Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 19:52 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★ 319 stars⑂ 65 forkssince Dec 2024View on GitHub ↗
KindCommand-line toolLibraryTerminal interfacehow this is determined

PrimeIntellect-ai/prime holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on Security (50/100). It was last updated today. 2 contributors account for most of its recent work.

89
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.

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

Ownership

Prime IntellectOrganization
1,441 followers65 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
PyPIprime0.6.3443,0311691 day agoclicloudcomputegpu
PyPIprime-runs0.1.240330 days agoevalsevaluationsobservabilityrunstracestraining
PyPIprime-evals0.2.326,3451796 days agoevalsevaluations
PyPIprime-traces0.0.49,20445 days agoevalsobservabilityrolloutstraces
PyPIprime-tunnel0.1.11698,467125 days agofrpnetworkingreverse-proxysdktunnel
PyPIprime-sandboxes0.2.42766,416451 day 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 — 606 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_year606
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 1 days ago
27/27Release cadence — a release every ~2.3 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv0.6.34
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases2.3

Community & Adoption

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

66Good · 17% of overall

Popularity & adoption

60Moderate
How it's scored
40.6/60Stars — 319 stars
15.1/25Forks — 65 forks
4.7/15Watchers — 8 watchers
Inputs used
forks65
stars319
watchers8
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 — 1,543,866 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_downloads1,543,866
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?

74Good · 23% of overall

Maintainer resilience (bus factor)

63Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.9/22.5Commit distribution — top contributor authored 38% of commits
13.5/13.5Contributor breadth — 33 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled33
top_contributor_share0.382

Issue & PR responsiveness

67Good
How it's scored
31.2/42Issue resolution — 74% of issues closed
24.1/30PR acceptance — 677/844 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
12/15OpenSSF Scorecard: Code-Review — Found 26/30 approved changesets -- score normalized to 8
Inputs used
merged_prs677
open_issues9
closed_issues26
prs_merged_7d22
prs_decided_7d24
prs_merged_30d54
prs_decided_30d60
issue_closed_ratio0.743
closed_unmerged_prs167
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1

Ownership & stewardship

72Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
22.7/25Owner reach — 1,441 followers of PrimeIntellect-ai
18.8/25Track record — 65 public repos, account ~2 yr old
Inputs used
followers1,441
owner_typeOrganization
is_verifiedno
owner_loginPrimeIntellect-ai
public_repos65
account_age_days1,059

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 6 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 169 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_publish0

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?

50Moderate · 16% of overall

Security posture

51Moderate
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
6/7.5Code-Review — Found 26/30 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 6 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
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
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 — 83 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.1

Dependency advisories

44Weak
How it's scored
6.1/35Direct dependencies free of known advisories — 2 affected: cryptography 46.0.1 (critical 9.8), cryptography 46.0.2 (critical 9.8)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
26.8/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 210 days ago
Inputs used
sourceosv
advisories251
affected_packages26
assessed_packages170
unassessed_packages28
affected_by_severitycritical 5, high 10, moderate 8, low 1, unknown 2
direct_affected_packages2
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 170 resolved dependencies against OSV. 28 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

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)

66Good
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 — 29 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
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_share0.29
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)
53.1/55Manageable file sizes — 10/297 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes275,693
source_files_sampled297
oversized_source_files10

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

319GitHub stars
33contributors
606commits, last 12 months
0days since last push
100releases
2bus factor
9open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:prime@0.6.34; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 65 ⇿
0Stars
65Forks
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.

01325385063756432025-012025-112026-09
Major 0Minor 1Patch 97

Each point covers 2 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-09-09 19:51 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
8Code-ReviewFound 26/30 approved changesets -- score normalized to 8
10Contributorsproject has 6 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
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
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
0Vulnerabilities83 existing vulnerabilities detected
Direct dependencies 35
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
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PyPIpydantic>=2.0.0packages/prime-tunnel/pyproject.toml
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PyPIprime-traces>=0.0.4packages/prime/pyproject.toml
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PyPItoml>=0.10.0packages/prime/pyproject.toml
PyPItomli>=2.0.0packages/prime/pyproject.toml
All dependencies 198

Full resolved dependency set from the GitHub dependency graph: 49 direct and 149 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPItextual-hires-canvas0.14.0indirect
PyPItiktoken0.13.0indirect
PyPItokenizers0.22.2indirect
PyPItomli-w1.2.0indirect
PyPItqdm4.67.1indirect
PyPItransformers4.57.6indirect
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
PyPIuvicorn0.37.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv20.34.0indirect
PyPIvirtualenv20.35.3indirect
PyPIwin32-setctime1.2.0indirect
PyPIxxhash3.5.0indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.20.1indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 26

This repository publishes no package the index resolves, so its own dependency graph was assessed — 170 packages, which also include development and test pins that never ship: 26 carry known advisories, of which 2 are direct. 28 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
cryptography46.0.1directcritical1350.0.0
cryptography46.0.2directcritical1350.0.0
aiohttp3.12.15indirectcritical643.14.3
aiohttp3.13.0indirectcritical643.14.3
transformers4.57.6indirectcritical85.10.0
click8.2.1indirecthigh18.3.3
click8.3.0indirecthigh18.3.3
mcp1.15.0indirecthigh61.28.1
mcp1.22.0indirecthigh61.28.1
msgpack1.1.2indirecthigh21.2.1
pyarrow21.0.0indirecthigh223.0.1
pyjwt2.10.1indirecthigh132.13.0
python-multipart0.0.20indirecthigh140.0.31
starlette0.48.0indirecthigh121.3.1
urllib32.5.0indirecthigh82.7.0
filelock3.19.1indirectmoderate43.20.3
filelock3.20.0indirectmoderate43.20.3
idna3.10indirectmoderate23.15
pytest8.4.2indirectmoderate29.0.3
python-dotenv1.1.1indirectmoderate21.2.2
requests2.32.5indirectmoderate22.33.0
virtualenv20.34.0indirectmoderate220.36.1
virtualenv20.35.3indirectmoderate220.36.1
pygments2.19.2indirectlow22.20.0
datasets4.1.1indirectunknown15.0.1
datasets4.2.0indirectunknown15.0.1

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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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.