Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 07:26 UTC

graspologic-org / graspologic-native

graspologic-native is a library of rust components to add additional capability to graspologic a python library for intelligently building networks and network embeddings, and for analyzing connected data.

RustMIT★ 23 stars⑂ 10 forkssince Jun 2020View on GitHub ↗

KindLibraryCommand-line toolhow this is determined

graspologic-org/graspologic-native holds a health index of 59 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (68/100) and lowest on Vitality (43/100). It was last updated 95 days ago. A single contributor accounts for most of its recent work.

overall / 100

Moderate

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 56 is calibrated to 59 on the published index scale (record calibration 2026-08-02).

Ownership

graspologic-orgOrganization

11 followers2 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
crates.io	clipoints to another repo — not scored	0.0.1	71	1	4210 days ago
PyPI	graspologic-native	1.3.1	210,097	58	95 days ago

Metrics by category

Vitality

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

43Weak · 21% of overall

Development activity

23At Risk

How it's scored

9.9/36	Push recency — last push 95 days ago
2.1/36	Commit cadence — 3/52 weeks with commits
10.8/18	Commit volume — 15 commits in the last year
0/10	OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0

Inputs used

commits_last_year	15
human_commit_share	1
days_since_last_push	95
active_weeks_last_year	3

Release discipline

74Good

How it's scored

27/27	Ships releases — 59 releases published
27/36	Release recency — latest release 95 days ago
19.8/27	Release cadence — a release every ~52.7 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	59
latest_release_tag	v1.3.1
releases_from_tags	no
days_since_latest_release	95
mean_days_between_releases	52.7

Community & Adoption

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

58Moderate · 17% of overall

Popularity & adoption

32At Risk

How it's scored

21.8/60	Stars — 23 stars
8/25	Forks — 10 forks
1.7/15	Watchers — 3 watchers

Inputs used

forks	10
stars	23
watchers	3
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

65Good

How it's scored

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

Inputs used

has_readme	yes
has_license	yes
readme_badges	0
has_contributing	no
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	—
has_pull_request_template	no

Ecosystem adoption (downloads)

89Excellent

How it's scored

71/80	Monthly downloads — 210,097 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	graspologic-native
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	210,097
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?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

26At Risk

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
2.9/22.5	Commit distribution — top contributor authored 87% of commits
10.8/13.5	Contributor breadth — 8 contributors
3/10	OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3

Inputs used

bus_factor	1
contributors_sampled	8
top_contributor_share	0.87

Issue & PR responsiveness

83Excellent

How it's scored

39.9/42	Issue resolution — 95% of issues closed
27.7/30	PR acceptance — 49/53 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
4.5/15	OpenSSF Scorecard: Code-Review — Found 8/23 approved changesets -- score normalized to 3

Inputs used

merged_prs	49
open_issues	1
closed_issues	19
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	0
prs_decided_30d	0
issue_closed_ratio	0.95
closed_unmerged_prs	4
first_time_authors_30d	0
first_time_prs_merged_30d	0
first_time_prs_decided_30d	0

Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

46Weak

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
7.8/25	Owner reach — 11 followers of graspologic-org
8.2/25	Track record — 2 public repos, account ~2 yr old

Inputs used

followers	11
owner_type	Organization
is_verified	no
owner_login	graspologic-org
public_repos	2
account_age_days	859

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 95 days ago
20/20	Version history — 58 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	graspologic-native
ecosystems	pypi
any_deprecated	no
min_days_since_publish	95

Engineering Quality

Are baseline engineering and documentation practices in place?

68Good · 19% of overall

Engineering practices

70Good

How it's scored

24/24	CI workflows — 2 workflow(s)
24/24	Tests present
16/16	Linter config — .rustfmt.toml, clippy.toml
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
6/20	OpenSSF Scorecard: CI-Tests — 7 out of 20 merged PRs checked by a CI test -- score normalized to 3

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	no

Documentation

65Good

How it's scored

30/30	README
0/25	Documentation directory
15/15	Documentation / homepage site — https://github.com/graspologic-org/graspologic
10/10	Repository description
0/10	Topics
10/10	Wiki

Inputs used

topics	—
has_wiki	yes
homepage	https://github.com/graspologic-org/graspologic
docs_site	https://github.com/graspologic-org/graspologic
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?

51Moderate · 16% of overall

Security posture

39Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0.8/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
0.8/2.5	CI-Tests — 7 out of 20 merged PRs checked by a CI test -- score normalized to 3
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5	Code-Review — Found 8/23 approved changesets -- score normalized to 3
0.8/2.5	Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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
0/7.5	Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
5/5	Security-Policy — security policy file 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
6.8/7.5	Vulnerabilities — 1 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	3.9

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	2
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:graspologic-native@1.3.1 runtime dependency closure — what installing the published package pulls in — 2 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.

