Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 07:40 UTC

langfuse / langfuse-python

🪢 Langfuse Python SDK

PythonMIT★ 502 stars⑂ 380 forkssince Jul 2023View on GitHub ↗

#decorators #langfuse #pydantic #pydantic-v2 #python

langfuse/langfuse-python holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Vitality (95/100) and lowest on Security (62/100). It was last updated today. 2 contributors account for most of its recent work.

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.

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)

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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

LangfuseOrganization · verified domain

1,194 followers27 public repossince May 2023

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

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish	Tags
PyPI	langfuse	5.0.4	23,563,200	560	0 days ago	langfuse llm observability tracing opentelemetry evaluation llm-as-a-judge prompt-management datasets experiments openai langchain ai-agents monitoring

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

99Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
35.3/36	Commit cadence — 51/52 weeks with commits
18/18	Commit volume — 355 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	355
human_commit_share	0.77
days_since_last_push	0
active_weeks_last_year	51

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 100 releases published
36/36	Release recency — latest release 0 days ago
27/27	Release cadence — a release every ~3.8 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	100
latest_release_tag	v5.0.4
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	3.8

Community & Adoption

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

80Excellent · 17% of overall

Popularity & adoption

69Good

How it's scored

43.8/60	Stars — 502 stars
21.5/25	Forks — 380 forks
3.9/15	Watchers — 6 watchers

Inputs used

forks	380
stars	502
watchers	6
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

77Good

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (MIT)
18/18	CONTRIBUTING guide
0/13.5	Code of conduct
0/7.2	Issue template
6.3/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	6
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

100Exceptional

How it's scored

80/80	Monthly downloads — 23,563,200 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	langfuse
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	23,563,200
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?

75Good · 23% of overall

Maintainer resilience (bus factor)

62Moderate

How it's scored

25.2/54	Bus factor — 2 contributor(s) cover half of all commits
13.8/22.5	Commit distribution — top contributor authored 39% of commits
13.5/13.5	Contributor breadth — 76 contributors
10/10	OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations

Inputs used

bus_factor	2
contributors_sampled	76
top_contributor_share	0.388

Issue & PR responsiveness

56Moderate

How it's scored

31.7/42	Issue resolution — 76% of issues closed
18.5/30	PR acceptance — 1,141/1,849 decided PRs merged
2.4/13	Newcomer PR acceptance — 2/11 first-time contributors' PRs merged in 30d
3/15	OpenSSF Scorecard: Code-Review — Found 6/26 approved changesets -- score normalized to 2

Inputs used

merged_prs	1,141
open_issues	13
closed_issues	40
prs_merged_7d	11
prs_decided_7d	35
prs_merged_30d	24
prs_decided_30d	53
issue_closed_ratio	0.755
closed_unmerged_prs	708
first_time_authors_30d	9
first_time_prs_merged_30d	2
first_time_prs_decided_30d	11

Ownership & stewardship

89Excellent

How it's scored

30/30	Ownership backing — organization-owned
20/20	Verified domain
22.1/25	Owner reach — 1,194 followers of langfuse
17.3/25	Track record — 27 public repos, account ~3 yr old

Inputs used

followers	1,194
owner_type	Organization
is_verified	yes
owner_login	langfuse
public_repos	27
account_age_days	1,244

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 0 days ago
20/20	Version history — 560 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	langfuse
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

90Excellent

How it's scored

24/24	CI workflows — 9 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
16/20	OpenSSF Scorecard: CI-Tests — 19 out of 22 merged PRs checked by a CI test -- score normalized to 8

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

65Good

How it's scored

30/30	README
0/25	Documentation directory
15/15	Documentation / homepage site — https://langfuse.com/docs/observability/sdk/overview
10/10	Repository description
10/10	Topics — 5 topics
0/10	Wiki

Inputs used

topics	decorators, langfuse, pydantic, pydantic-v2, python
has_wiki	no
homepage	https://langfuse.com/docs/observability/sdk/overview
docs_site	https://langfuse.com/docs/observability/sdk/overview
has_readme	yes
has_docs_dir	no
has_description	yes

Security

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

62Moderate · 16% of overall

Security posture

52Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
3/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
2/2.5	CI-Tests — 19 out of 22 merged PRs checked by a CI test -- score normalized to 8
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5	Code-Review — Found 6/26 approved changesets -- score normalized to 2
2.5/2.5	Contributors — project has 6 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5	Dependency-Update-Tool — update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
0/5	Packaging — no data
4/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
4.5/5	SAST — SAST tool detected but not run on all commits
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5	Vulnerabilities — 22 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	5.2

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

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	43
affected_packages	14
assessed_packages	97
unassessed_packages	0
affected_by_severity	critical 1, high 6, moderate 5, low 2
direct_affected_packages	0

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 97 resolved dependencies against OSV. 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.

