Comparison
openinference vs agentwatch
Verdict
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; pick agentwatch if agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights.
Markdown twin · openinference alternatives · agentwatch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | openinference | agentwatch |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (451d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1w · 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
- openinference
- OpenTelemetry Instrumentation for AI Observability
- agentwatch
- A powerful AI observability framework for monitoring and optimizing AI-driven applications.
Stars
- openinference
- 1.2k
- agentwatch
- 122
Forks
- openinference
- 299
- agentwatch
- 11
Open issues
- openinference
- 238
- agentwatch
- 0
Language
- openinference
- Python
- agentwatch
- Python
Adopt for
- 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
- agentwatch
- Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions.
Persona
- openinference
- -
- agentwatch
- -
Runtime
- openinference
- -
- agentwatch
- -
License
- openinference
- Apache-2.0
- agentwatch
- Apache-2.0
Last pushed
- openinference
- Aug 20, 2026
- agentwatch
- May 14, 2025
Categories
- openinference
- Evaluation & Observability
- agentwatch
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- openinference
- Very active (96%)
- agentwatch
- Dormant (18%)
Days since push
- openinference
- 0d
- agentwatch
- 451d
Open issues (now)
- openinference
- 238
- agentwatch
- 0
Stars delta
- openinference
- +55 (30d)
- agentwatch
- Unknown
Open issues delta
- openinference
- +5 (30d)
- agentwatch
- Unknown
Full report
- openinference
- Trust report
- agentwatch
- Trust report
Choose openinference if…
- 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.
- More GitHub stars (1.2k vs 122) - visibility, not fit.
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.
Choose agentwatch if…
- Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large language models.
- Also covers AI Agents.
- When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models
When NOT to use agentwatch
- For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations
- When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Arize-ai/openinference) · observed Aug 21, 2026
- GitHub forks (Arize-ai/openinference) · observed Aug 21, 2026
- Last push (Arize-ai/openinference) · observed Aug 20, 2026
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 9, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (cyberark/agentwatch) · observed Aug 9, 2026
- GitHub forks (cyberark/agentwatch) · observed Aug 9, 2026
- Last push (cyberark/agentwatch) · observed May 14, 2025
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: openinference 1.2k · agentwatch 122 (synced Aug 21, 2026).
Common questions
- What is the difference between openinference and agentwatch?
- openinference: OpenTelemetry Instrumentation for AI Observability. agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. See the comparison table for live GitHub stats and shared categories.
- When should I choose openinference over agentwatch?
- Choose openinference over agentwatch when 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; More GitHub stars (1.2k vs 122) - visibility, not fit.
- When should I choose agentwatch over openinference?
- Choose agentwatch over openinference when Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large language models; Also covers AI Agents; When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models.
- 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.
- When should I avoid agentwatch?
- For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems
- Is openinference or agentwatch more popular on GitHub?
- openinference has more GitHub stars (1,159 vs 122). Stars measure visibility, not whether either tool fits your constraints.
- Are openinference and agentwatch open source?
- Yes - both are open-source projects on GitHub (openinference: Apache-2.0, agentwatch: Apache-2.0).
- Where can I find alternatives to openinference or agentwatch?
- GraphCanon lists graph-backed alternatives at openinference alternatives and agentwatch alternatives (openinference markdown twin, agentwatch 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, openinference or agentwatch?
- openinference: Very active. agentwatch: 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 openinference and agentwatch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openinference trust report; agentwatch trust report.