65Good · 4% of overall

Agent context & guidance

31At Risk

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
30.9/40	Legible commit history — 58 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.58
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

77Good

How it's scored

12.6/18	One-command bootstrap — Cargo.toml, packages/cli/Cargo.toml, packages/network_partitions/Cargo.toml (toolchain convention, no task runner)
22/22	Automated tests
11/11	Lint / format config — .rustfmt.toml, clippy.toml
11/11	Static type checking — packages/pyo3/py.typed
10/10	Reproducible environment — lockfile
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	Cargo.lock
has_dockerfile	no
typed_language	yes
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	packages/pyo3/py.typed
agent_commit_share	0.06
toolchain_manifests	Cargo.toml, packages/cli/Cargo.toml, packages/network_partitions/Cargo.toml, packages/pyo3/Cargo.toml
dependency_bot_commit_share	0

Code legibility for models

100Exceptional

How it's scored

45/45	Type-checkable code — Rust (statically typed)
55/55	Manageable file sizes — 0/37 source files over 60KB

Inputs used

primary_language	Rust
largest_source_bytes	23,541
source_files_sampled	37
oversized_source_files	0

Key facts

23GitHub stars

8contributors

15commits, last 12 months

95days since last push

59releases

1bus factor

1open issues

crates.iopackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
crates package 'cli' points at a different repository (https://github.com/fengsp/cli); excluded from ecosystem scoring
Could not fetch crates package 'graspologic_native' from its registry
pypi download statistics for 'graspologic-native' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
Could not fetch crates package 'network_partitions' from its registry
pypi download figures for graspologic-native carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 10 ⇿

0Stars

10Forks

40Releases

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 1Patch 7

Each point covers 5 days.

OpenSSF Scorecard 3.9 / 10

3.9aggregate

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 · 2026-09-17 07:25 UTC

10	Binary-Artifacts	no binaries found in the repo
1	Branch-Protection	branch protection is not maximal on development and all release branches
3	CI-Tests	7 out of 20 merged PRs checked by a CI test -- score normalized to 3
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
3	Code-Review	Found 8/23 approved changesets -- score normalized to 3
3	Contributors	project has 1 contributing companies or organizations -- score normalized to 3
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
0	Maintained	0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
10	Security-Policy	security policy file detected
0	Signed-Releases	Project has not signed or included provenance with any releases.
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
9	Vulnerabilities	1 existing vulnerabilities detected

Direct dependencies 12

Registry	Package	Version constraint	Manifest
crates.io	clap	`4`	packages/cli/Cargo.toml
crates.io	rand	`0.10`	packages/cli/Cargo.toml
crates.io	network_partitions	`—`	packages/cli/Cargo.toml
crates.io	rand	`0.10`	packages/network_partitions/Cargo.toml
crates.io	petgraph	`0.8`	packages/network_partitions/Cargo.toml
crates.io	sprs	`0.11`	packages/network_partitions/Cargo.toml
crates.io	rand	`0.10`	packages/pyo3/Cargo.toml
crates.io	numpy	`0.29`	packages/pyo3/Cargo.toml
crates.io	network_partitions	`—`	packages/pyo3/Cargo.toml
crates.io	pyo3	`0.29`	packages/pyo3/Cargo.toml
PyPI	numpy	`>=1.24`	packages/pyo3/pyproject.toml
PyPI	scipy	`>=1.10`	packages/pyo3/pyproject.toml

