get started.”
- **Self-hostable**: Yes — <https://docs.honeyhive.ai/v2/setup/self-hosted.md> (verified 2026-07-17)
  - Quote: “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”
- **Tracing / observability**: Yes — <https://docs.honeyhive.ai/v2/tracing/introduction.md> (verified 2026-07-17)
  - Quote: “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.”
- **Prompt playground & versioning**: Yes — <https://docs.honeyhive.ai/v2/prompts/overview.md> (verified 2026-07-17)
  - Quote: “Create, test, version, and manage prompts in the HoneyHive Playground. Iterate on templates, compare models, and deploy prompt versions to your projects.”
- **Dataset management**: Yes — <https://docs.honeyhive.ai/v2/datasets/introduction.md> (verified 2026-07-17)
  - Quote: “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”
- **LLM-as-judge evals**: Yes — <https://docs.honeyhive.ai/v2/evaluators/llm.md> (verified 2026-07-17)
  - Quote: “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, ”
- **Human annotation / review**: Yes — <https://docs.honeyhive.ai/v2/evaluators/human.md> (verified 2026-07-17)
  - Quote: “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”
- **Online (production) monitoring**: Yes — <https://docs.honeyhive.ai/v2/monitoring/overview.md> (verified 2026-07-17)
  - Quote: “The HoneyHive monitoring dashboard aggregates production traces, evaluations, and user feedback so you can track cost, latency, and quality in one place.”
- **A/B experiments**: Yes — <https://docs.honeyhive.ai/v2/tracing/online-experimentation.md> (verified 2026-07-17)
  - Quote: “Tag HoneyHive traces with experiment IDs and variant names to analyze A/B tests, compare prompt or model changes, and measure impact in production.”
- **CI / regression testing**: Yes — <https://docs.honeyhive.ai/v2/evaluation/ci-regression-detection.md> (verified 2026-07-17)
  - Quote: “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.”
- **Cost & token tracking**: Yes — <https://docs.honeyhive.ai/v2/monitoring/overview.md> (verified 2026-07-17)
  - Quote: “Track cost, latency, token usage, and evaluator scores in HoneyHive's monitoring dashboard to detect failures and quality drift in production.”
- **Framework-agnostic SDK**: Yes — <https://docs.honeyhive.ai/v2/introduction/what-is-hhai.md> (verified 2026-07-17)
  - Quote: “Framework Agnostic Native support for LangChain, CrewAI, Google ADK, AWS Strands, and more.”
- **Free tier**: Yes — <https://www.honeyhive.ai/pricing> (verified 2026-07-17)
  - Quote: “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”

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Ranked by verified data, never by who paid. https://altcatalog.com/trust/