Comparison
agentops vs auto-evaluator
Verdict
Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick auto-evaluator if auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.
Markdown twin · agentops alternatives · auto-evaluator alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentops | auto-evaluator |
|---|---|---|
| Maintenance | Steady (49d since push) As of 1w · github_public_v1 | Dormant (1186d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · 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
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
Stars
- agentops
- 5.8k
- auto-evaluator
- 1.1k
Forks
- agentops
- 612
- auto-evaluator
- 92
Open issues
- agentops
- 176
- auto-evaluator
- 3
Language
- agentops
- Python
- auto-evaluator
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- auto-evaluator
- Auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.
Persona
- agentops
- -
- auto-evaluator
- -
Runtime
- agentops
- -
- auto-evaluator
- -
License
- agentops
- MIT
- auto-evaluator
- -
Last pushed
- agentops
- Jun 25, 2026
- auto-evaluator
- May 10, 2023
Categories
- agentops
- AI Agents, Evaluation & Observability
- auto-evaluator
- Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- auto-evaluator
- Dormant (18%)
Days since push
- agentops
- 49d
- auto-evaluator
- 1186d
Open issues (now)
- agentops
- 176
- auto-evaluator
- 3
Owner type
- agentops
- Organization
- auto-evaluator
- User
OSV dependency advisories
- agentops
- No lockfile (source not queried)
- auto-evaluator
- Published findings
Full report
- agentops
- Trust report
- auto-evaluator
- Trust report
Shared compatibility
- Python · agentops: Python runtime · auto-evaluator: Python runtime
Choose agentops if…
- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Also covers AI Agents.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
When NOT to use agentops
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
- In case self-hosting of components is impractical due to resource constraints
Choose auto-evaluator if…
- Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm.
- Use when you need a lightweight solution for testing question-answering capabilities of Langchain models.
- Leaner open-issue backlog (3).
When NOT to use auto-evaluator
- Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings.
- If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentOps-AI/agentops) · observed Aug 14, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Aug 14, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (rlancemartin/auto-evaluator) · observed Aug 8, 2026
- GitHub forks (rlancemartin/auto-evaluator) · observed Aug 8, 2026
- Last push (rlancemartin/auto-evaluator) · observed May 10, 2023
- License file (unknown) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · auto-evaluator 1.1k (synced Aug 14, 2026).
Common questions
- What is the difference between agentops and auto-evaluator?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. auto-evaluator: A lightweight evaluation tool for question-answering using Langchain. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over auto-evaluator?
- Choose agentops over auto-evaluator when Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers AI Agents; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose auto-evaluator over agentops?
- Choose auto-evaluator over agentops when Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; Leaner open-issue backlog (3).
- When should I avoid agentops?
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints
- When should I avoid auto-evaluator?
- Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings. If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
- Is agentops or auto-evaluator more popular on GitHub?
- agentops has more GitHub stars (5,771 vs 1,105). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to agentops or auto-evaluator?
- GraphCanon lists graph-backed alternatives at agentops alternatives and auto-evaluator alternatives (agentops markdown twin, auto-evaluator 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, agentops or auto-evaluator?
- agentops: Steady. auto-evaluator: Dormant. 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 agentops and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; auto-evaluator trust report.