Comparison
eval-view vs langwatch
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 langwatch if langWatch is a self-hostable platform for evaluating large language models and testing AI agents, supporting TypeScript and Node.js.
Markdown twin · eval-view alternatives · langwatch alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | eval-view | langwatch |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 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 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Sep 18, 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
- langwatch
- The platform for LLM evaluations and AI agent testing
Stars
- eval-view
- 134
- langwatch
- 4.8k
Forks
- eval-view
- 24
- langwatch
- 393
Open issues
- eval-view
- 2
- langwatch
- 1.0k
Language
- eval-view
- Python
- langwatch
- TypeScript
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
- langwatch
- LangWatch is a self-hostable platform for evaluating large language models and testing AI agents, supporting TypeScript and Node.js.
Persona
- eval-view
- -
- langwatch
- -
Runtime
- eval-view
- -
- langwatch
- -
License
- eval-view
- Apache-2.0
- langwatch
- LangWatch is licensed under Apache-2.0, with enterprise modules needing a commercial license for production use.
Last pushed
- eval-view
- Sep 5, 2026
- langwatch
- Sep 18, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- langwatch
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- eval-view
- Active (82%)
- langwatch
- Very active (96%)
Days since push
- eval-view
- 13d
- langwatch
- 0d
Open issues (now)
- eval-view
- 2
- langwatch
- 1.0k
Stars delta
- eval-view
- +8 (30d)
- langwatch
- +1.3k (30d)
Open issues delta
- eval-view
- -1 (30d)
- langwatch
- +225 (30d)
Owner type
- eval-view
- User
- langwatch
- Organization
OSV dependency advisories
- eval-view
- No lockfile (source not queried)
- langwatch
- Published findings
Full report
- eval-view
- Trust report
- langwatch
- Trust report
Choose eval-view if…
- eval-view is primarily Python; langwatch is TypeScript.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, 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 langwatch if…
- langwatch is primarily TypeScript; eval-view is Python.
- Pricing: The core platform is free under Apache-2.0, but enterprise modules require a commercial license for production..
- Requirements: Only Node.js is required for running LangWatch. For production use, refer to the self-hosting documentation..
- Tags unique to langwatch: agent-testing, ai, analytics, datasets.
- When you need a self-hostable solution for evaluating large language models and testing AI agents, especially if you are comfortable with TypeScript and Node.js.
When NOT to use langwatch
- If you prefer a cloud-hosted solution or do not have the capability to self-host a platform.
- If your project strictly requires open-source licensing without any commercial components, as LangWatch's enterprise modules require a commercial license for production use.
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/langwatch) · observed Sep 20, 2026
- GitHub forks (langwatch/langwatch) · observed Sep 20, 2026
- Last push (langwatch/langwatch) · observed Sep 18, 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 on cards: eval-view 134 · langwatch 4.8k (synced Sep 20, 2026).
Common questions
- What is the difference between eval-view and langwatch?
- eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. langwatch: The platform for LLM evaluations and AI agent testing. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over langwatch?
- Choose eval-view over langwatch when eval-view is primarily Python; langwatch is TypeScript; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, 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 langwatch over eval-view?
- Choose langwatch over eval-view when langwatch is primarily TypeScript; eval-view is Python; Pricing: The core platform is free under Apache-2.0, but enterprise modules require a commercial license for production.; Requirements: Only Node.js is required for running LangWatch. For production use, refer to the self-hosting documentation.; Tags unique to langwatch: agent-testing, ai, analytics, datasets; When you need a self-hostable solution for evaluating large language models and testing AI agents, especially if you are comfortable with TypeScript and Node.js.
- 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 langwatch?
- If you prefer a cloud-hosted solution or do not have the capability to self-host a platform. If your project strictly requires open-source licensing without any commercial components, as LangWatch's enterprise modules require a commercial license for production use.
- Is eval-view or langwatch more popular on GitHub?
- langwatch has more GitHub stars (4,814 vs 134). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and langwatch open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, langwatch: Apache-2.0).
- Where can I find alternatives to eval-view or langwatch?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and langwatch alternatives (eval-view markdown twin, langwatch 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 langwatch?
- eval-view: Active. langwatch: Very active. 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 langwatch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; langwatch trust report.