Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 13:31 UTC

pydantic / logfire

AI observability platform for production LLM and agent systems.

PythonMIT★ 4,442 stars⑂ 282 forkssince Apr 2024View on GitHub ↗
KindLibraryCommand-line toolPluginDesktop applicationhow this is determined
#fastapi#logging#observability#openai#opentelemetry#pydantic#python#trace#metrics#ai#ai-tools#pydantic-ai#agent-observability#ai-observability#evals#llm-observability

pydantic/logfire holds a health index of 99 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Security (81/100). It was last updated today. 2 contributors account for most of its recent work.

99
overall / 100
Exceptional

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.

99
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 89 is calibrated to 99 on the published index scale (record calibration 2026-08-02).

Ownership

PydanticOrganization · verified domain
2,985 followers83 public repossince Aug 2022

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIlogfire4.41.014,566,6341906 days ago
PyPIlogfire-api4.41.0-1436 days ago

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 585 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year585
human_commit_share1
days_since_last_push0
active_weeks_last_year52

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~14.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv4.41.0
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases14.1
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

84Excellent · 17% of overall

Popularity & adoption

86Excellent
How it's scored
59.2/60Stars — 4,442 stars
20.4/25Forks — 282 forks
6.8/15Watchers — 18 watchers
Inputs used
forks282
stars4,442
watchers18
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 (MIT)
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_servicescodecov.io, github.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 14,566,634 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageslogfire
dependents—
ecosystemspypi
total_downloads—
monthly_downloads14,566,634
unverified_packages_excludedlogfire-api
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?

83Excellent · 23% of overall

Maintainer resilience (bus factor)

62Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.8/22.5Commit distribution — top contributor authored 39% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 33 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled99
top_contributor_share0.388

Issue & PR responsiveness

83Excellent
How it's scored
32.8/42Issue resolution — 78% of issues closed
26.9/30PR acceptance — 1,464/1,630 decided PRs merged
11.1/13Newcomer PR acceptance — 6/7 first-time contributors' PRs merged in 30d
12/15OpenSSF Scorecard: Code-Review — Found 24/30 approved changesets -- score normalized to 8
Inputs used
merged_prs1,464
open_issues134
closed_issues482
prs_merged_7d29
prs_decided_7d31
prs_merged_30d53
prs_decided_30d59
issue_closed_ratio0.782
closed_unmerged_prs166
first_time_authors_30d6
first_time_prs_merged_30d6
first_time_prs_decided_30d7

Ownership & stewardship

96Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 2,985 followers of pydantic
21.1/25Track record — 83 public repos, account ~4 yr old
Inputs used
followers2,985
owner_typeOrganization
is_verifiedyes
owner_loginpydantic
public_repos83
account_age_days1,480

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on pypi
35/35Publish recency — latest publish 6 days ago
20/20Version history — 190 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslogfire, logfire-api
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pydantic.dev/logfire/
10/10Repository description
10/10Topics — 16 topics
0/10Wiki
Inputs used
topicsfastapi, logging, observability, openai, opentelemetry, pydantic, python, trace, metrics, ai, ai-tools, pydantic-ai, agent-observability, ai-observability, evals, llm-observability
has_wikino
homepagehttps://pydantic.dev/logfire/
docs_sitehttps://pydantic.dev/logfire/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

81Excellent · 16% of overall

Security posture

76Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 24/30 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 33 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages22
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:logfire@4.41.0 runtime dependency closure — what installing the published package pulls in — 22 packages. 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.