All dependencies 114

Full resolved dependency set from the GitHub dependency graph: 14 direct and 100 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
crates.io	clap	`—`	direct
crates.io	clap	`4.6.1`	direct
crates.io	numpy	`—`	direct
crates.io	numpy	`0.29.0`	direct
crates.io	petgraph	`—`	direct
crates.io	petgraph	`0.8.3`	direct
crates.io	pyo3	`—`	direct
crates.io	pyo3	`0.29.0`	direct
crates.io	rand	`—`	direct
crates.io	rand	`0.10.1`	direct
crates.io	sprs	`—`	direct
crates.io	sprs	`0.11.4`	direct
PyPI	numpy	`—`	direct
PyPI	scipy	`—`	direct
crates.io	anstream	`1.0.0`	indirect
crates.io	anstyle	`1.0.14`	indirect
crates.io	anstyle-parse	`1.0.0`	indirect
crates.io	anstyle-query	`1.1.5`	indirect
crates.io	anstyle-wincon	`3.0.11`	indirect
crates.io	anyhow	`1.0.102`	indirect
crates.io	autocfg	`1.5.1`	indirect
crates.io	bitflags	`2.13.0`	indirect
crates.io	cfg-if	`1.0.4`	indirect
crates.io	chacha20	`0.10.0`	indirect
crates.io	clap_builder	`4.6.0`	indirect
crates.io	clap_lex	`1.1.0`	indirect
crates.io	colorchoice	`1.0.5`	indirect
crates.io	cpufeatures	`0.3.0`	indirect
crates.io	equivalent	`1.0.2`	indirect
crates.io	fixedbitset	`0.5.7`	indirect
crates.io	foldhash	`0.1.5`	indirect
crates.io	getrandom	`0.4.2`	indirect
crates.io	hashbrown	`0.15.5`	indirect
crates.io	hashbrown	`0.17.1`	indirect
crates.io	heck	`0.5.0`	indirect
crates.io	id-arena	`2.3.0`	indirect
crates.io	indexmap	`2.14.0`	indirect
crates.io	is_terminal_polyfill	`1.70.2`	indirect
crates.io	itoa	`1.0.18`	indirect
crates.io	leb128fmt	`0.1.0`	indirect
crates.io	libc	`0.2.186`	indirect
crates.io	log	`0.4.32`	indirect
crates.io	matrixmultiply	`0.3.10`	indirect
crates.io	memchr	`2.8.2`	indirect
crates.io	ndarray	`0.17.2`	indirect
crates.io	num-complex	`0.4.6`	indirect
crates.io	num-integer	`0.1.46`	indirect
crates.io	num-traits	`0.2.19`	indirect
crates.io	once_cell	`1.21.4`	indirect
crates.io	once_cell_polyfill	`1.70.2`	indirect
crates.io	portable-atomic	`1.13.1`	indirect
crates.io	portable-atomic-util	`0.2.7`	indirect
crates.io	prettyplease	`0.2.37`	indirect
crates.io	proc-macro2	`1.0.106`	indirect
crates.io	pyo3-build-config	`0.29.0`	indirect
crates.io	pyo3-ffi	`0.29.0`	indirect
crates.io	pyo3-macros	`0.29.0`	indirect
crates.io	pyo3-macros-backend	`0.29.0`	indirect
crates.io	quote	`1.0.45`	indirect
crates.io	r-efi	`6.0.0`	indirect
crates.io	rand_core	`0.10.1`	indirect
crates.io	rawpointer	`0.2.1`	indirect
crates.io	rustc-hash	`2.1.2`	indirect
crates.io	semver	`1.0.28`	indirect
crates.io	serde	`1.0.228`	indirect
crates.io	serde_core	`1.0.228`	indirect
crates.io	serde_derive	`1.0.228`	indirect
crates.io	serde_json	`1.0.150`	indirect
crates.io	smallvec	`1.15.2`	indirect
crates.io	strsim	`0.11.1`	indirect
crates.io	syn	`2.0.117`	indirect
crates.io	target-lexicon	`0.13.5`	indirect
crates.io	unicode-ident	`1.0.24`	indirect
crates.io	unicode-xid	`0.2.6`	indirect
crates.io	utf8parse	`0.2.2`	indirect
crates.io	wasip2	`1.0.4+wasi-0.2.12`	indirect
crates.io	wasip3	`0.4.0+wasi-0.3.0-rc-2026-01-06`	indirect
crates.io	wasm-encoder	`0.244.0`	indirect
crates.io	wasm-metadata	`0.244.0`	indirect
crates.io	wasmparser	`0.244.0`	indirect
crates.io	windows-link	`0.2.1`	indirect
crates.io	windows-sys	`0.61.2`	indirect
crates.io	wit-bindgen	`0.51.0`	indirect
crates.io	wit-bindgen	`0.57.1`	indirect
crates.io	wit-bindgen-core	`0.51.0`	indirect
crates.io	wit-bindgen-rust	`0.51.0`	indirect
crates.io	wit-bindgen-rust-macro	`0.51.0`	indirect
crates.io	wit-component	`0.244.0`	indirect
crates.io	wit-parser	`0.244.0`	indirect
crates.io	zmij	`1.0.21`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	asttokens	`3.0.0`	indirect
PyPI	backcall	`0.2.0`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	decorator	`5.1.1`	indirect
PyPI	executing	`2.1.0`	indirect
PyPI	graspologic-native	`1.2.3`	indirect
PyPI	ipython	`8.12.3`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	matplotlib-inline	`0.1.7`	indirect
PyPI	maturin	`—`	indirect
PyPI	networkx	`3.0`	indirect
PyPI	parso	`0.8.4`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pickleshare	`0.7.5`	indirect
PyPI	prompt-toolkit	`3.0.48`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pygments	`2.19.1`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	typing-extensions	`4.12.2`	indirect
PyPI	wcwidth	`0.2.13`	indirect
PyPI	wheel	`—`	indirect

Dependency advisories 0

Installing pypi:graspologic-native@1.3.1 pulls in 2 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.

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 — crates.io, PyPI.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

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