Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-05 20:14 UTC

decoderesearch / SAELens

Training Sparse Autoencoders on Language Models

Python · Jupyter NotebookMIT★ 1,523 stars⑂ 266 forkssince Nov 2023View on GitHub ↗

decoderesearch/SAELens holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Security (54/100). It was last updated 6 days ago. 3 contributors account for most of its recent work.

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.

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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

Decode ResearchOrganization

52 followers6 public repossince May 2024

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	sae-lens	6.50.0	39,955	257	6 days ago	deep-learning sparse-autoencoders mechanistic-interpretability pytorch

Metrics by category

Vitality

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

91Excellent · 21% of overall

Development activity

91Excellent

How it's scored

36/36	Push recency — last push 6 days ago
27/36	Commit cadence — 39/52 weeks with commits
18/18	Commit volume — 243 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	243
human_commit_share	1
days_since_last_push	6
active_weeks_last_year	39

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 100 releases published
36/36	Release recency — latest release 6 days ago
27/27	Release cadence — a release every ~6.3 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	v6.50.0
releases_from_tags	no
days_since_latest_release	6
mean_days_between_releases	6.3

Community & Adoption

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

77Good · 17% of overall

Popularity & adoption

77Good

How it's scored

51.6/60	Stars — 1,523 stars
20.2/25	Forks — 266 forks
5.3/15	Watchers — 10 watchers

Inputs used

forks	266
stars	1,523
watchers	10
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	5
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	codecov.io, github.com, shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

77Good

How it's scored

61.4/80	Monthly downloads — 39,955 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	sae-lens
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	39,955
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)

76Good

How it's scored

36/54	Bus factor — 3 contributor(s) cover half of all commits
16.2/22.5	Commit distribution — top contributor authored 28% of commits
13.5/13.5	Contributor breadth — 69 contributors
10/10	OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations

Inputs used

bus_factor	3
contributors_sampled	69
top_contributor_share	0.281

Issue & PR responsiveness

76Good

How it's scored

32/42	Issue resolution — 76% of issues closed
27.9/30	PR acceptance — 484/521 decided PRs merged
10.4/13	Newcomer PR acceptance — 4/5 first-time contributors' PRs merged in 30d
6/15	OpenSSF Scorecard: Code-Review — Found 12/30 approved changesets -- score normalized to 4

Inputs used

merged_prs	484
open_issues	44
closed_issues	142
prs_merged_7d	1
prs_decided_7d	1
prs_merged_30d	8
prs_decided_30d	9
issue_closed_ratio	0.763
closed_unmerged_prs	37
first_time_authors_30d	3
first_time_prs_merged_30d	4
first_time_prs_decided_30d	5

Ownership & stewardship

53Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
12.4/25	Owner reach — 52 followers of decoderesearch
10.7/25	Track record — 6 public repos, account ~2 yr old

Inputs used

followers	52
owner_type	Organization
is_verified	no
owner_login	decoderesearch
public_repos	6
account_age_days	829

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 6 days ago
20/20	Version history — 257 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	sae-lens
ecosystems	pypi
any_deprecated	no
min_days_since_publish	6

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 5 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
20/20	OpenSSF Scorecard: CI-Tests — 18 out of 18 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://decoderesearch.github.io/SAELens/
10/10	Repository description
0/10	Topics
10/10	Wiki

Inputs used

topics	—
has_wiki	yes
homepage	https://decoderesearch.github.io/SAELens/
docs_site	https://decoderesearch.github.io/SAELens/
has_readme	yes
has_docs_dir	yes
has_description	yes

Security

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

54Moderate · 16% of overall

Security posture

48Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
2.2/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5	CI-Tests — 18 out of 18 merged PRs checked by a CI test -- score normalized to 10
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5	Code-Review — Found 12/30 approved changesets -- score normalized to 4
2.5/2.5	Contributors — project has 11 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no 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 2 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
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
7.5/7.5	Vulnerabilities — 0 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	4.8

Dependency advisories

80Excellent

How it's scored

15.4/35	Direct dependencies free of known advisories — 1 affected: nltk 3.10.3 (high 7.0)
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
40/40	No advisories left outstanding — no advisory has been public longer than 90 days

Inputs used

source	osv
advisories	1
affected_packages	1
assessed_packages	117
unassessed_packages	0
affected_by_severity	high 1
direct_affected_packages	1

Matched the pypi:sae-lens@6.50.0 runtime dependency closure — what installing the published package pulls in — 117 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.