94Exceptional · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md, docs/guides/web-ui/agents.md, docs/integrations/agent-frameworks/CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://pydantic.dev/llms.txt)
40/40Legible commit history — 93 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://pydantic.dev/llms.txt
legible_history_share0.93
agent_instruction_filesAGENTS.md, CLAUDE.md, docs/guides/web-ui/agents.md, docs/integrations/agent-frameworks/CLAUDE.md
agent_instruction_max_bytes9,676

Verify loop (build / test / typecheck)

92Excellent
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — logfire-api/logfire_api/py.typed, logfire/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 29 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configslogfire-api/logfire_api/py.typed, logfire/py.typed
agent_commit_share0.29
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

79Good
How it's scored
27/45Type-checkable code — Python with type-check config (logfire-api/logfire_api/py.typed, logfire/py.typed)
51.9/55Manageable file sizes — 15/263 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes287,089
source_files_sampled263
oversized_source_files15

Machine-readable interfaces

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

Key facts

4,442GitHub stars
99contributors
585commits, last 12 months
0days since last push
100releases
2bus factor
134open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 17 authors (cap 12)
  • Could not fetch npm package 'pyodide_test' from its registry
  • pypi download statistics for 'logfire-api' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 282 ⇿
0Stars
282Forks
100Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

050100150200250300281102024-042025-062026-08
Major 1Minor 64Patch 35

Each point covers 3 days.

OpenSSF Scorecard 7.6 / 10
7.6aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-08-27 13:30 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 24/30 approved changesets -- score normalized to 8
10Contributorsproject has 33 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
npmpyodide^0.29.3pyodide_test/package.json
PyPIopentelemetry-sdk>= 1.39.0, < 1.45.0pyproject.toml
PyPIopentelemetry-exporter-otlp-proto-http>= 1.39.0, < 1.45.0pyproject.toml
PyPIopentelemetry-instrumentation>= 0.41b0pyproject.toml
PyPIrich>= 13.4.2pyproject.toml
PyPIprotobuf>= 4.23.4pyproject.toml
PyPItyping-extensions>= 4.1.0pyproject.toml
PyPItomli>= 2.0.1pyproject.toml
PyPIexecuting>= 2.0.1pyproject.toml
All dependencies 277

