{
  "schema_version": "2.0",
  "slug": "hidai25-eval-view",
  "name": "EvalView",
  "agent_url": "https://evalview.com",
  "category": "Frameworks & Eval",
  "run_id": "run-r4-v2-hidai25-eval-view-2026-08-27",
  "run_at": "2026-08-27T00:31:35.485Z",
  "editor": "Hlido Editor",
  "editorial_method": "public-surface-tier-1+editorial-narrative-v2",
  "methodology_version": "2026.05",
  "methodology_url": "/methodology/public-surface-tier-1/",
  "score": 70,
  "tier": "STEADY",
  "laddoo_score": 70,
  "confidence": "medium",
  "hlido_opinion": {
    "headline": "An Apache-2.0 regression-testing framework for multi-step agents — \"pytest for AI agents\" — that gates changes instead of only charting them, but is still pre-1.0 with a small community.",
    "body": "EvalView's framing is the most useful thing about it: the category is full of tracing dashboards that tell you what happened after a regression shipped, and EvalView positions itself as the gate that stops the change instead. Its own comparison pages make that argument explicitly against LangSmith, Langfuse, Braintrust and DeepEval — regression gating rather than monitoring, trajectory and tool-path diffs, golden baselines for tool-calling agents. The feature list is substantive for a testing framework: YAML test definitions, weighted scoring across tool use, output and sequence, LLM-as-judge with custom prompts, sequence matching in exact/subsequence/unordered modes, JSON-schema output validation, and explicit hallucination and safety detection. It claims 9+ framework integrations (LangGraph, CrewAI, OpenAI, Anthropic, AutoGen, Dify, LangServe, Ollama, Claude Code), runs locally, and is 100% open source under Apache 2.0 — which for a security-sensitive testing tool that sees your prompts and traces is the right default. The honest caveat is maturity, and the surface states it plainly rather than hiding it: v0.8.1 Public Beta, 130 GitHub stars, and the cloud product is a waitlist, not a product. A testing framework's value depends on the community that finds its bugs, and 130 stars is a small one. The auto-generation claims ('generate a suite from a URL or logs', '100+ test variations') are the kind that sound strong and are hardest to verify from a landing page — nothing here demonstrates the quality of a generated suite.",
    "voice": "Hlido Editor",
    "as_of": "2026-08-27",
    "editor_signature_pending": true
  },
  "tier_rationale": "STEADY (70), at the floor of the band. The positioning is genuinely differentiated — regression gating rather than post-hoc dashboards — the evaluator surface is detailed and specific, and Apache 2.0 with local execution is the correct posture for a tool that reads your prompts and traces. Held exactly at the boundary because it is self-declared v0.8.1 Public Beta with 130 stars and a waitlist-only cloud: the design is credible, the adoption that would prove it is not there yet, and the auto-generation claims are undemonstrated on the public surface.",
  "what_it_does_well": [
    "Positions as a regression gate in CI rather than another post-hoc tracing dashboard",
    "Detailed, specific evaluator surface: weighted tool/output/sequence scoring, LLM-as-judge, sequence matching modes, JSON-schema validation",
    "Explicit hallucination and safety detection rather than generic quality scoring",
    "100% open source under Apache 2.0 and runs locally — the right default for a tool that sees your prompts and traces",
    "Claims 9+ framework integrations spanning LangGraph, CrewAI, AutoGen, Dify, LangServe, Ollama and Claude Code",
    "States its own maturity honestly on the landing page (v0.8.1 Public Beta) rather than implying stability"
  ],
  "what_it_fails_at": [
    "Pre-1.0 (v0.8.1 Public Beta) — API and behaviour should be assumed unstable",
    "130 GitHub stars is a small community for a testing framework, where community size is what surfaces the bugs",
    "The cloud product is a waitlist, not a shipped tier — no managed option today",
    "Auto-generation claims (\"suite from a URL or logs\", \"100+ test variations\") are asserted with no demonstrated output quality",
    "Its competitor comparisons are vendor-authored, as all such pages are"
  ],
  "best_for": [
    "Teams that want agent regressions blocked in CI rather than discovered in a dashboard afterwards",
    "Security-sensitive environments that need evaluation to run locally on their own infrastructure",
    "Tool-calling agents where trajectory and tool-order correctness matter as much as final output",
    "Early adopters comfortable with a pre-1.0 dependency"
  ],
  "not_recommended_for": [
    "Teams needing a managed, supported evaluation platform today — the cloud tier is a waitlist",
    "Production-critical pipelines that cannot absorb pre-1.0 API churn",
    "Buyers who weight ecosystem maturity and community size heavily"
  ],
  "red_flags": [],
  "compared_to": [
    {
