# Arize-ai/openinference — health index 81/100 (Good)

> Inspection of the public repository Arize-ai/openinference by inspect.software. It holds a health index of 81 out of 100, placing it in the Good band. The index is a signal derived from publicly visible practice, not a warranty, a security audit, or an endorsement, and it is independent of payment.

- Repository: https://github.com/Arize-ai/openinference
- Report page: https://inspect.software/software/Arize-ai/openinference
- Full JSON report: https://inspect.software/api/repositories/Arize-ai/openinference/report
- Badge: https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/Arize-ai/openinference.svg
- Inspected: 2026-07-21
- Methodology: metrics 1.13.0, report schema 0.16.0 (https://inspect.software/methodology.md)

## Category summary

| Category | Weight | Index | Band |
|---|---|---|---|
| Vitality | 22% | 99/100 | Excellent |
| Community & Adoption | 18% | 85/100 | Excellent |
| Sustainability & Governance | 24% | 82/100 | Good |
| Engineering Quality | 20% | 85/100 | Excellent |
| Security | 16% | 46/100 | At risk |
| AI Readiness | not counted | 79/100 | Good |

## Repository facts

| Field | Value |
|---|---|
| Description | OpenTelemetry Instrumentation for AI Observability |
| Homepage | https://arize-ai.github.io/openinference/ |
| Primary language | Python |
| License | Apache-2.0 |
| Stars | 1,103 |
| Forks | 275 |
| Created | 2023-12-26 |
| Last push | 2026-07-20 |
| Latest release | python-openinference-instrumentation-google-adk-v0.1.17 |
| Commits (last year) | 781 |
| Bus factor | 3 |
| Topics | llmops, telemetry, aiops, llms, opentelemetry, tracing, hacktoberfest, haystack, langchain, langraph, llamaindex, openai, vercel, vertex, smolagents, openai-agents, mcp, gemini, pydantic-ai |

## Published packages

| Registry | Package | Latest | Monthly downloads |
|---|---|---|---|
| go | github.com/Arize-ai/openinference/go/openinference-instrumentation | v0.1.1 | — |
| go | github.com/Arize-ai/openinference/go/openinference-semantic-conventions | v0.1.1 | — |
| go | github.com/Arize-ai/openinference/go/openinference-instrumentation-openai-go | v0.1.0 | — |
| pypi | openinference-instrumentation | 0.1.54 | 6,838,267 |
| go | github.com/Arize-ai/openinference/go/openinference-instrumentation-anthropic-sdk-go | v0.1.0 | — |
| pypi | openinference-semantic-conventions | 0.1.30 | 7,069,795 |

## Vitality — 99/100 (Excellent)

Is the project alive — is code being written and are releases shipping? Weight: 22% of the overall index.

### Development activity — 99/100 (Excellent)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Push recency | met | 36 / 36 | last push 0 days ago |
| Commit cadence | partial | 35.3 / 36 | 51/52 weeks with commits |
| Commit volume | met | 18 / 18 | 781 commits in the last year |
| OpenSSF Scorecard: Maintained | excluded | 0 / 10 | OpenSSF Scorecard unavailable |

### Release discipline — 100/100 (Excellent)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Ships releases | met | 27 / 27 | 100 releases published |
| Release recency | met | 36 / 36 | latest release 19 days ago |
| Release cadence | met | 27 / 27 | a release every ~0.8 days |
| OpenSSF Scorecard: Signed-Releases | excluded | 0 / 10 | OpenSSF Scorecard unavailable |

### Abandonment — 100/100 (Excellent)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Project is still maintained | met | 100 / 100 | maintenance record not established from the collected data |

## Community & Adoption — 85/100 (Excellent)

Does the project have users, downloads, attention, and a welcoming setup for contributors? Weight: 18% of the overall index.

