Comparison
openinference vs databuff
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 databuff if dataBuff is an AI-native open-source APM software that integrates OpenTelemetry standards to offer full-chain monitoring, service topology analysis, and.
Markdown twin · openinference alternatives · databuff alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | openinference | databuff |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 10, 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 10, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- openinference
- OpenTelemetry Instrumentation for AI Observability
- databuff
- AI-native OpenTelemetry APM with multi-agent root-cause analysis
Stars
- openinference
- 1.2k
- databuff
- 665
Forks
- openinference
- 318
- databuff
- 130
Open issues
- openinference
- 234
- databuff
- 11
Language
- openinference
- Python
- databuff
- Java
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
- databuff
- DataBuff is an AI-native open-source APM software that integrates OpenTelemetry standards to offer full-chain monitoring, service topology analysis, and AI assistance in problem-solving for cloud-native scenarios.
Persona
- openinference
- -
- databuff
- -
Runtime
- openinference
- -
- databuff
- -
License
- openinference
- Apache-2.0
- databuff
- AGPL-3.0
Last pushed
- openinference
- Sep 19, 2026
- databuff
- Sep 10, 2026
Categories
- openinference
- Evaluation & Observability
- databuff
- Evaluation & Observability
Trust and health
Open issues (now)
- openinference
- 234
- databuff
- 11
Stars delta
- openinference
- +66 (30d)
- databuff
- +138 (30d)
Open issues delta
- openinference
- -4 (30d)
- databuff
- 0 (30d)
Owner type
- openinference
- Organization
- databuff
- User
Full report
- openinference
- Trust report
- databuff
- Trust report
Choose openinference if…
- openinference is primarily Python; databuff is Java.
- License: openinference is Apache-2.0, databuff is AGPL-3.0.
- Tags unique to openinference: llmops, openinference, telemetry, tracing.
- 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.
Choose databuff if…
- databuff is primarily Java; openinference is Python.
- License: databuff is AGPL-3.0, openinference is Apache-2.0.
- Pricing: Open-source under the AGPL-3.0 license, no cost for use but with obligations..
- Tags unique to databuff: ai, apm, devops, distributed-tracing.
- Use DataBuff when you need AI-driven root-cause analysis capabilities across traces, metrics, and service topologies.
When NOT to use databuff
- DataBuff may not be suitable when you require real-time eBPF APM capabilities, as this feature is still under development.
- Do not use DataBuff if your monitoring requirements do not involve the use of AI to handle multiple agents and their coordination for complex problems.
- If your project prefers proprietary observability solutions over open-source alternatives that enforce AGPL-3.0 licensing terms, DataBuff might not align with your project's goals.
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 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 (databufflabs/databuff) · observed Sep 20, 2026
- GitHub forks (databufflabs/databuff) · observed Sep 20, 2026
- Last push (databufflabs/databuff) · observed Sep 10, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: openinference 1.2k · databuff 665 (synced Sep 20, 2026).
Common questions
- What is the difference between openinference and databuff?
- openinference: OpenTelemetry Instrumentation for AI Observability. databuff: AI-native OpenTelemetry APM with multi-agent root-cause analysis. See the comparison table for live GitHub stats and shared categories.
- When should I choose openinference over databuff?
- Choose openinference over databuff when openinference is primarily Python; databuff is Java; License: openinference is Apache-2.0, databuff is AGPL-3.0; Tags unique to openinference: llmops, openinference, telemetry, tracing; When you are working with AI applications that need detailed tracing capabilities alongside observability features provided by OpenTelemetry.
- When should I choose databuff over openinference?
- Choose databuff over openinference when databuff is primarily Java; openinference is Python; License: databuff is AGPL-3.0, openinference is Apache-2.0; Pricing: Open-source under the AGPL-3.0 license, no cost for use but with obligations.; Tags unique to databuff: ai, apm, devops, distributed-tracing; Use DataBuff when you need AI-driven root-cause analysis capabilities across traces, metrics, and service topologies.
- 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 databuff?
- DataBuff may not be suitable when you require real-time eBPF APM capabilities, as this feature is still under development. Do not use DataBuff if your monitoring requirements do not involve the use of AI to handle multiple agents and their coordination for complex problems. If your project prefers proprietary observability solutions over open-source alternatives that enforce AGPL-3.0 licensing terms, DataBuff might not align with your project's goals.
- Is openinference or databuff more popular on GitHub?
- openinference has more GitHub stars (1,225 vs 665). Stars measure visibility, not whether either tool fits your constraints.
- Are openinference and databuff open source?
- Yes - both are open-source projects on GitHub (openinference: Apache-2.0, databuff: AGPL-3.0).
- Where can I find alternatives to openinference or databuff?
- GraphCanon lists graph-backed alternatives at openinference alternatives and databuff alternatives (openinference markdown twin, databuff 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 databuff?
- openinference: Very active. databuff: 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 openinference and databuff?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openinference trust report; databuff trust report.