Comparison
agentops vs openinference
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 openinference if openInference is a tool focused on providing observability for AI systems using OpenTelemetry, designed to complement it by enabling tracing of AI applications. It is natively supported by Arize Phoenix and AX but can be.
Markdown twin · agentops alternatives · openinference alternatives
GraphCanon updated Sep 20, 2026
14views this month
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Trust & integrity
| Signal | agentops | openinference |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- openinference
- OpenTelemetry Instrumentation for AI Observability
Stars
- agentops
- 5.8k
- openinference
- 1.2k
Forks
- agentops
- 625
- openinference
- 318
Open issues
- agentops
- 184
- openinference
- 234
Language
- agentops
- Python
- openinference
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- openinference
- OpenInference is a tool focused on providing observability for AI systems using OpenTelemetry, designed to complement it by enabling tracing of AI applications. It is natively supported by Arize Phoenix and AX but can be
Persona
- agentops
- -
- openinference
- -
Runtime
- agentops
- -
- openinference
- -
License
- agentops
- MIT
- openinference
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- openinference
- Sep 19, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- openinference
- Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- openinference
- Very active (96%)
Days since push
- agentops
- 86d
- openinference
- 0d
Open issues (now)
- agentops
- 184
- openinference
- 234
Stars delta
- agentops
- +59 (30d)
- openinference
- +66 (30d)
Open issues delta
- agentops
- +8 (30d)
- openinference
- -4 (30d)
Full report
- agentops
- Trust report
- openinference
- Trust report
Choose agentops if…
- License: agentops is MIT, openinference is Apache-2.0.
- 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 openinference if…
- License: openinference is Apache-2.0, agentops is MIT.
- Tags unique to openinference: aiops, llmops, openinference, telemetry.
- When you are working with AI applications that need detailed tracing capabilities alongside observability features provided by OpenTelemetry.
When NOT to use openinference
- When your AI applications do not require the specific tracing features supported by OpenInference and can operate effectively with standard OpenTelemetry capabilities alone.
- If you are looking for alternatives that offer more generic observability features without needing to integrate Arize-specific tools, as this might make OpenInference less beneficial.
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 (Arize-ai/openinference) · observed Sep 20, 2026
- GitHub forks (Arize-ai/openinference) · observed Sep 20, 2026
- Last push (Arize-ai/openinference) · observed Sep 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 9, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · openinference 1.2k (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and openinference?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. openinference: OpenTelemetry Instrumentation for AI Observability. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over openinference?
- Choose agentops over openinference when License: agentops is MIT, openinference is Apache-2.0; 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 openinference over agentops?
- Choose openinference over agentops when License: openinference is Apache-2.0, agentops is MIT; Tags unique to openinference: aiops, llmops, openinference, telemetry; When you are working with AI applications that need detailed tracing capabilities alongside observability features provided by OpenTelemetry.
- 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 openinference?
- When your AI applications do not require the specific tracing features supported by OpenInference and can operate effectively with standard OpenTelemetry capabilities alone. If you are looking for alternatives that offer more generic observability features without needing to integrate Arize-specific tools, as this might make OpenInference less beneficial.
- Is agentops or openinference more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 1,225). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and openinference open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, openinference: Apache-2.0).
- Where can I find alternatives to agentops or openinference?
- GraphCanon lists graph-backed alternatives at agentops alternatives and openinference alternatives (agentops markdown twin, openinference 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 openinference?
- agentops: Steady. openinference: 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 agentops and openinference?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; openinference trust report.