### Popularity & adoption — 76/100 (Good)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Stars | partial | 49.3 / 60 | 1,103 stars |
| Forks | partial | 20.3 / 25 | 275 forks |
| Watchers | partial | 6.4 / 15 | 15 watchers |

### Community health — 85/100 (Excellent)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| README | met | 22.5 / 22.5 | — |
| License | met | 22.5 / 22.5 | recognized license (Apache-2.0) |
| CONTRIBUTING guide | met | 18 / 18 | — |
| Code of conduct | met | 13.5 / 13.5 | — |
| Issue template | not met | 0 / 7.2 | — |
| PR template | not met | 0 / 6.3 | — |

### Ecosystem adoption (downloads) — 100/100 (Excellent)

Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Monthly downloads | met | 80 / 80 | 13,908,062 downloads/month across go, pypi |
| Registry dependents | excluded | 0 / 20 | not reported by this ecosystem |

## Sustainability & Governance — 82/100 (Good)

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep? Weight: 24% of the overall index.

### Maintainer resilience (bus factor) — 74/100 (Good)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Bus factor | partial | 36 / 54 | 3 contributor(s) cover half of all commits |
| Commit distribution | partial | 16.7 / 22.5 | top contributor authored 26% of commits |
| Contributor breadth | met | 13.5 / 13.5 | 100 contributors |
| OpenSSF Scorecard: Contributors | excluded | 0 / 10 | OpenSSF Scorecard unavailable |

### Issue & PR responsiveness — 84/100 (Good)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Issue resolution | partial | 39.6 / 46.8 | 85% of issues closed |
| PR acceptance | partial | 31.9 / 38.2 | 1931/2312 decided PRs merged |
| OpenSSF Scorecard: Code-Review | excluded | 0 / 15 | OpenSSF Scorecard unavailable |

### Ownership & stewardship — 74/100 (Good)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Ownership backing | met | 30 / 30 | organization-owned |
| Verified domain | not met | 0 / 20 | — |
| Owner reach | partial | 19.5 / 25 | 521 followers of Arize-ai |
| Track record | met | 25 / 25 | 71 public repos, account ~6 yr old |

### Package maintenance — 100/100 (Excellent)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Published & resolvable | met | 25 / 25 | 6 package(s) on go, pypi |
| Publish recency | met | 35 / 35 | latest publish 20 days ago |
| Version history | met | 20 / 20 | 55 published versions |
| Not deprecated | met | 20 / 20 | active, not deprecated or yanked |

## Engineering Quality — 85/100 (Excellent)

Are baseline engineering and documentation practices in place? Weight: 20% of the overall index.

### Engineering practices — 92/100 (Excellent)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| CI workflows | met | 24 / 24 | 22 workflow(s) |
| Tests present | met | 24 / 24 | — |
| Linter config | met | 16 / 16 | ruff.toml, tox.ini |
| Pre-commit hooks | met | 9.6 / 9.6 | — |
| .editorconfig | not met | 0 / 6.4 | — |
| OpenSSF Scorecard: CI-Tests | excluded | 0 / 20 | OpenSSF Scorecard unavailable |

### Documentation — 75/100 (Good)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| README | met | 30 / 30 | — |
| Documentation directory | not met | 0 / 25 | — |
| Documentation / homepage site | met | 15 / 15 | https://arize-ai.github.io/openinference/ |
| Repository description | met | 10 / 10 | — |
| Topics | met | 10 / 10 | 19 topics |
| Wiki | met | 10 / 10 | — |

## Security — 46/100 (At risk)

Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure? Weight: 16% of the overall index.

### Security posture — 33/100 (At risk)

Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Security policy (SECURITY.md) | not met | 0 / 30 | — |
| Dependabot config | met | 25 / 25 | — |
| Dependency lockfiles | excluded | 0 / 25 | published library — lockfiles are an application concern, not expected |
| CodeQL workflow | not met | 0 / 20 | — |

### Dependency advisories — 100/100 (Excellent)

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:openinference-instrumentation@0.1.54 runtime dependency closure — what installing the published package pulls in — 6 packages. Reachability is not analyzed.

