Public record
Software health reportschema 0.27.0 · metrics 2.10.0 · 2026-07-30 22:17 UTC

Qiskit / qiskit-aer

Aer is a high performance simulator for quantum circuits that includes noise models

C++ · PythonApache-2.0★ 681 stars⑂ 440 forkssince Dec 2018View on GitHub ↗

Qiskit/qiskit-aer holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (87/100) and lowest on Vitality (57/100). It was last updated 66 days ago. 3 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

QiskitOrganization
4,007 followers56 public repossince Aug 2017

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

Metrics by category

Vitality

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

57Moderate · 21% of overall
How it's scored
18/36Push recencylast push 66 days ago
4.8/36Commit cadence7/52 weeks with commits
11.9/18Commit volume20 commits in the last year
8/10OpenSSF Scorecard: Maintained10 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 8
Inputs used
commits_last_year20
human_commit_share1
days_since_last_push66
active_weeks_last_year7
How it's scored
27/27Ships releases60 releases published
16.2/36Release recencylatest release 316 days ago
27/27Release cadencea release every ~41 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count60
latest_release_tag0.17.2
releases_from_tagsno
days_since_latest_release316
mean_days_between_releases41
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

87Excellent · 17% of overall
How it's scored
45.9/60Stars681 stars
22/25Forks440 forks
8.5/15Watchers35 watchers
Inputs used
forks440
stars681
watchers35
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

100Exceptional
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
readme_badge_services
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

86Excellent · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
16.4/22.5Commit distributiontop contributor authored 27% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 21 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled100
top_contributor_share0.271
How it's scored
33.8/42Issue resolution80% of issues closed
25.4/30PR acceptance1,189/1,403 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs1,189
open_issues188
closed_issues773
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.804
closed_unmerged_prs214
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
25/25Owner reach4,007 followers of Qiskit
24.8/25Track record56 public repos, account ~8 yr old
Inputs used
followers4,007
owner_typeOrganization
is_verified
owner_loginQiskit
public_repos56
account_age_days3,283
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

83Excellent · 19% of overall
How it's scored
24/24CI workflows7 workflow(s)
24/24Tests present
16/16Linter config.pylintrc, tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests21 out of 30 merged PRs checked by a CI test -- score normalized to 7
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://qiskit.github.io/qiskit-aer/
10/10Repository description
10/10Topics4 topics
0/10Wiki
Inputs used
topicsgpu, qiskit, quantum-computing, simulator
has_wikino
homepagehttps://qiskit.github.io/qiskit-aer/
docs_sitehttps://qiskit.github.io/qiskit-aer/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

62Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
1.8/2.5CI-Tests21 out of 30 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 21 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
6/7.5Maintained10 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 8
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.3
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories10
affected_packages1
assessed_packages3
unassessed_packages26
affected_by_severityhigh 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 3 resolved dependencies against OSV. 26 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.

67Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history99 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
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config.pylintrc, tox.ini
11/11Static type checkingC++ (statically typed)
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageyes
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
45/45Type-checkable codeC++ (statically typed)
53.9/55Manageable file sizes7/346 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes107,788
source_files_sampled346
oversized_source_files7
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesnotebooks
Inputs used
example_dirsnotebooks
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

681GitHub stars
100contributors
20commits, last 12 months
66days since last push
60releases
3bus factor
188open 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 ★ / 440 ⇿
0Stars
440Forks
60Releases

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.

010020030040050043392018-122022-102026-07
Major 0Minor 13Patch 42

Each point covers 7 days.

OpenSSF Scorecard 5.3 / 10
5.3aggregate

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 · 2026-07-30 22:16 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
7CI-Tests21 out of 30 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 21 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
8Maintained10 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 8
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
All dependencies 29

Full resolved dependency set from the GitHub dependency graph: 0 direct and 29 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPI0-17-2indirect
PyPIastroid2.14.2indirect
PyPIasvindirect
PyPIblackindirect
PyPIclang-formatindirect
PyPIcmakeindirect
PyPIconanindirect
PyPIcvxpyindirect
PyPIddtindirect
PyPIjinja23.0.3indirect
PyPIjupyter-sphinxindirect
PyPImatplotlibindirect
PyPInbsphinxindirect
PyPInumpyindirect
PyPIpsutilindirect
PyPIpybind11indirect
PyPIpylint2.16.2indirect
PyPIpython-dateutilindirect
PyPIqiskitindirect
PyPIqiskit-qasm3-importindirect
PyPIqiskit-sphinx-themeindirect
PyPIrenoindirect
PyPIscikit-buildindirect
PyPIscipyindirect
PyPIseabornindirect
PyPIsphinxindirect
PyPIsphinx-designindirect
PyPIstestrindirect
PyPIsympyindirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 3 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct. 26 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
jinja23.0.3indirecthigh103.1.6

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.

The message is kept through sign-in.

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 v0.27.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics.