Comparison
LLMDebugger vs eval-view
Verdict
Pick LLMDebugger if lLMDebugger offers step-by-step verification of runtime execution for large language models; 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.
Markdown twin · LLMDebugger alternatives · eval-view alternatives
GraphCanon updated Oct 7, 2026
9views this month
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Trust & integrity
| Signal | LLMDebugger | eval-view |
|---|---|---|
| Maintenance | Dormant (756d since push) As of Oct 7, 2026 · github_public_v1 | Active (13d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Oct 7, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- LLMDebugger
- A Large Language Model Debugger verifying runtime execution step by step
- eval-view
- Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI
Stars
- LLMDebugger
- 585
- eval-view
- 134
Forks
- LLMDebugger
- 57
- eval-view
- 24
Open issues
- LLMDebugger
- 5
- eval-view
- 2
Language
- LLMDebugger
- Python
- eval-view
- Python
Adopt for
- LLMDebugger
- LLMDebugger offers step-by-step verification of runtime execution for large language models.
- 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
Persona
- LLMDebugger
- -
- eval-view
- -
Runtime
- LLMDebugger
- -
- eval-view
- -
License
- LLMDebugger
- The LLMDebugger is distributed under the Apache-2.0 license.
- eval-view
- Apache-2.0
Last pushed
- LLMDebugger
- Sep 10, 2024
- eval-view
- Sep 5, 2026
Categories
- LLMDebugger
- Developer Tools, Evaluation & Observability
- eval-view
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- LLMDebugger
- Dormant (18%)
- eval-view
- Active (82%)
Days since push
- LLMDebugger
- 756d
- eval-view
- 13d
Open issues (now)
- LLMDebugger
- 5
- eval-view
- 2
Stars delta
- LLMDebugger
- +1 (30d)
- eval-view
- +8 (30d)
Open issues delta
- LLMDebugger
- 0 (30d)
- eval-view
- -1 (30d)
OSV dependency advisories
- LLMDebugger
- No published findings from this source as of 2026-07-11
- eval-view
- No lockfile (source not queried)
Full report
- LLMDebugger
- Trust report
- eval-view
- Trust report
Shared compatibility
- Python · LLMDebugger: Python runtime · eval-view: Python runtime
Choose LLMDebugger if…
- Pricing: Free for use, based on its open-source nature with an Apache-2.0 license..
- Tags unique to LLMDebugger: acl'24, llm debugging, python debugger for ai, runtime verification.
- Also covers Developer Tools.
- When detailed step-by-step inspection of the runtime behavior of large language models is required, LLMDebugger can provide precise insights into each execution phase.
When NOT to use LLMDebugger
- Avoid using if you are only interested in higher-level performance metrics rather than the intricate details of runtime behavior, as LLMDebugger emphasizes step-by-step execution.
- Not recommended for teams lacking experience with Python or specific to this tool's installation and usage workflow that involves setting up a Conda environment.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FloridSleeves/LLMDebugger) · observed Oct 7, 2026
- GitHub forks (FloridSleeves/LLMDebugger) · observed Oct 7, 2026
- Last push (FloridSleeves/LLMDebugger) · observed Sep 10, 2024
- License file (Apache-2.0) · observed Oct 7, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: LLMDebugger 585 · eval-view 134 (synced Oct 7, 2026).
Common questions
- What is the difference between LLMDebugger and eval-view?
- LLMDebugger: A Large Language Model Debugger verifying runtime execution step by step. eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLMDebugger over eval-view?
- Choose LLMDebugger over eval-view when Pricing: Free for use, based on its open-source nature with an Apache-2.0 license.; Tags unique to LLMDebugger: acl'24, llm debugging, python debugger for ai, runtime verification; Also covers Developer Tools; When detailed step-by-step inspection of the runtime behavior of large language models is required, LLMDebugger can provide precise insights into each execution phase.
- When should I choose eval-view over LLMDebugger?
- Choose eval-view over LLMDebugger 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 avoid LLMDebugger?
- Avoid using if you are only interested in higher-level performance metrics rather than the intricate details of runtime behavior, as LLMDebugger emphasizes step-by-step execution. Not recommended for teams lacking experience with Python or specific to this tool's installation and usage workflow that involves setting up a Conda environment.
- 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.
- Is LLMDebugger or eval-view more popular on GitHub?
- LLMDebugger has more GitHub stars (585 vs 134). Stars measure visibility, not whether either tool fits your constraints.
- Are LLMDebugger and eval-view open source?
- Yes - both are open-source projects on GitHub (LLMDebugger: Apache-2.0, eval-view: Apache-2.0).
- Where can I find alternatives to LLMDebugger or eval-view?
- GraphCanon lists graph-backed alternatives at LLMDebugger alternatives and eval-view alternatives (LLMDebugger markdown twin, eval-view 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, LLMDebugger or eval-view?
- LLMDebugger: Dormant. eval-view: 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 LLMDebugger and eval-view?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMDebugger trust report; eval-view trust report.