87Excellent · 4% of overall

Agent context & guidance

100Exceptional

How it's scored

45/45	Agent instructions — AGENTS.md
15/15	Machine-readable docs (llms.txt) — llms.txt served by the project website (https://langfuse.com/llms.txt)
40/40	Legible commit history — 77 of 77 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://langfuse.com/llms.txt
legible_history_share	1
agent_instruction_files	AGENTS.md
agent_instruction_max_bytes	8,316

Verify loop (build / test / typecheck)

80Excellent

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — langfuse/py.typed
10/10	Reproducible environment — lockfile
10/10	Demonstrated agent practice — 15 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 23 of the last 100 commits are automated dependency updates
8/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	langfuse/py.typed
agent_commit_share	0.15
toolchain_manifests	—
dependency_bot_commit_share	0.23

Code legibility for models

81Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (langfuse/py.typed)
53.7/55	Manageable file sizes — 14/575 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	173,476
source_files_sampled	575
oversized_source_files	14

Key facts

502GitHub stars

76contributors

355commits, last 12 months

0days since last push

100releases

2bus factor

13open issues

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 20 authors (cap 12)
deps.dev does not index pypi:langfuse@5.0.4; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 380 ⇿

0Stars

380Forks

98Releases

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.

Major 1Minor 27Patch 63

Each point covers 3 days.

OpenSSF Scorecard 5.2 / 10

5.2aggregate

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 · 2026-10-21 07:39 UTC

10	Binary-Artifacts	no binaries found in the repo
4	Branch-Protection	branch protection is not maximal on development and all release branches
8	CI-Tests	19 out of 22 merged PRs checked by a CI test -- score normalized to 8
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
2	Code-Review	Found 6/26 approved changesets -- score normalized to 2
10	Contributors	project has 6 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
n/a	Packaging	packaging workflow not detected
8	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 8
9	SAST	SAST tool detected but not run on all commits
0	Security-Policy	security policy file not detected
0	Signed-Releases	Project has not signed or included provenance with any releases.
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
0	Vulnerabilities	22 existing vulnerabilities detected

Direct dependencies 9

Registry	Package	Version constraint	Manifest
PyPI	httpx	`>=0.15.4,<1.0`	pyproject.toml
PyPI	pydantic	`>=2,<3`	pyproject.toml
PyPI	backoff	`>=1.10.0`	pyproject.toml
PyPI	wrapt	`>=1.14,<3`	pyproject.toml
PyPI	packaging	`>=23.2,<27.0`	pyproject.toml
PyPI	opentelemetry-api	`>=1.45.0,<2`	pyproject.toml
PyPI	opentelemetry-sdk	`>=1.45.0,<2`	pyproject.toml
PyPI	opentelemetry-exporter-otlp-proto-http	`>=1.45.0,<2`	pyproject.toml
PyPI	typing-extensions	`>=4.12.2,<5`	pyproject.toml

