Comparison
agentops vs athina-evals
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 athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
Markdown twin · agentops alternatives · athina-evals alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentops | athina-evals |
|---|---|---|
| Maintenance | Steady (49d since push) As of 1w · github_public_v1 | Dormant (417d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- athina-evals
- Python SDK for evaluating LLM generated responses
Stars
- agentops
- 5.8k
- athina-evals
- 301
Forks
- agentops
- 612
- athina-evals
- 22
Open issues
- agentops
- 176
- athina-evals
- 3
Language
- agentops
- Python
- athina-evals
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- athina-evals
- athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
Persona
- agentops
- -
- athina-evals
- -
Runtime
- agentops
- -
- athina-evals
- -
License
- agentops
- MIT
- athina-evals
- -
Last pushed
- agentops
- Jun 25, 2026
- athina-evals
- Jun 6, 2025
Categories
- agentops
- AI Agents, Evaluation & Observability
- athina-evals
- Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- athina-evals
- Dormant (18%)
Days since push
- agentops
- 49d
- athina-evals
- 417d
Open issues (now)
- agentops
- 176
- athina-evals
- 3
Full report
- agentops
- Trust report
- athina-evals
- Trust report
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 athina-evals if…
- Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
- Leaner open-issue backlog (3).
When NOT to use athina-evals
- If open-source alternatives with transparent customization options are preferred over athina-evals' approach
- In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
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 (athina-ai/athina-evals) · observed Jul 28, 2026
- GitHub forks (athina-ai/athina-evals) · observed Jul 28, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · athina-evals 301 (synced Aug 14, 2026).
Common questions
- What is the difference between agentops and athina-evals?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. athina-evals: Python SDK for evaluating LLM generated responses. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over athina-evals?
- Choose agentops over athina-evals 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 athina-evals over agentops?
- Choose athina-evals over agentops when Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; 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 athina-evals?
- If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
- Is agentops or athina-evals more popular on GitHub?
- agentops has more GitHub stars (5,771 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and athina-evals open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to agentops or athina-evals?
- GraphCanon lists graph-backed alternatives at agentops alternatives and athina-evals alternatives (agentops markdown twin, athina-evals 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 athina-evals?
- agentops: Steady. athina-evals: 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 athina-evals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; athina-evals trust report.