      "slug": "langfuse",
      "verdict_diff": "Langfuse is a mature, widely adopted observability and evaluation platform with hosted and self-hosted options. EvalView is a pre-1.0 local-first framework that gates changes in CI. Langfuse for production observability at scale; EvalView if the specific need is a regression gate and you accept beta maturity.",
      "preferred_for_axis": "ci-regression-gating-vs-production-observability"
    },
    {
      "slug": "braintrust",
      "verdict_diff": "Braintrust is a commercial eval platform with managed infrastructure. EvalView is Apache-2.0 and runs locally with no managed tier available yet. Braintrust for a supported product; EvalView when local execution and open licensing are hard requirements.",
      "preferred_for_axis": "open-source-local-vs-commercial-managed"
    }
  ],
  "evidence_urls": [
    {
      "claim": "Open-source testing framework for multi-step agents, positioned to catch hallucinations, regressions and cost spikes before production",
      "source": "https://evalview.com ('The complete open-source testing framework for multi-step agents. Catch hallucinations, regressions, and cost spikes before production.')",
      "tested_at": "2026-08-27",
      "verified": true
    },
    {
      "claim": "Self-declared v0.8.1 Public Beta with 130 GitHub stars and a cloud waitlist",
      "source": "https://evalview.com ('v0.8.1 Public Beta'; 'GitHub 130'; 'EvalView Cloud is coming soon — Join Waitlist')",
      "tested_at": "2026-08-27",
      "verified": true
    },
    {
      "claim": "Apache 2.0, security-first local execution, positioned against tracing-only tools",
      "source": "https://evalview.com ('100% Open Source (Apache 2.0)'; 'Security-first (run locally)'; 'Why EvalView vs Tracing-Only Tools?')",
      "tested_at": "2026-08-27",
      "verified": true
    },
    {
      "claim": "Evaluator surface: YAML tests, weighted scoring, LLM-as-judge, sequence matching, schema validation, hallucination and safety detection",
      "source": "https://evalview.com ('YAML-based test definitions'; 'Weighted scoring (tool, output, sequence)'; 'LLM-as-judge with custom prompts'; 'Sequence matching (exact/subsequence/unordered)'; 'Hallucination & safety detection')",
      "tested_at": "2026-08-27",
      "verified": true
    }
  ],
  "agent_relevance": {
    "has_api": false,
    "has_cli": true,
    "has_mcp": false,
    "has_webhook": false,
    "has_sdk": true,
    "behavioral_testable": true,
    "agent_integration_path": "Installed with pip and driven by a CLI (`evalview run`) over YAML test definitions, wired into CI to gate agent changes. It integrates against 9+ agent frameworks as the system under test rather than exposing itself as a tool an agent calls. The consumer is your pipeline, not your agent.",
    "agent_friendly_score": 7
  },
  "marking_signal": {
    "not_applicable": true,
    "checked_at": "2026-08-27",
    "note": "A developer testing framework; it evaluates agent output rather than publishing synthetic content, so output-marking obligations do not apply to it."
  },
  "checklist": [
    {
      "id": "homepage_loads",
      "pass": true,
      "required": true,
      "tested_at": "2026-08-27"
    },
    {
      "id": "primary_value_prop",
      "pass": true,
      "required": true,
      "evidence": "'pytest for AI agents' — 'The complete open-source testing framework for multi-step agents.'",
      "tested_at": "2026-08-27"
    },
    {
      "id": "cta_present",
      "pass": true,
      "required": true,
      "evidence": "'pip install evalview' / 'Join Cloud Waitlist'",
      "tested_at": "2026-08-27"
    },
    {
      "id": "pricing_or_access",
      "pass": true,
      "required": true,
      "evidence": "Open source and free to install (Apache 2.0, 'pip install evalview'); the Cloud tier is an unpriced waitlist",
      "tested_at": "2026-08-27"
    },
    {
      "id": "maturity_disclosed",
      "pass": true,
      "required": true,
      "evidence": "Vendor states 'v0.8.1 Public Beta' on the landing page",
      "tested_at": "2026-08-27"
    }
  ],
  "evidence_images": {
    "run_id": "run-cbd02731404034a9-evalview-com",
    "base": "https://images.hlido.eu/reviews/hidai25-eval-view/run-cbd02731404034a9-evalview-com",
    "files": [
      "home.png"
    ],
    "urls": [
      "https://images.hlido.eu/reviews/hidai25-eval-view/run-cbd02731404034a9-evalview-com/home.png"
    ]
  },
  "pricing_facts": {
    "schema": "pricing-facts/1",
    "model": [
      "open-source"
    ],
    "free_tier": true,
    "pricing_disclosed": {
      "pass": true,
      "evidence": "Open source and free to install (Apache 2.0, 'pip install evalview'); the Cloud tier is an unpriced waitlist",
      "tested_at": "2026-08-27"
    },
    "last_verified": "2026-08-27",
    "basis": "Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page.",
    "derived_at": "2026-08-27"
  }
}