Comparison
agentops vs dunetrace
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 dunetrace if dunetrace is a real-time monitoring tool for AI agents in production that provides insights into observability and reliability, primarily targeting Python and Node.js ecosystems.
Markdown twin · agentops alternatives · dunetrace alternatives
GraphCanon updated Sep 20, 2026
12views this month
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Trust & integrity
| Signal | agentops | dunetrace |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 | Active (10d since push) As of Sep 11, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 11, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings 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
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- dunetrace
- Real-time monitoring of production AI agents
Stars
- agentops
- 5.8k
- dunetrace
- 64
Forks
- agentops
- 625
- dunetrace
- 18
Open issues
- agentops
- 184
- dunetrace
- 20
Language
- agentops
- Python
- dunetrace
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- dunetrace
- dunetrace is a real-time monitoring tool for AI agents in production that provides insights into observability and reliability, primarily targeting Python and Node.js ecosystems.
Persona
- agentops
- -
- dunetrace
- -
Runtime
- agentops
- -
- dunetrace
- -
License
- agentops
- MIT
- dunetrace
- Other
Last pushed
- agentops
- Jun 25, 2026
- dunetrace
- Aug 31, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- dunetrace
- Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- dunetrace
- Active (82%)
Days since push
- agentops
- 86d
- dunetrace
- 10d
Open issues (now)
- agentops
- 184
- dunetrace
- 20
Stars delta
- agentops
- +59 (30d)
- dunetrace
- +5 (30d)
Open issues delta
- agentops
- +8 (30d)
- dunetrace
- -1 (30d)
Owner type
- agentops
- Organization
- dunetrace
- User
OSV dependency advisories
- agentops
- No lockfile (source not queried)
- dunetrace
- Published findings
Full report
- agentops
- Trust report
- dunetrace
- Trust report
Shared compatibility
- Python · agentops: Python runtime · dunetrace: Python runtime
Choose agentops if…
- License: agentops is MIT, dunetrace is Other.
- Tags unique to agentops: 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 dunetrace if…
- License: dunetrace is Other, agentops is MIT.
- Pricing: The repository does not specify any pricing information; it only mentions a license which is categorized as 'other'..
- Requirements: Requires Docker.
- Tags unique to dunetrace: agent-monitoring, agent-observability, real-time-monitoring.
- dunetrace ships Docker support for self-hosted deployment.
- When you need to monitor the performance of AI agents in real-time, as dunetrace offers insights specific to observability and reliability.
When NOT to use dunetrace
- When focusing solely on non-code aspects like UI/UX without any need for backend AI agent observation.
- If you are looking for a platform that supports extensive integrations beyond Python and Node.js, as dunetrace's focus is limited to these environments.
- For organizations that prefer proprietary solutions over tools under other licenses.
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 Sep 20, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Sep 20, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (dunetrace/dunetrace) · observed Sep 20, 2026
- GitHub forks (dunetrace/dunetrace) · observed Sep 20, 2026
- Last push (dunetrace/dunetrace) · observed Aug 31, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentops 5.8k · dunetrace 64 (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and dunetrace?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. dunetrace: Real-time monitoring of production AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over dunetrace?
- Choose agentops over dunetrace when License: agentops is MIT, dunetrace is Other; Tags unique to agentops: benchmarking, cost-tracking; Also covers AI Agents; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose dunetrace over agentops?
- Choose dunetrace over agentops when License: dunetrace is Other, agentops is MIT; Pricing: The repository does not specify any pricing information; it only mentions a license which is categorized as 'other'.; Requirements: Requires Docker; Tags unique to dunetrace: agent-monitoring, agent-observability, real-time-monitoring; dunetrace ships Docker support for self-hosted deployment; When you need to monitor the performance of AI agents in real-time, as dunetrace offers insights specific to observability and reliability.
- 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 dunetrace?
- When focusing solely on non-code aspects like UI/UX without any need for backend AI agent observation. If you are looking for a platform that supports extensive integrations beyond Python and Node.js, as dunetrace's focus is limited to these environments. For organizations that prefer proprietary solutions over tools under other licenses.
- Is agentops or dunetrace more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 64). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and dunetrace open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, dunetrace: Other).
- Where can I find alternatives to agentops or dunetrace?
- GraphCanon lists graph-backed alternatives at agentops alternatives and dunetrace alternatives (agentops markdown twin, dunetrace 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 dunetrace?
- agentops: Steady. dunetrace: 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 agentops and dunetrace?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; dunetrace trust report.