All dependencies 97

Full resolved dependency set from the GitHub dependency graph: 9 direct and 88 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	backoff	`2.2.1`	direct
PyPI	httpx	`0.28.1`	direct
PyPI	opentelemetry-api	`1.45.0`	direct
PyPI	opentelemetry-exporter-otlp-proto-http	`1.45.0`	direct
PyPI	opentelemetry-sdk	`1.45.0`	direct
PyPI	packaging	`26.0`	direct
PyPI	pydantic	`2.14.0`	direct
PyPI	typing-extensions	`4.16.0`	direct
PyPI	wrapt	`1.17.3`	direct
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.12.1`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	autoevals	`0.0.130`	indirect
PyPI	certifi	`2026.2.25`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.6`	indirect
PyPI	chevron	`0.14.0`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	distro	`1.9.0`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	filelock	`3.25.2`	indirect
PyPI	gevent	`26.9.0`	indirect
PyPI	googleapis-common-protos	`1.73.0`	indirect
PyPI	greenlet	`3.5.6`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	identify	`2.6.18`	indirect
PyPI	idna	`3.15`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jiter	`0.17.0`	indirect
PyPI	jsonpatch	`1.33`	indirect
PyPI	jsonpointer	`3.1.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	langchain	`1.2.13`	indirect
PyPI	langchain-core	`1.2.22`	indirect
PyPI	langchain-openai	`1.1.12`	indirect
PyPI	langfuse	`5.0.4`	indirect
PyPI	langgraph	`1.1.3`	indirect
PyPI	langgraph-checkpoint	`4.0.1`	indirect
PyPI	langgraph-prebuilt	`1.0.8`	indirect
PyPI	langgraph-sdk	`0.3.12`	indirect
PyPI	langsmith	`0.8.0`	indirect
PyPI	librt	`0.16.0`	indirect
PyPI	markupsafe	`3.0.4`	indirect
PyPI	mypy	`1.19.1`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	openai	`2.29.0`	indirect
PyPI	opentelemetry-exporter-http-transport	`0.66b0`	indirect
PyPI	opentelemetry-exporter-otlp-common	`0.66b0`	indirect
PyPI	opentelemetry-exporter-otlp-proto-common	`1.45.0`	indirect
PyPI	opentelemetry-instrumentation	`0.66b0`	indirect
PyPI	opentelemetry-instrumentation-threading	`0.66b0`	indirect
PyPI	opentelemetry-proto	`1.45.0`	indirect
PyPI	opentelemetry-semantic-conventions	`0.66b0`	indirect
PyPI	orjson	`3.12.0`	indirect
PyPI	ormsgpack	`1.12.2`	indirect
PyPI	pathspec	`1.0.4`	indirect
PyPI	pdoc	`15.0.4`	indirect
PyPI	platformdirs	`4.9.4`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	polyleven	`0.11.0`	indirect
PyPI	pre-commit	`3.8.0`	indirect
PyPI	protobuf	`6.33.6`	indirect
PyPI	pycparser	`3.11`	indirect
PyPI	pydantic-core	`2.50.0`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pytest	`8.4.2`	indirect
PyPI	pytest-asyncio	`1.1.1`	indirect
PyPI	pytest-httpserver	`1.1.5`	indirect
PyPI	pytest-timeout	`2.4.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-discovery	`1.2.0`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.9.29`	indirect
PyPI	requests	`2.32.5`	indirect
PyPI	requests-toolbelt	`1.0.0`	indirect
PyPI	rpds-py	`2026.9.1`	indirect
PyPI	ruff	`0.15.7`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	tenacity	`9.1.4`	indirect
PyPI	tiktoken	`0.14.0`	indirect
PyPI	tqdm	`4.67.3`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uuid-utils	`0.14.1`	indirect
PyPI	virtualenv	`21.2.0`	indirect
PyPI	werkzeug	`3.1.6`	indirect
PyPI	xxhash	`4.0.1`	indirect
PyPI	zope-event	`6.2`	indirect
PyPI	zope-interface	`8.6`	indirect
PyPI	zstandard	`0.25.0`	indirect

Dependency advisories 14

This repository publishes no package the index resolves, so its own dependency graph was assessed — 97 packages, which also include development and test pins that never ship: 14 carry known advisories, of which 0 are direct.

Package	Version	Relation	Severity	Advisories	Fixed in
anyio	`4.12.1`	indirect	critical	4	`4.14.2`
certifi	`2026.2.25`	indirect	high	2	`2026.10.19`
langchain-core	`1.2.22`	indirect	high	4	`1.3.3`
langgraph-sdk	`0.3.12`	indirect	high	4	`0.4.4`
langsmith	`0.8.0`	indirect	high	1	`0.8.18`
urllib3	`2.7.0`	indirect	high	6	`2.8.0`
virtualenv	`21.2.0`	indirect	high	8	`21.7.13`
langchain	`1.2.13`	indirect	moderate	2	`1.4.6`
langgraph-checkpoint	`4.0.1`	indirect	moderate	2	`4.1.1`
pytest	`8.4.2`	indirect	moderate	2	`9.0.3`
requests	`2.32.5`	indirect	moderate	2	`2.33.0`
werkzeug	`3.1.6`	indirect	moderate	2	`3.1.9`
langchain-openai	`1.1.12`	indirect	low	2	`1.1.14`
pygments	`2.19.2`	indirect	low	2	`2.20.0`

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.

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.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

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