Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-05 10:05 UTC

Mandark-droid / genai_otel_instrument

GenAI OpenTelemetry Auto-Instrumentation Library A comprehensive wrapper for automatic instrumentation of LLM/GenAI applications Supports all major LLM providers and MCP (Model Context Protocol) tool calls

PythonApache-2.0★ 3 stars⑂ 1 forksince Oct 2025View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#ai-agents#ai-observability#anthropic#cost-tracking#crewai#genai#gpu-metrics#instrumentation#langchain#llm#llm-observability#mcp#observability#openai#opentelemetry#python#amd-gpu#green-ai#nvidia#co2-tracking

Mandark-droid/genai_otel_instrument holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (95/100) and lowest on Community & Adoption (42/100). It was last updated today. A single contributor accounts for most of its recent work.

80
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

80
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

kshitij thakkarPersonal account
15 followers86 public repossince Sep 2021Traceverse

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgenai-otel-instrument1.27.04,343890 days agoopentelemetryobservabilityllmgenaiinstrumentationtracingmetricsmonitoringai-agentsopenaianthropiclangchaincrewaiauto-instrumentationcost-trackinggpu-metricsmcpmodel-context-protocolllm-observabilityai-observability

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

93Exceptional · 21% of overall

Development activity

88Excellent
How it's scored
36/36Push recency — last push 0 days ago
25.6/36Commit cadence — 37/52 weeks with commits
18/18Commit volume — 378 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year378
human_commit_share1
days_since_last_push0
active_weeks_last_year37

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 82 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~1.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count82
latest_release_tagv1.27.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.8

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

42Weak · 17% of overall

Popularity & adoption

5Critical
How it's scored
4.9/60Stars — 3 stars
0/25Forks — 1 forks
0/15Watchers — 1 watchers
Inputs used
forks1
stars3
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

61Moderate
How it's scored
48.5/80Monthly downloads — 4,343 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgenai-otel-instrument
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,343
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

61Moderate · 23% of overall

Maintainer resilience (bus factor)

16Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.1/22.5Commit distribution — top contributor authored 86% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.862

Issue & PR responsiveness

93Exceptional
How it's scored
38.5/42Issue resolution — 92% of issues closed
28.2/30PR acceptance — 16/17 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs16
open_issues1
closed_issues11
prs_merged_7d4
prs_decided_7d4
prs_merged_30d10
prs_decided_30d10
issue_closed_ratio0.917
closed_unmerged_prs1
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

52Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
8.7/25Owner reach — 15 followers of Mandark-droid
23/25Track record — 86 public repos, account ~5 yr old
Inputs used
followers15
owner_typeUser
is_verified—
owner_loginMandark-droid
public_repos86
account_age_days1,829
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 89 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgenai-otel-instrument
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .pylintrc, pyproject.toml ([tool.pylint], [tool.black], [tool.isort])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://mandark-droid.github.io/genai_otel_instrument/
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsai-agents, ai-observability, anthropic, cost-tracking, crewai, genai, gpu-metrics, instrumentation, langchain, llm, llm-observability, mcp, observability, openai, opentelemetry, python, amd-gpu, green-ai, nvidia, co2-tracking
has_wikiyes
homepage—
docs_sitehttps://mandark-droid.github.io/genai_otel_instrument/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

44Weak · 16% of overall

Security posture

30At Risk
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestspyproject.toml, requirements-dev.txt, requirements-testing.txt, requirements.txt, setup.py
has_codeql_workflowno
has_security_policyyes
has_dependabot_configno

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories4
affected_packages1
assessed_packages6
unassessed_packages106
affected_by_severityhigh 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 6 resolved dependencies against OSV. 106 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

65Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

64Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .pylintrc, pyproject.toml ([tool.pylint], [tool.black], [tool.isort])
11/11Static type checking — genai_otel/py.typed
10/10Reproducible environment — Dockerfile
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsgenai_otel/py.typed
agent_commit_share0.02
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (genai_otel/py.typed)
54.6/55Manageable file sizes — 3/384 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes135,925
source_files_sampled384
oversized_source_files3

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

3GitHub stars
2contributors
378commits, last 12 months
0days since last push
82releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:genai-otel-instrument@1.27.0; advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIopentelemetry-api>=1.20.0,<2.0.0pyproject.toml
PyPIopentelemetry-sdk>=1.20.0,<2.0.0pyproject.toml
PyPIopentelemetry-instrumentation>=0.41b0pyproject.toml
PyPIopentelemetry-semantic-conventions>=0.45b0pyproject.toml
PyPIopentelemetry-exporter-otlp>=1.20.0pyproject.toml
PyPIwrapt>=1.14.0pyproject.toml
All dependencies 112

