Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-25 10:48 UTC

PrimeIntellect-ai / prime

Official CLI and Python SDK for Prime Intellect - access GPU compute, remote sandboxes, RL environments, and distributed training infrastructure for AI development at scale.

PythonMIT★ 339 stars⑂ 75 forkssince Dec 2024View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

PrimeIntellect-ai/prime holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on Security (62/100). It was last updated today. 2 contributors account for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

Prime IntellectOrganization
1,551 followers67 public repossince Oct 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIprime0.17.029,3521934 days agoclicloudcomputegpu
PyPIprime-runs0.1.4424,285517 days agoevalsevaluationsobservabilityrunstracestraining
PyPIprime-evals0.2.429,8151839 days agoevalsevaluations
PyPIprime-traces0.0.10434,4721010 days agoevalsobservabilityrolloutstraces
PyPIprime-tunnel0.1.151,465,2661610 days agofrpnetworkingreverse-proxysdktunnel
PyPIprime-sandboxes0.5.01,549,552574 days agocloudcontainersremote-executionsandboxessdk

Metrics by category

Vitality

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

96Exceptional · 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 — 670 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year670
human_commit_share1
days_since_last_push0
active_weeks_last_year52

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~1.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv0.17.0
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases1.4

Community & Adoption

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

67Good · 17% of overall

Popularity & adoption

61Moderate
How it's scored
41/60Stars — 339 stars
15.6/25Forks — 75 forks
4.3/15Watchers — 7 watchers
Inputs used
forks75
stars339
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 3,932,742 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesprime, prime-runs, prime-evals, prime-traces, prime-tunnel, prime-sandboxes
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,932,742
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?

76Good · 23% of overall

Maintainer resilience (bus factor)

64Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
15/22.5Commit distribution — top contributor authored 33% of commits
13.5/13.5Contributor breadth — 37 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled37
top_contributor_share0.332

Issue & PR responsiveness

75Good
How it's scored
29.9/42Issue resolution — 71% of issues closed
24/30PR acceptance — 813/1,016 decided PRs merged
6.5/13Newcomer PR acceptance — 2/4 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs813
open_issues11
closed_issues27
prs_merged_7d15
prs_decided_7d22
prs_merged_30d43
prs_decided_30d60
issue_closed_ratio0.711
closed_unmerged_prs203
first_time_authors_30d3
first_time_prs_merged_30d2
first_time_prs_decided_30d4

Ownership & stewardship

72Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
22.9/25Owner reach — 1,551 followers of PrimeIntellect-ai
19.1/25Track record — 67 public repos, account ~3 yr old
Inputs used
followers1,551
owner_typeOrganization
is_verifiedno
owner_loginPrimeIntellect-ai
public_repos67
account_age_days1,105

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 6 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 193 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesprime, prime-runs, prime-evals, prime-traces, prime-tunnel, prime-sandboxes
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 8 workflow(s)
24/24Tests present
16/16Linter config — packages/prime-evals/pyproject.toml ([tool.ruff]), packages/prime-runs/pyproject.toml ([tool.ruff]), packages/prime-sandboxes/pyproject.toml ([tool.ruff]), packages/prime-traces/pyproject.toml ([tool.ruff]), packages/prime-tunnel/pyproject.toml ([tool.ruff]), packages/prime/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

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://github.com/PrimeIntellect-ai/prime#readme
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://github.com/PrimeIntellect-ai/prime#readme
has_readmeyes
has_docs_dirno
has_descriptionyes

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
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 103 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.2

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_packages48
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:prime@0.17.0 runtime dependency closure — what installing the published package pulls in — 48 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

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)

65Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — packages/prime-evals/pyproject.toml ([tool.ruff]), packages/prime-runs/pyproject.toml ([tool.ruff]), packages/prime-sandboxes/pyproject.toml ([tool.ruff]), packages/prime-traces/pyproject.toml ([tool.ruff]), packages/prime-tunnel/pyproject.toml ([tool.ruff]), packages/prime/pyproject.toml ([tool.ruff])
11/11Static type checking — packages/prime-evals/src/prime_evals/py.typed, packages/prime-runs/src/prime_runs/py.typed, packages/prime-sandboxes/src/prime_sandboxes/py.typed, packages/prime-traces/src/prime_traces/py.typed, packages/prime-tunnel/src/prime_tunnel/py.typed, packages/prime/src/prime_cli/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 42 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configspackages/prime-evals/src/prime_evals/py.typed, packages/prime-runs/src/prime_runs/py.typed, packages/prime-sandboxes/src/prime_sandboxes/py.typed, packages/prime-traces/src/prime_traces/py.typed, packages/prime-tunnel/src/prime_tunnel/py.typed, packages/prime/src/prime_cli/py.typed
agent_commit_share0.42
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (packages/prime-evals/src/prime_evals/py.typed, packages/prime-runs/src/prime_runs/py.typed, packages/prime-sandboxes/src/prime_sandboxes/py.typed, packages/prime-traces/src/prime_traces/py.typed, packages/prime-tunnel/src/prime_tunnel/py.typed, packages/prime/src/prime_cli/py.typed)
52.7/55Manageable file sizes — 12/282 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes244,122
source_files_sampled282
oversized_source_files12