Full resolved dependency set from the GitHub dependency graph: 9 direct and 268 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npmpyodide0.29.3direct
PyPIexecuting2.2.1direct
PyPIopentelemetry-exporter-otlp-proto-http1.44.0direct
PyPIopentelemetry-instrumentation0.65b0direct
PyPIopentelemetry-sdk1.44.0direct
PyPIprotobuf7.35.1direct
PyPIrich15.0.0direct
PyPItomli2.4.1direct
PyPItyping-extensions4.16.0direct
npm@types/emscripten1.41.5indirect
npmws8.21.0indirect
PyPIaiofile3.12.3indirect
PyPIaiofile3.9.0indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIaiosqlite0.21.0indirect
PyPIamqp5.3.1indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanthropic0.121.0indirect
PyPIanyio4.14.2indirect
PyPIasgiref3.12.1indirect
PyPIast-serialize0.8.0indirect
PyPIasttokens3.0.2indirect
PyPIasync-timeout5.0.1indirect
PyPIasyncpg0.31.0indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeartype0.22.9indirect
PyPIbilliard4.2.4indirect
PyPIblack26.5.1indirect
PyPIblinker1.9.0indirect
PyPIboto31.43.70indirect
PyPIbotocore1.43.70indirect
PyPIcachetools7.1.7indirect
PyPIcaio0.12.2indirect
PyPIcaio0.9.25indirect
PyPIcelery5.6.3indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.5.0indirect
PyPIclaude-agent-sdk0.2.137indirect
PyPIclick8.4.2indirect
PyPIclick-didyoumean0.3.1indirect
PyPIclick-plugins1.1.1.2indirect
PyPIclick-repl0.3.0indirect
PyPIcloudpickle3.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.4indirect
PyPIcryptography50.0.0indirect
PyPIdirty-equals0.11indirect
PyPIdiskcache5.6.3indirect
PyPIdistlib0.4.3indirect
PyPIdistro1.9.0indirect
PyPIdjango5.2.17indirect
PyPIdjango6.1indirect
PyPIdnspython2.8.0indirect
PyPIdocker7.2.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIdspy3.3.0indirect
PyPIelastic-transport9.4.2indirect
PyPIelasticsearch9.5.0indirect
PyPIemail-validator2.3.0indirect
PyPIeval-type-backport0.4.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfast-depends3.0.8indirect
PyPIfastapi0.141.1indirect
PyPIfastmcp-slim3.4.7indirect
PyPIfaststream0.7.4indirect
PyPIfastuuid0.14.0indirect
PyPIfilelock3.32.2indirect
PyPIflask3.1.3indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.7.0indirect
PyPIgenai-prices0.1.3indirect
PyPIgepa0.1.1indirect
PyPIgoogle-auth2.56.3indirect
PyPIgoogle-genai2.18.0indirect
PyPIgoogleapis-common-protos1.75.1indirect
PyPIgreenlet3.5.5indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhatchling—indirect
PyPIhf-xet1.6.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.10.0indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIhttpx22.10.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIhuggingface-hub1.27.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIimportlib-metadata8.9.0indirect
PyPIiniconfig2.3.0indirect
PyPIinline-snapshot0.35.4indirect
PyPIitsdangerous2.2.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.16.0indirect
PyPIjmespath1.1.0indirect
PyPIjoserfc1.7.4indirect
PyPIjson-repair0.63.1indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIkombu5.6.2indirect
PyPIlangchain1.3.15indirect
PyPIlangchain-core1.5.4indirect
PyPIlangchain-openai1.5.0indirect
PyPIlangchain-protocol0.0.18indirect
PyPIlanggraph1.2.11indirect
PyPIlanggraph-checkpoint4.2.0indirect
PyPIlanggraph-prebuilt1.1.0indirect
PyPIlanggraph-sdk0.4.2indirect
PyPIlangsmith0.10.18indirect
PyPIlibrt0.15.0indirect
PyPIlitellm1.96.2indirect
PyPIlogfire4.41.0indirect
PyPIlogfire-api4.41.0indirect
PyPIloguru0.7.3indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImcp1.29.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImultidict6.7.1indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPImysql-connector-python26.7.0indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.6indirect
PyPInumpy2.5.2indirect
PyPIopenai2.54.0indirect
PyPIopenai-agents0.20.0indirect
PyPIopeninference-instrumentation0.1.57indirect
PyPIopeninference-instrumentation-dspy0.1.39indirect
PyPIopeninference-instrumentation-litellm0.1.37indirect
PyPIopeninference-semantic-conventions0.1.32indirect
PyPIopentelemetry-api1.44.0indirect
PyPIopentelemetry-exporter-otlp-proto-common1.44.0indirect
PyPIopentelemetry-instrumentation-aiohttp-client0.65b0indirect
PyPIopentelemetry-instrumentation-aiohttp-server0.65b0indirect
PyPIopentelemetry-instrumentation-asgi0.65b0indirect
PyPIopentelemetry-instrumentation-asyncpg0.65b0indirect
PyPIopentelemetry-instrumentation-aws-lambda0.65b0indirect
