Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 03:16 UTC

mandiant / speakeasy

Windows kernel and user mode emulation.

PythonMIT★ 2,044 stars⑂ 288 forkssince Aug 2020View on GitHub ↗
KindCommand-line toolhow this is determined

mandiant/speakeasy holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (84/100) and lowest on Security (63/100). It was last updated 11 days ago. 2 contributors account for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

MANDIANTOrganization
2,546 followers104 public repossince Jul 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIspeakeasy-emulatorpoints to another repo — not scored1.5.1114,995201553 days ago

Metrics by category

Vitality

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

77Good · 21% of overall
How it's scored
28.8/36Push recency — last push 11 days ago
16.6/36Commit cadence — 24/52 weeks with commits
18/18Commit volume — 326 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year326
human_commit_share1
days_since_last_push11
active_weeks_last_year24
How it's scored
27/27Ships releases — 24 releases published
36/36Release recency — latest release 26 days ago
12.6/27Release cadence — a release every ~169.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count24
latest_release_tagv2.0.0b6
releases_from_tagsno
days_since_latest_release26
mean_days_between_releases169.6
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?

68Good · 17% of overall
How it's scored
53.7/60Stars — 2,044 stars
20.5/25Forks — 288 forks
9.6/15Watchers — 54 watchers
Inputs used
forks288
stars2,044
watchers54
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

72Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.7/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 39 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled39
top_contributor_share0.435
How it's scored
36.7/42Issue resolution — 87% of issues closed
28.7/30PR acceptance — 205/214 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/17 approved changesets -- score normalized to 0
Inputs used
merged_prs205
open_issues13
closed_issues89
prs_merged_7d0
prs_decided_7d0
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0.873
closed_unmerged_prs9
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
24.5/25Owner reach — 2,546 followers of mandiant
25/25Track record — 104 public repos, account ~16 yr old
Inputs used
followers2,546
owner_typeOrganization
is_verifiedno
owner_loginmandiant
public_repos104
account_age_days5,901

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 9 out of 9 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 2 topics
10/10Wiki
Inputs used
topicsmalware-analysis, emulation
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

63Moderate · 16% of overall
How it's scored
4.5/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 9 out of 9 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
0/7.5Code-Review — Found 1/17 approved changesets -- score normalized to 0
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 14 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
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.
How it's scored
26.6/35Direct dependencies free of known advisories — 1 affected: unicorn 1.0.2 (unknown)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
37.2/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 1,717 days ago
Inputs used
sourceosv
advisories1
affected_packages1
assessed_packages10
unassessed_packages0
affected_by_severityunknown 1
direct_affected_packages1
Matched the pypi:speakeasy-emulator@1.5.11 runtime dependency closure — what installing the published package pulls in — 10 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
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
37.9/40Legible commit history — 71 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.71
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — speakeasy/py.typed
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 6 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
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configyes
typecheck_configsspeakeasy/py.typed
agent_commit_share0.06
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (speakeasy/py.typed)
54/55Manageable file sizes — 3/170 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes203,234
source_files_sampled170
oversized_source_files3
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

2,044GitHub stars
39contributors
326commits, last 12 months
11days since last push
24releases
2bus factor
13open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'speakeasy-emulator' points at a different repository (https://github.com/fireeye/speakeasy); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 288 ⇿
0Stars
288Forks
24Releases

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.

050100150200250300283292020-082023-092026-09
Major 0Minor 2Patch 13

Each point covers 6 days.

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 03:16 UTC

6Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests9 out of 9 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/17 approved changesets -- score normalized to 0
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 14 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
9SASTSAST tool is not run on all commits -- score normalized to 9
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIpefile—pyproject.toml
PyPIcapstone—pyproject.toml
PyPIlznt1—pyproject.toml
PyPIunicorn>=2.1.4pyproject.toml
PyPIpycryptodome—pyproject.toml
PyPIpydantic>=2.0pyproject.toml
PyPIrich—pyproject.toml
All dependencies 3

Full resolved dependency set from the GitHub dependency graph: 2 direct and 1 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpydantic—direct
PyPIunicorn—direct
PyPIsetuptools—indirect
Dependency advisories 1

Installing pypi:speakeasy-emulator@1.5.11 pulls in 10 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
unicorn1.0.2directunknown12.0.0rc1

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 v0.34.0 — full methodology · metrics wiki.

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