Comparison
eval-view vs langevals
Verdict
Pick eval-view if eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and; pick langevals if langEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect.
Markdown twin · eval-view alternatives · langevals alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | eval-view | langevals |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 18, 2026 · github_public_v1 | Archived (209d since push) As of Sep 13, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- eval-view
- Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI
- langevals
- Provides a platform for evaluating and benchmarking LLM models using various evaluators
Stars
- eval-view
- 134
- langevals
- 72
Forks
- eval-view
- 24
- langevals
- 10
Open issues
- eval-view
- 2
- langevals
- 0
Language
- eval-view
- Python
- langevals
- -
Adopt for
- eval-view
- Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and
- langevals
- LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease.
Persona
- eval-view
- -
- langevals
- -
Runtime
- eval-view
- -
- langevals
- -
License
- eval-view
- Apache-2.0
- langevals
- -
Last pushed
- eval-view
- Sep 5, 2026
- langevals
- Feb 15, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- langevals
- Evaluation & Observability
Trust and health
Maintenance
- eval-view
- Active (82%)
- langevals
- Archived (8%)
Days since push
- eval-view
- 13d
- langevals
- 209d
Archived on GitHub
- eval-view
- No
- langevals
- Yes
Open issues (now)
- eval-view
- 2
- langevals
- 0
Stars delta
- eval-view
- +8 (30d)
- langevals
- 0 (30d)
Open issues delta
- eval-view
- -1 (30d)
- langevals
- -18 (30d)
Owner type
- eval-view
- User
- langevals
- Organization
Full report
- eval-view
- Trust report
- langevals
- Trust report
Choose eval-view if…
- Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents.
- Also covers AI Agents.
- eval-view ships Docker support for self-hosted deployment.
- When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic.
When NOT to use eval-view
- If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic.
- When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes.
- If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag.
- If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this.
Choose langevals if…
- Tags unique to langevals: evaluation, guardrails, llm, openai.
- When you need a singular point of access to multiple LLM evaluation tools
- Leaner open-issue backlog (0).
When NOT to use langevals
- If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option
- When needing to customize evaluation processes extensively beyond what the provided standard interface allows
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hidai25/eval-view) · observed Sep 20, 2026
- GitHub forks (hidai25/eval-view) · observed Sep 20, 2026
- Last push (hidai25/eval-view) · observed Sep 5, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (langwatch/langevals) · observed Sep 20, 2026
- GitHub forks (langwatch/langevals) · observed Sep 20, 2026
- Last push (langwatch/langevals) · observed Feb 15, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: eval-view 134 · langevals 72 (synced Sep 20, 2026).
Common questions
- What is the difference between eval-view and langevals?
- eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. langevals: Provides a platform for evaluating and benchmarking LLM models using various evaluators. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over langevals?
- Choose eval-view over langevals when Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents; Also covers AI Agents; eval-view ships Docker support for self-hosted deployment; When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic.
- When should I choose langevals over eval-view?
- Choose langevals over eval-view when Tags unique to langevals: evaluation, guardrails, llm, openai; When you need a singular point of access to multiple LLM evaluation tools; Leaner open-issue backlog (0).
- When should I avoid eval-view?
- If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this.
- When should I avoid langevals?
- If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option When needing to customize evaluation processes extensively beyond what the provided standard interface allows
- Is eval-view or langevals more popular on GitHub?
- eval-view has more GitHub stars (134 vs 72). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and langevals open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to eval-view or langevals?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and langevals alternatives (eval-view markdown twin, langevals markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, eval-view or langevals?
- eval-view: Active. langevals: Archived. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for eval-view and langevals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; langevals trust report.