72Good · 4% of overall

Agent context & guidance

80Excellent

How it's scored

45/45	Agent instructions — CLAUDE.md
0/15	Machine-readable docs (llms.txt)
35.2/40	Legible commit history — 66 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.66
agent_instruction_files	CLAUDE.md
agent_instruction_max_bytes	3,641

Verify loop (build / test / typecheck)

61Moderate

How it's scored

18/18	One-command bootstrap — makefile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
0/10	Reproducible environment
10/10	Demonstrated agent practice — 6 of the last 100 commits agent-authored or agent-credited
0/8	Automated maintenance — no automated dependency updates observed
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	no
has_tests	yes
lockfiles	—
has_dockerfile	no
typed_language	no
bootstrap_files	makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.06
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

54Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
54.1/55	Manageable file sizes — 3/174 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	83,872
source_files_sampled	174
oversized_source_files	3

Machine-readable interfaces

100Exceptional

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20	MCP server — not applicable to this kind of software
40/40	Runnable examples — notebooks

Inputs used

example_dirs	notebooks
has_mcp_signal	no
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

1,523GitHub stars

69contributors

243commits, last 12 months

6days since last push

100releases

3bus factor

44open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 266 ⇿

0Stars

266Forks

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.

Major 0Minor 44Patch 56

Each point covers 3 days.

OpenSSF Scorecard 4.8 / 10

4.8aggregate

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 · 2026-09-05 20:13 UTC

10	Binary-Artifacts	no binaries found in the repo
3	Branch-Protection	branch protection is not maximal on development and all release branches
10	CI-Tests	18 out of 18 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
4	Code-Review	Found 12/30 approved changesets -- score normalized to 4
10	Contributors	project has 11 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	SAST tool is not run on all commits -- score normalized to 0
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
10	Vulnerabilities	0 existing vulnerabilities detected

Direct dependencies 14

Registry	Package	Version constraint	Manifest
PyPI	transformer-lens	`>=2.16.1`	pyproject.toml
PyPI	transformers	`>=4.38.1,<6.0.0`	pyproject.toml
PyPI	plotly	`>=5.19.0`	pyproject.toml
PyPI	plotly-express	`>=0.4.1`	pyproject.toml
PyPI	datasets	`>=3.1.0`	pyproject.toml
PyPI	babe	`^0.0.7`	pyproject.toml
PyPI	nltk	`^3.8.1`	pyproject.toml
PyPI	safetensors	`>=0.4.2,<1.0.0`	pyproject.toml
PyPI	mamba-lens	`^0.0.4`	pyproject.toml
PyPI	python-dotenv	`>=1.0.1`	pyproject.toml
PyPI	pyyaml	`^6.0.1`	pyproject.toml
PyPI	typing-extensions	`^4.10.0`	pyproject.toml
PyPI	simple-parsing	`^0.1.8`	pyproject.toml
PyPI	tenacity	`>=9.0.0`	pyproject.toml

All dependencies 248

Full resolved dependency set from the GitHub dependency graph: 14 direct and 234 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	babe	`0.0.7`	direct
PyPI	datasets	`5.0.1`	direct
PyPI	mamba-lens	`0.0.4`	direct
PyPI	nltk	`3.10.3`	direct
PyPI	plotly	`7.0.0`	direct
PyPI	plotly-express	`0.4.1`	direct
PyPI	python-dotenv	`1.2.3`	direct
PyPI	pyyaml	`6.0.3`	direct
PyPI	safetensors	`0.8.0`	direct
PyPI	simple-parsing	`0.1.9`	direct
PyPI	tenacity	`9.1.4`	direct
PyPI	transformer-lens	`3.8.0`	direct
PyPI	transformers	`5.16.1`	direct
PyPI	typing-extensions	`4.16.0`	direct
PyPI	accelerate	`1.14.0`	indirect
PyPI	aiohappyeyeballs	`2.7.1`	indirect
PyPI	aiohttp	`3.14.3`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	annotated-doc	`0.0.5`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	ansible-compat	`26.6.0`	indirect
PyPI	ansible-core	`2.17.14`	indirect
PyPI	ansible-lint	`24.12.2`	indirect
PyPI	anyio	`4.14.2`	indirect
PyPI	appnope	`1.0.0`	indirect
PyPI	asttokens	`3.0.2`	indirect
PyPI	async-timeout	`5.0.1`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backrefs	`8.0`	indirect
PyPI	beartype	`0.22.9`	indirect
PyPI	beautifulsoup4	`4.15.0`	indirect
PyPI	better-abc	`0.0.3`	indirect
PyPI	bidict	`0.23.1`	indirect
PyPI	black	`26.5.1`	indirect
PyPI	boto3	`1.43.83`	indirect
PyPI	botocore	`1.43.83`	indirect
PyPI	bracex	`3.0.1`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.5.1`	indirect
PyPI	choreographer	`1.3.0`	indirect
PyPI	circuitsvis	`1.43.3`	indirect
PyPI	click	`8.5.0`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	config2py	`0.1.50`	indirect
PyPI	coverage	`7.16.0`	indirect
PyPI	cryptography	`50.0.1`	indirect
PyPI	cuda-bindings	`13.3.1`	indirect
PyPI	cuda-pathfinder	`1.8.0`	indirect
PyPI	cuda-toolkit	`13.0.3`	indirect
PyPI	debugpy	`1.8.21`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	dictionary-learning	`0.1.0`	indirect
PyPI	diffusers	`0.40.0`	indirect
PyPI	dill	`0.4.1`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	docstr-coverage	`2.3.2`	indirect
PyPI	docstring-parser	`0.18.0`	indirect
PyPI	dol	`0.3.65`	indirect
PyPI	eai-sparsify	`1.3.3`	indirect
PyPI	einops	`0.8.2`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fancy-einsum	`0.0.3`	indirect
PyPI	filelock	`3.32.4`	indirect
PyPI	formulaic	`1.2.2`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2026.6.0`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	gprof2dot	`2025.4.14`	indirect
PyPI	graze	`0.1.44`	indirect
PyPI	griffe	`1.15.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hf-xet	`1.6.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	huggingface-hub	`1.29.0`	indirect
PyPI	i2	`0.1.67`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.19`	indirect
PyPI	importlib-metadata	`9.0.1`	indirect
PyPI	importlib-resources	`7.1.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	interface-meta	`2.0.1`	indirect
PyPI	ipykernel	`7.3.0`	indirect
PyPI	ipython	`8.39.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	jaxtyping	`0.3.7`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jmespath	`1.1.0`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-client	`8.10.0`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	kaleido	`1.3.0`	indirect
PyPI	llvmlite	`0.49.0`	indirect
PyPI	logistro	`2.0.1`	indirect
PyPI	markdown	`3.10.3`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mike	`2.2.0`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.4`	indirect
PyPI	mkdocs-get-deps	`0.2.2`	indirect
PyPI	mkdocs-material	`9.7.7`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocs-redirects	`1.2.3`	indirect
PyPI	mkdocs-section-index	`0.3.12`	indirect
PyPI	mkdocstrings	`0.25.2`	indirect
PyPI	mkdocstrings-python	`1.10.9`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	multiprocess	`0.70.19`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	narwhals	`2.25.0`	indirect
PyPI	natsort	`8.4.0`	indirect
PyPI	nest-asyncio2	`1.7.2`	indirect
PyPI	networkx	`3.4.2`	indirect
PyPI	nnsight	`0.3.7`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	numba	`0.67.0`	indirect
PyPI	numpy	`2.2.6`	indirect
PyPI	nvidia-cublas	`13.1.1.3`	indirect
PyPI	nvidia-cuda-cupti	`13.0.85`	indirect
PyPI	nvidia-cuda-nvrtc	`13.0.88`	indirect
PyPI	nvidia-cuda-runtime	`13.0.96`	indirect
PyPI	nvidia-cudnn-cu13	`9.20.0.48`	indirect
PyPI	nvidia-cufft	`12.0.0.61`	indirect
PyPI	nvidia-cufile	`1.15.1.6`	indirect
PyPI	nvidia-curand	`10.4.0.35`	indirect
PyPI	nvidia-cusolver	`12.0.4.66`	indirect
PyPI	nvidia-cusparse	`12.6.3.3`	indirect
PyPI	nvidia-cusparselt-cu13	`0.8.1`	indirect
PyPI	nvidia-nccl-cu13	`2.29.7`	indirect
PyPI	nvidia-nvjitlink	`13.3.33`	indirect
PyPI	nvidia-nvshmem-cu13	`3.4.5`	indirect
PyPI	nvidia-nvtx	`13.0.85`	indirect
PyPI	opentelemetry-api	`1.44.0`	indirect
PyPI	orjson	`3.12.0`	indirect
PyPI	outcome	`1.3.0.post0`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pandas	`2.3.3`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	patsy	`1.0.3`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.11.5`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`3.8.0`	indirect
PyPI	prompt-toolkit	`3.0.53`	indirect
PyPI	propcache	`0.5.2`	indirect
PyPI	properdocs	`1.6.7`	indirect
PyPI	protobuf	`7.36.0`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	py2store	`0.1.22`	indirect
PyPI	pyarrow	`25.0.1`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`2.13.5`	indirect
PyPI	pydantic-core	`2.46.5`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pymdown-extensions	`11.0.2`	indirect
PyPI	pynndescent	`0.6.0`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyright	`1.1.365`	indirect
PyPI	pytest	`8.4.2`	indirect
PyPI	pytest-cov	`4.1.0`	indirect
PyPI	pytest-profiling	`1.8.1`	indirect
PyPI	pytest-randomly	`4.1.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.6.0`	indirect
PyPI	python-engineio	`4.13.5`	indirect
PyPI	python-socketio	`5.16.4`	indirect
PyPI	pytokens	`0.4.1`	indirect
PyPI	pytz	`2026.3.post1`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	pyzmq	`27.2.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.7.19`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	resolvelib	`1.0.1`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	ruamel-yaml	`0.19.1`	indirect
PyPI	ruff	`0.7.4`	indirect
PyPI	s3transfer	`0.19.2`	indirect
PyPI	schedulefree	`1.4.1`	indirect
PyPI	scikit-learn	`1.7.2`	indirect
PyPI	scipy	`1.15.3`	indirect
PyPI	sentencepiece	`0.2.2`	indirect
PyPI	sentry-sdk	`2.68.1`	indirect
PyPI	setuptools	`84.0.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	simple-websocket	`1.1.0`	indirect
PyPI	simplejson	`4.1.2`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	soupsieve	`2.9.2`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	statsmodels	`0.15.0`	indirect
PyPI	subprocess-tee	`0.4.2`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tokenizers	`0.23.1`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	torch	`2.13.0`	indirect
PyPI	torchvision	`0.12.0`	indirect
PyPI	tornado	`6.5.8`	indirect
PyPI	tqdm	`4.70.0`	indirect
PyPI	traitlets	`5.16.1`	indirect
PyPI	transformers-stream-generator	`0.0.5`	indirect
PyPI	trio	`0.30.0`	indirect
PyPI	triton	`3.7.1`	indirect
PyPI	typeguard	`4.6.0`	indirect
PyPI	typer	`0.27.2`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	tzdata	`2026.3`	indirect
PyPI	umap-learn	`0.5.12`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	verspec	`0.1.0`	indirect
PyPI	virtualenv	`21.7.7`	indirect
PyPI	wadler-lindig	`0.1.7`	indirect
PyPI	wandb	`0.29.0`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wcmatch	`11.0.1`	indirect
PyPI	wcwidth	`0.8.3`	indirect
PyPI	websocket-client	`1.9.1`	indirect
PyPI	wrapt	`2.4.0`	indirect
PyPI	wsproto	`1.3.2`	indirect
PyPI	xxhash	`4.0.1`	indirect
PyPI	yamllint	`1.38.0`	indirect
PyPI	yarl	`1.24.5`	indirect
PyPI	zipp	`4.1.0`	indirect
PyPI	zstandard	`0.25.0`	indirect

Dependency advisories 1

Installing pypi:sae-lens@6.50.0 pulls in 117 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

Package	Version	Relation	Severity	Advisories	Fixed in
nltk	`3.10.3`	direct	high	1	—

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.

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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.

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