Full resolved dependency set from the GitHub dependency graph: 6 direct and 106 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIopentelemetry-api—direct
PyPIopentelemetry-exporter-otlp—direct
PyPIopentelemetry-instrumentation—direct
PyPIopentelemetry-sdk—direct
PyPIopentelemetry-semantic-conventions—direct
PyPIwrapt—direct
PyPIamdsmi—indirect
PyPIanthropic—indirect
PyPIautogen-agentchat—indirect
PyPIazure-ai-inference—indirect
PyPIbandit—indirect
PyPIblack—indirect
PyPIboto3—indirect
PyPIbuild—indirect
PyPIchromadb—indirect
PyPIcodecarbon—indirect
PyPIcohere—indirect
PyPIcrewai—indirect
PyPIdetoxify—indirect
PyPIdspy-ai—indirect
PyPIelasticsearch—indirect
PyPIelevenlabs—indirect
PyPIfaiss-cpu—indirect
PyPIfalkordb—indirect
PyPIflake8—indirect
PyPIgoogle-adk—indirect
PyPIgoogle-api-python-client—indirect
PyPIgoogle-cloud-aiplatform—indirect
PyPIgoogle-generativeai—indirect
PyPIgroq—indirect
PyPIguardrails-ai—indirect
PyPIhaystack-ai—indirect
PyPIhttpx—indirect
PyPIinstructor—indirect
PyPIisort—indirect
PyPIkafka-python—indirect
PyPIkafka-python2.0.2indirect
PyPIlancedb—indirect
PyPIlangchain—indirect
PyPIlangchain-openai—indirect
PyPIlanggraph—indirect
PyPIliquid-audio—indirect
PyPIlitellm—indirect
PyPIllama-cpp-python—indirect
PyPIllama-index—indirect
PyPImcp—indirect
PyPIminio—indirect
PyPImistralai—indirect
PyPImypy—indirect
PyPImysql-connector-python—indirect
PyPInvidia-ml-py—indirect
PyPIollama—indirect
PyPIopenai—indirect
PyPIopencv-python-headless—indirect
PyPIopeninference-instrumentation—indirect
PyPIopeninference-instrumentation0.1.31indirect
PyPIopeninference-instrumentation-litellm—indirect
PyPIopeninference-instrumentation-litellm0.1.19indirect
PyPIopeninference-instrumentation-mcp—indirect
PyPIopeninference-instrumentation-mcp1.3.0indirect
PyPIopeninference-instrumentation-smolagents—indirect
PyPIopeninference-instrumentation-smolagents0.1.11indirect
PyPIopeninference-semantic-conventions0.1.17indirect
PyPIopensearch-py—indirect
PyPIopentelemetry-exporter-otlp-proto-http—indirect
PyPIopentelemetry-instrumentation-elasticsearch—indirect
PyPIopentelemetry-instrumentation-httpx—indirect
PyPIopentelemetry-instrumentation-kafka-python—indirect
PyPIopentelemetry-instrumentation-mysql—indirect
PyPIopentelemetry-instrumentation-opensearch-py—indirect
PyPIopentelemetry-instrumentation-psycopg2—indirect
PyPIopentelemetry-instrumentation-pymongo—indirect
PyPIopentelemetry-instrumentation-redis—indirect
PyPIopentelemetry-instrumentation-requests—indirect
PyPIopentelemetry-instrumentation-sqlalchemy—indirect
PyPIpika—indirect
PyPIpillow—indirect
PyPIpinecone—indirect
PyPIpresidio-analyzer—indirect
PyPIpresidio-anonymizer—indirect
PyPIpsycopg2-binary—indirect
PyPIpyautogen—indirect
PyPIpydantic-ai—indirect
PyPIpylint—indirect
PyPIpymilvus—indirect
PyPIpymongo—indirect
PyPIpypdf—indirect
PyPIpytest—indirect
PyPIpytest-asyncio—indirect
PyPIpytest-cov—indirect
PyPIpytest-mock—indirect
PyPIqdrant-client—indirect
PyPIredis—indirect
PyPIreplicate—indirect
PyPIrequests—indirect
PyPIsafety—indirect
PyPIsambanova—indirect
PyPIsarvamai—indirect
PyPIsentence-transformers—indirect
PyPIsetuptools—indirect
PyPIsetuptools-scm—indirect
PyPIspacy—indirect
PyPIsphinx—indirect
PyPIsphinx-rtd-theme—indirect
PyPIsqlalchemy—indirect
PyPItogether—indirect
PyPItorch—indirect
PyPItransformers—indirect
PyPItwine—indirect
PyPIvllm—indirect
PyPIweaviate-client—indirect
PyPIwheel—indirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 6 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct. 106 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
kafka-python2.0.2indirecthigh42.3.2

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.