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

339GitHub stars
37contributors
670commits, last 12 months
0days since last push
100releases
2bus factor
11open 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 14 authors (cap 12)

More detail

Star and fork history 0 ★ / 75 ⇿
0Stars
75Forks
95Releases

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.

01325385063757432025-012025-112026-10
Major 0Minor 7Patch 88

Each point covers 2 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 · 2026-10-25 10:48 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-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
10Code-Reviewall changesets reviewed
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities103 existing vulnerabilities detected
Direct dependencies 33
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.25.0packages/prime-evals/pyproject.toml
PyPIpydantic>=2.0.0packages/prime-evals/pyproject.toml
PyPItenacity>=9.1.2packages/prime-evals/pyproject.toml
PyPIhttpx>=0.25.0packages/prime-runs/pyproject.toml
PyPIprime-traces>=0.0.3packages/prime-runs/pyproject.toml
PyPIhttpx>=0.25.0packages/prime-sandboxes/pyproject.toml
PyPIpydantic>=2.0.0packages/prime-sandboxes/pyproject.toml
PyPIaiofiles>=23.0.0packages/prime-sandboxes/pyproject.toml
PyPItenacity>=8.0.0packages/prime-sandboxes/pyproject.toml
PyPIconnectrpc>=0.11.1,<0.12packages/prime-sandboxes/pyproject.toml
PyPIprotobuf>=6.31.1packages/prime-sandboxes/pyproject.toml
PyPIpyqwest>=0.6.0packages/prime-sandboxes/pyproject.toml
PyPIcertifi—packages/prime-sandboxes/pyproject.toml
PyPIhttpx>=0.25.0packages/prime-traces/pyproject.toml
PyPIpydantic>=2.0.0packages/prime-traces/pyproject.toml
PyPIhttpx>=0.25.0packages/prime-tunnel/pyproject.toml
PyPIpydantic>=2.0.0packages/prime-tunnel/pyproject.toml
PyPItenacity>=8.0.0packages/prime-tunnel/pyproject.toml
PyPIprime-sandboxes>=0.5.0packages/prime/pyproject.toml
PyPIprime-evals>=0.2.4packages/prime/pyproject.toml
PyPIprime-traces>=0.0.10packages/prime/pyproject.toml
PyPIprime-tunnel>=0.1.11packages/prime/pyproject.toml
PyPIhttpx>=0.25.0packages/prime/pyproject.toml
PyPIpydantic>=2.0.0packages/prime/pyproject.toml
PyPItyper>=0.9.0,<0.26packages/prime/pyproject.toml
PyPIrich>=13.3.1packages/prime/pyproject.toml
PyPIcryptography>=41.0.0packages/prime/pyproject.toml
PyPIbuild>=1.0.0packages/prime/pyproject.toml
PyPIgitignore-parser>=0.1.13packages/prime/pyproject.toml
PyPIpyyaml>=6.0.0packages/prime/pyproject.toml
PyPItoml>=0.10.0packages/prime/pyproject.toml
PyPItomli>=2.0.0packages/prime/pyproject.toml
PyPIboto3>=1.34.0packages/prime/pyproject.toml
All dependencies 144

