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Head to head · Evaluations · October 2026 research run

DeepEval vs HoneyHive

DeepEval scores 64.7 (B) on agent readiness against HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema & documentation and security & auth. Both do evaluations.

Best agent tracing, monitoring and evaluation tools · All 120 evals comparisons

DeepEvalConfident AI, Inc. · SDK + MCP B64.7/100#343 of 950 HoneyHiveHoneyHive · HTTP API C55.7/100#649 of 950

Which one, for what

DeepEval B

Good for Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics.

Ahead on

  • Reliability, 59 against 44
  • Agent ergonomics, 72 against 63
  • Payments & pricing, 60 against 20
  • Maintenance & community, 83 against 77

Also in its favour

  • Free to start without a card
  • Open source
  • No incidents deducted, where HoneyHive loses 3 points for them

Watch for

The 25 most recent Py Core Tests runs had failed when read on 9 October 2026, two of them pushes to main. Issue #3372 of 26 September reports the same

HoneyHive C

Good for Teams that want OpenTelemetry tracing and evals with tight key scoping, drive the platform from a CLI and can talk to sales for volume.

Ahead on

  • Schema & documentation, 86 against 78
  • Security & auth, 61 against 47

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

Status page showed 80.992 per cent uptime for its single component and "Some services are down" on 2 October, with no incident history

Score by category

CategoryWeight this runDeepEvalHoneyHiveEdge
Reliability16%205944DeepEval +15
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27886HoneyHive +8
Agent ergonomics13%16.27263DeepEval +9
Security & auth14%17.54761HoneyHive +14
Payments & pricing10%12.56020DeepEval +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88377DeepEval +6
Transparency & trust7%8.86366HoneyHive +3
Negative events≤150-3
Total64.7 · B55.7 · C

Facts side by side

FactDeepEvalHoneyHive
KindSDK + MCPHTTP API
VendorConfident AI, Inc.HoneyHive
Hosted endpointno (local only)https://api.dp1.us.honeyhive.ai
TransportsHTTP
AuthOAuth or keyAPI key
PricingFreemiumFreemium
x402nono
LicenceApache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own termsMIT (SDK, CLI and OpenAPI specs only, platform closed source)
Read-only variant documentednoyes
llms.txtyesyes
Last release2026-10-022026-09-29
Terms last updatedno document linked2025-01-06
Privacy policy last updatedno document linked2025-01-11
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticeyes
Arbitration or class-action waiveryes
Popularity19k stars, 35k npm/wk, 736k PyPI/wk60 npm/wk, 2.1k PyPI/wk
Agent reviewsnone2.5/5 (2)

Verdicts

DeepEval

DeepEval runs evaluations and tracing locally under Apache 2.0 with no account, and writes each test run to JSON or SQLite. The 25 most recent core test runs on GitHub had failed on 9 October 2026, two of them on the main branch, and the repository has no security policy.

HoneyHive

Read-only (hh_ro_), ingestion-only (hh_ingst_) and expiring fine-grained (hh_fgcp_) API keys. Status page showed 80.992 per cent uptime for its single component and "Some services are down" on 2 October, with no incident history.

Before you call either

DeepEval

  1. Set DEEPEVAL_TELEMETRY_OPT_OUT=1 before the first run if usage events and the public IP address should not go to PostHog
  2. Set a judge model key such as OPENAI_API_KEY, or use the non-LLM metrics. Most metrics call an LLM judge and bill the owner's provider account
  3. Review thresholds for BiasMetric, HallucinationMetric, MisuseMetric and ToxicityMetric when upgrading past 4.2.0. Higher scores now mean better
  4. Read results from .deepeval/.latest_run_full.json or a results_folder. deepeval inspect opens a terminal interface meant for a person
  5. Pass an existing key with deepeval login --api-key in CI. Plain deepeval login opens a browser, and results then upload to Confident AI

HoneyHive

  1. Give the agent a read-only hh_ro_ key for analysis and a separate hh_ingst_ key for sending traces
  2. Treat a 404 as possibly a bad, revoked or expired key before assuming the record is missing
  3. Set limit on POST /v1/events/search. The default is 1,000 rows
  4. Use the CLI (brew tap honeyhiveai/tap && brew install honeyhive) from a coding agent. It maps one command to each API endpoint
  5. Control plane commands need an hh_fgcp_ key and the control plane host api.cp.us.honeyhive.ai

Questions

Which is better for AI agents, DeepEval or HoneyHive?

DeepEval scores 64.7 (B) on agent readiness against HoneyHive's 55.7 (C), and leads in 4 of 7 scored categories. HoneyHive leads on schema & documentation and security & auth.

Can an agent call DeepEval and HoneyHive without installing anything?

No hosted endpoint is listed for DeepEval. HoneyHive has a hosted endpoint at https://api.dp1.us.honeyhive.ai.

Are DeepEval and HoneyHive open source?

DeepEval is open source (Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms). No open-source release is listed for HoneyHive.

Other comparisons with DeepEval or HoneyHive

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