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Direct dependencies free of known advisories | met | 35 / 35 | no direct dependency carries a known advisory |
| Indirect dependencies free of known advisories | met | 25 / 25 | no indirect dependency carries a known advisory |
| No advisories left outstanding | excluded | 0 / 40 | no advisory carries a publication date |

### Malicious dependencies — 100/100 (Excellent)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| No dependency reported as a malicious package | met | 100 / 100 | no dependency is reported as a malicious package |

### High-Risk Jurisdiction Exposure — 100/100 (Excellent)

Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Policy exposure multiplier | met | 100 / 100 | no confirmed policy-scope location match |

## AI Readiness — 79/100 (Good)

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

### Agent context & guidance — 75/100 (Good)

Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Agent instructions | met | 45 / 45 | AGENTS.md, CLAUDE.md, js/AGENTS.md, js/CLAUDE.md, python/AGENTS.md, python/CLAUDE.md |
| Machine-readable docs (llms.txt) | not met | 0 / 15 | — |
| Legible commit history | excluded | 0 / 40 | no data |

### Verify loop (build / test / typecheck) — 96/100 (Excellent)

Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

| Criterion | Status | Points | Detail |
|---|---|---|---|
| One-command bootstrap | met | 18 / 18 | Makefile |
| Automated tests | met | 22 / 22 | — |
| Lint / format config | met | 11 / 11 | ruff.toml, tox.ini |
| Static type checking | met | 11 / 11 | js/packages/openinference-core/tsconfig.json, js/packages/openinference-genai/tsconfig.json, js/packages/openinference-instrumentation-anthropic/tsconfig.json, js/packages/openinference-instrumentation-bedrock-agent-runtime/tsconfig.json, js/packages/openinference-instrumentation-bedrock/tsconfig.json, js/packages/openinference-instrumentation-beeai/tsconfig.json, js/packages/openinference-instrumentation-claude-agent-sdk/tsconfig.json, js/packages/openinference-instrumentation-langchain-v0/tsconfig.json, js/packages/openinference-instrumentation-langchain/tsconfig.json, js/packages/openinference-instrumentation-mcp/tsconfig.json, js/packages/openinference-instrumentation-openai-agents/tsconfig.json, js/packages/openinference-instrumentation-openai/tsconfig.json, js/packages/openinference-semantic-conventions/tsconfig.json, js/packages/openinference-tanstack-ai/tsconfig.json, js/packages/openinference-vercel/tsconfig.json, python/instrumentation/openinference-instrumentation-agentspec/src/openinference/instrumentation/agentspec/py.typed, python/instrumentation/openinference-instrumentation-agno/src/openinference/instrumentation/agno/py.typed, python/instrumentation/openinference-instrumentation-autogen-agentchat/src/openinference/instrumentation/autogen_agentchat/py.typed, python/instrumentation/openinference-instrumentation-bedrock/src/openinference/instrumentation/bedrock/py.typed, python/instrumentation/openinference-instrumentation-dspy/src/openinference/instrumentation/dspy/py.typed, python/instrumentation/openinference-instrumentation-google-adk/src/openinference/instrumentation/google_adk/py.typed, python/instrumentation/openinference-instrumentation-google-genai/src/openinference/instrumentation/google_genai/py.typed, python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/py.typed, python/instrumentation/openinference-instrumentation-litellm/src/openinference/instrumentation/litellm/py.typed, python/instrumentation/openinference-instrumentation-llama-index/src/openinference/instrumentation/llama_index/py.typed, python/instrumentation/openinference-instrumentation-mistralai/src/openinference/instrumentation/mistralai/py.typed, python/instrumentation/openinference-instrumentation-openai-agents/src/openinference/instrumentation/openai_agents/py.typed, python/instrumentation/openinference-instrumentation-openai/src/openinference/instrumentation/openai/py.typed, python/instrumentation/openinference-instrumentation-openlit/src/openinference/instrumentation/openlit/py.typed, python/instrumentation/openinference-instrumentation-pydantic-ai/src/openinference/instrumentation/pydantic_ai/py.typed, python/instrumentation/openinference-instrumentation-smolagents/src/openinference/instrumentation/smolagents/py.typed, python/instrumentation/openinference-instrumentation-vertexai/src/openinference/instrumentation/vertexai/py.typed, python/mypy.ini, python/openinference-instrumentation/src/openinference/instrumentation/py.typed, python/openinference-semantic-conventions/src/openinference/semconv/py.typed |
| Reproducible environment | met | 10 / 10 | lockfile |
| Demonstrated agent practice | excluded | 0 / 10 | no data |
| Automated maintenance | partial | 5 / 8 | dependency automation configured, none observed in the sampled commits |
| OpenSSF Scorecard: Pinned-Dependencies | excluded | 0 / 10 | OpenSSF Scorecard unavailable |