Full resolved dependency set from the GitHub dependency graph: 26 direct and 118 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiofiles25.1.0direct
PyPIboto31.43.107direct
PyPIbuild1.3.0direct
PyPIcertifi2026.10.19direct
PyPIconnectrpc0.11.1direct
PyPIcryptography46.0.1direct
PyPIcryptography46.0.2direct
PyPIgitignore-parser0.1.13direct
PyPIhttpx—direct
PyPIhttpx0.28.1direct
PyPIprime-sandboxes0.1.0direct
PyPIprime-traces—direct
PyPIprotobuf6.33.5direct
PyPIpydantic—direct
PyPIpydantic2.11.9direct
PyPIpydantic2.12.0direct
PyPIpyqwest0.8.0direct
PyPIpyyaml6.0.3direct
PyPIrich14.1.0direct
PyPIrich14.2.0direct
PyPItenacity—direct
PyPItenacity9.1.2direct
PyPItoml0.10.2direct
PyPItomli2.2.1direct
PyPItomli2.3.0direct
PyPItyper0.19.2direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.12.15indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.11.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.3.0indirect
PyPIbotocore1.43.107indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.4.0indirect
PyPIcharset-normalizer3.4.3indirect
PyPIclick8.2.1indirect
PyPIclick8.3.0indirect
PyPIcolorama0.4.6indirect
PyPIdatasets4.1.1indirect
PyPIdill0.4.0indirect
PyPIdistlib0.4.0indirect
PyPIdistro1.9.0indirect
PyPIexceptiongroup1.3.0indirect
PyPIexecnet2.1.1indirect
PyPIfilelock3.19.1indirect
PyPIfilelock3.20.0indirect
PyPIfrozenlist1.7.0indirect
PyPIfsspec2025.9.0indirect
PyPIgriffe1.14.0indirect
PyPIh110.16.0indirect
PyPIhatchling—indirect
PyPIhf-xet1.1.10indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx-sse0.4.1indirect
PyPIhuggingface-hub0.35.3indirect
PyPIidentify2.6.14indirect
PyPIidentify2.6.15indirect
PyPIidna3.10indirect
PyPIimportlib-metadata8.7.0indirect
PyPIiniconfig2.1.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.11.0indirect
PyPIjmespath1.1.0indirect
PyPIjsonschema4.25.1indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlinkify-it-py2.0.3indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImcp1.15.0indirect
PyPImdit-py-plugins0.5.0indirect
PyPImdurl0.1.2indirect
PyPImultidict6.6.4indirect
PyPImultiprocess0.70.16indirect
PyPInest-asyncio1.6.0indirect
PyPInodeenv1.9.1indirect
PyPInumpy2.2.6indirect
PyPInumpy2.3.3indirect
PyPIopenai1.109.1indirect
PyPIopenai-agents0.3.2indirect
PyPIopentelemetry-api1.39.1indirect
PyPIpackaging25.0indirect
PyPIpandas2.3.3indirect
PyPIplatformdirs4.4.0indirect
PyPIplatformdirs4.5.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.3.0indirect
PyPIprime0.4.0indirect
PyPIpropcache0.3.2indirect
PyPIprotobuf-py0.1.1indirect
PyPIprotobuf-py-ext0.1.1indirect
PyPIpyarrow—indirect
PyPIpyarrow21.0.0indirect
PyPIpyarrow24.0.0indirect
PyPIpycparser2.23indirect
PyPIpydantic-core2.33.2indirect
PyPIpydantic-core2.41.1indirect
PyPIpydantic-settings2.11.0indirect
PyPIpygments2.19.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest—indirect
PyPIpytest8.4.2indirect
PyPIpytest-asyncio—indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-xdist—indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.1.1indirect
PyPIpython-multipart0.0.20indirect
PyPIpytz2025.2indirect
PyPIpywin32311indirect
PyPIreferencing0.36.2indirect
PyPIrequests2.32.5indirect
PyPIrpds-py0.27.1indirect
PyPIruff—indirect
PyPIruff0.13.2indirect
PyPIruff0.14.0indirect
PyPIs3transfer0.19.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsse-starlette3.0.2indirect
PyPIstarlette0.48.0indirect
PyPItextual6.1.0indirect
PyPItqdm4.67.1indirect
PyPIty0.0.1a21indirect
PyPIty0.0.1a22indirect
PyPItypes-requests2.32.4.20250913indirect
PyPItypes-toml0.10.8.20240310indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.1indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.2indirect
PyPIuc-micro-py1.0.3indirect
PyPIurllib32.5.0indirect
PyPIurllib32.8.0indirect
PyPIuvicorn0.37.0indirect
PyPIverifiers0.1.5indirect
PyPIvirtualenv20.34.0indirect
PyPIvirtualenv20.35.3indirect
PyPIxxhash3.5.0indirect
PyPIyarl1.20.1indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:prime@0.17.0 pulls in 48 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

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