PyPIopentelemetry-instrumentation-celery0.65b0indirect
PyPIopentelemetry-instrumentation-dbapi0.65b0indirect
PyPIopentelemetry-instrumentation-django0.65b0indirect
PyPIopentelemetry-instrumentation-fastapi0.65b0indirect
PyPIopentelemetry-instrumentation-flask0.65b0indirect
PyPIopentelemetry-instrumentation-google-genai0.7b1indirect
PyPIopentelemetry-instrumentation-httpx0.65b0indirect
PyPIopentelemetry-instrumentation-mysql0.65b0indirect
PyPIopentelemetry-instrumentation-psycopg0.65b0indirect
PyPIopentelemetry-instrumentation-psycopg20.65b0indirect
PyPIopentelemetry-instrumentation-pymongo0.65b0indirect
PyPIopentelemetry-instrumentation-redis0.65b0indirect
PyPIopentelemetry-instrumentation-requests0.65b0indirect
PyPIopentelemetry-instrumentation-sqlalchemy0.65b0indirect
PyPIopentelemetry-instrumentation-sqlite30.65b0indirect
PyPIopentelemetry-instrumentation-starlette0.65b0indirect
PyPIopentelemetry-instrumentation-system-metrics0.65b0indirect
PyPIopentelemetry-instrumentation-wsgi0.65b0indirect
PyPIopentelemetry-propagator-aws-xray1.0.2indirect
PyPIopentelemetry-proto1.44.0indirect
PyPIopentelemetry-semantic-conventions0.65b0indirect
PyPIopentelemetry-util-genai0.3b0indirect
PyPIopentelemetry-util-http0.65b0indirect
PyPIorjson3.11.9indirect
PyPIormsgpack1.12.2indirect
PyPIpackaging26.3indirect
PyPIpandas2.3.3indirect
PyPIpandas3.0.5indirect
PyPIpathspec1.1.1indirect
PyPIpip26.2.1indirect
PyPIplatformdirs4.11.2indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIprompt-toolkit3.0.53indirect
PyPIpropcache0.5.2indirect
PyPIpsutil7.2.2indirect
PyPIpsycopg3.3.4indirect
PyPIpsycopg-binary3.3.4indirect
PyPIpsycopg2-binary2.9.12indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpyarrow25.0.1indirect
PyPIpyarrow-stubs20.0.0.20260625indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-ai-slim2.31.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-evals2.31.0indirect
PyPIpydantic-graph2.31.0indirect
PyPIpydantic-handlebars0.2.1indirect
PyPIpydantic-settings2.15.0indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpymongo4.17.0indirect
PyPIpymysql1.2.0indirect
PyPIpyright1.1.411indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-django4.14.0indirect
PyPIpytest-examples0.0.18indirect
PyPIpytest-pretty1.3.0indirect
PyPIpytest-recording0.13.4indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.5.2indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpytokens0.4.1indirect
PyPIpytz2026.3.post1indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIredis8.1.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.7.19indirect
PyPIrequests2.34.2indirect
PyPIrequests-mock1.12.1indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.16.2indirect
PyPIs3transfer0.19.2indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools84.0.0indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsqlalchemy2.0.52indirect
PyPIsqlmodel0.0.39indirect
PyPIsqlparse0.5.5indirect
PyPIsse-starlette3.4.8indirect
PyPIstarlette1.6.0indirect
PyPIstructlog26.1.0indirect
PyPIsurrealdb2.0.0indirect
PyPItenacity9.1.4indirect
PyPItestcontainers4.12.0indirect
PyPItiktoken0.13.0indirect
PyPItokenizers0.23.1indirect
PyPItqdm4.70.0indirect
PyPItruststore0.10.4indirect
PyPItypes-requests2.33.0.20260712indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.3indirect
PyPItzlocal5.4.4indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.17.0indirect
PyPIuvicorn0.52.2indirect
PyPIvcrpy8.3.0indirect
PyPIvine5.1.0indirect
PyPIvirtualenv21.7.4indirect
PyPIwcwidth0.8.2indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.8indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt2.3.0indirect
PyPIxxhash4.0.0indirect
PyPIyarl1.24.5indirect
PyPIzipp4.1.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:logfire@4.41.0 pulls in 22 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Related records

Inspected repositories sharing catalogue tags or ecosystems with pydantic/logfire. Read them side by side →

100Arize-ai/phoenixAI Observability & EvaluationExceptional99IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.Exceptional100open-telemetry/opentelemetry-pythonOpenTelemetry Python API and SDK Exceptional99langchain-ai/langgraphBuild resilient agents.Exceptional98langchain-ai/langchainThe agent engineering platform.Exceptional100open-telemetry/opentelemetry-dotnetThe OpenTelemetry .NET ClientExceptional

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.