### Code legibility for models — 81/100 (Good)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| Type-checkable code | partial | 27 / 45 | Python with type-check config (js/packages/openinference-core/tsconfig.json, js/packages/openinference-genai/tsconfig.json, js/packages/openinference-instrumentation-anthropic/tsconfig.json, js/packages/openinference-instrumentation-bedrock-agent-runtime/tsconfig.json, js/packages/openinference-instrumentation-bedrock/tsconfig.json, js/packages/openinference-instrumentation-beeai/tsconfig.json, js/packages/openinference-instrumentation-claude-agent-sdk/tsconfig.json, js/packages/openinference-instrumentation-langchain-v0/tsconfig.json, js/packages/openinference-instrumentation-langchain/tsconfig.json, js/packages/openinference-instrumentation-mcp/tsconfig.json, js/packages/openinference-instrumentation-openai-agents/tsconfig.json, js/packages/openinference-instrumentation-openai/tsconfig.json, js/packages/openinference-semantic-conventions/tsconfig.json, js/packages/openinference-tanstack-ai/tsconfig.json, js/packages/openinference-vercel/tsconfig.json, python/instrumentation/openinference-instrumentation-agentspec/src/openinference/instrumentation/agentspec/py.typed, python/instrumentation/openinference-instrumentation-agno/src/openinference/instrumentation/agno/py.typed, python/instrumentation/openinference-instrumentation-autogen-agentchat/src/openinference/instrumentation/autogen_agentchat/py.typed, python/instrumentation/openinference-instrumentation-bedrock/src/openinference/instrumentation/bedrock/py.typed, python/instrumentation/openinference-instrumentation-dspy/src/openinference/instrumentation/dspy/py.typed, python/instrumentation/openinference-instrumentation-google-adk/src/openinference/instrumentation/google_adk/py.typed, python/instrumentation/openinference-instrumentation-google-genai/src/openinference/instrumentation/google_genai/py.typed, python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/py.typed, python/instrumentation/openinference-instrumentation-litellm/src/openinference/instrumentation/litellm/py.typed, python/instrumentation/openinference-instrumentation-llama-index/src/openinference/instrumentation/llama_index/py.typed, python/instrumentation/openinference-instrumentation-mistralai/src/openinference/instrumentation/mistralai/py.typed, python/instrumentation/openinference-instrumentation-openai-agents/src/openinference/instrumentation/openai_agents/py.typed, python/instrumentation/openinference-instrumentation-openai/src/openinference/instrumentation/openai/py.typed, python/instrumentation/openinference-instrumentation-openlit/src/openinference/instrumentation/openlit/py.typed, python/instrumentation/openinference-instrumentation-pydantic-ai/src/openinference/instrumentation/pydantic_ai/py.typed, python/instrumentation/openinference-instrumentation-smolagents/src/openinference/instrumentation/smolagents/py.typed, python/instrumentation/openinference-instrumentation-vertexai/src/openinference/instrumentation/vertexai/py.typed, python/mypy.ini, python/openinference-instrumentation/src/openinference/instrumentation/py.typed, python/openinference-semantic-conventions/src/openinference/semconv/py.typed) |
| Manageable file sizes | partial | 54 / 55 | 18/974 source files over 60KB |

### Machine-readable interfaces — 40/100 (At risk)

| Criterion | Status | Points | Detail |
|---|---|---|---|
| API schema (OpenAPI/GraphQL/proto) | not met | 0 / 40 | — |
| MCP server | not met | 0 / 20 | — |
| Runnable examples | met | 40 / 40 | examples, notebooks |

## Collection warnings

- OpenSSF Scorecard did not return a usable result (2026/07/21 01:09:40 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

## What this report is

inspect.software measures public repositories against a single published, versioned methodology and reports the result as a 1–100 health index. Findings are signals derived from what is visible in public repository data — they are not a security audit, a warranty, or an endorsement, and no result depends on payment.

- Methodology, formulas and weights: https://inspect.software/methodology.md
- What a result does and does not claim: https://inspect.software/wiki/signals-not-warranties.md
- Rating bands: https://inspect.software/wiki/scoring-bands.md
- Corrections: https://inspect.software/contact.md
- Index of all documents: https://inspect.software/llms.txt