Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-22 18:15 UTC

explosion / spacy-transformers

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

PythonMIT★ 1,408 stars⑂ 181 forkssince Jul 2019View on GitHub ↗

explosion/spacy-transformers holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on Community & Adoption (68/100) and lowest on Vitality (43/100). It was last updated 148 days ago. A single contributor accounts for most of its recent work.

62
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.

62
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 58 is calibrated to 62 on the published index scale (record calibration 2026-08-02).

Ownership

ExplosionOrganization · verified domain
1,501 followers79 public repossince Jun 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIspacy-transformerspoints to another repo — not scored1.4.0266,05780158 days ago

Metrics by category

Vitality

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

43Weak · 21% of overall
How it's scored
9.9/36Push recencylast push 148 days ago
2.1/36Commit cadence3/52 weeks with commits
10.3/18Commit volume13 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year13
human_commit_share1
days_since_last_push148
active_weeks_last_year3
How it's scored
27/27Ships releases48 releases published
27/36Release recencylatest release 158 days ago
19.8/27Release cadencea release every ~106.6 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count48
latest_release_tagrelease-v1.4.0
releases_from_tagsno
days_since_latest_release158
mean_days_between_releases106.6

Community & Adoption

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

68Good · 17% of overall
How it's scored
51.1/60Stars1,408 stars
18.8/25Forks181 forks
8/15Watchers28 watchers
Inputs used
forks181
stars1,408
watchers28
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

66Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
8/22.5Commit distributiontop contributor authored 64% of commits
13.5/13.5Contributor breadth21 contributors
10/10OpenSSF Scorecard: Contributorsproject has 12 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled21
top_contributor_share0.644
How it's scored
0/42Issue resolutionno issues or no data
26.5/30PR acceptance226/256 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 6/30 approved changesets -- score normalized to 2
Inputs used
merged_prs226
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio
closed_unmerged_prs30
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
22.8/25Owner reach1,501 followers of explosion
25/25Track record79 public repos, account ~10 yr old
Inputs used
followers1,501
owner_typeOrganization
is_verifiedyes
owner_loginexplosion
public_repos79
account_age_days3,717

Engineering Quality

Are baseline engineering and documentation practices in place?

64Moderate · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.isort]), setup.cfg ([flake8])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests1 out of 13 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://spacy.io/usage/embeddings-transformers
10/10Repository description
10/10Topics17 topics
0/10Wiki
Inputs used
topicsspacy, spacy-pipeline, spacy-extension, nlp, natural-language-processing, natural-language-understanding, pytorch, bert, google, pytorch-model, openai, language-model, machine-learning, huggingface, transfer-learning, xlnet, gpt-2
has_wikino
homepagehttps://spacy.io/usage/embeddings-transformers
docs_sitehttps://spacy.io/usage/embeddings-transformers
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

44Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0/2.5CI-Tests1 out of 13 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-ReviewFound 6/30 approved changesets -- score normalized to 2
2.5/2.5Contributorsproject has 12 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
0/7.5Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packagingpackaging workflow detected
2/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
6.8/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities30 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.9
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.
How it's scored
8.1/35Direct dependencies free of known advisories1 affected: transformers 4.53.2 (critical 9.6)
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
32.3/40No advisories left outstanding1 advisory-carrying package(s) unaddressed past 90 days; oldest published 241 days ago
Inputs used
sourceosv
advisories14
affected_packages1
assessed_packages55
unassessed_packages0
affected_by_severitycritical 1
direct_affected_packages1
Matched the pypi:spacy-transformers@1.4.0 runtime dependency closure — what installing the published package pulls in — 55 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.

66Good · 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 history76 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.76
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.isort]), setup.cfg ([flake8])
11/11Static type checkingpyrightconfig.json, spacy_transformers/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
4/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configspyrightconfig.json, spacy_transformers/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (pyrightconfig.json, spacy_transformers/py.typed)
55/55Manageable file sizes0/37 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes21,172
source_files_sampled37
oversized_source_files0
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 examplesexamples
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

1,408GitHub stars
21contributors
13commits, last 12 months
148days since last push
48releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 181 ⇿
0Stars
181Forks
47Releases

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.

0408012016020017772019-082023-012026-07
Major 1Minor 9Patch 31

Each point covers 7 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 · 2026-08-22 18:15 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
0CI-Tests1 out of 13 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 6/30 approved changesets -- score normalized to 2
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities30 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIspacy>=3.5.0,<4.1.0setup.cfg
PyPInumpy>=1.19.0setup.cfg
PyPItransformers>=4.45.0setup.cfg
PyPItorch>=1.8.0setup.cfg
PyPIsrsly>=2.4.0,<3.0.0setup.cfg
PyPIsafetensors>=0.4.0setup.cfg
PyPIspacy-alignments>=0.7.2,<1.0.0setup.cfg
All dependencies 11

Full resolved dependency set from the GitHub dependency graph: 6 direct and 5 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpydirect
PyPIspacydirect
PyPIspacy-alignmentsdirect
PyPIsrslydirect
PyPItorchdirect
PyPItransformersdirect
PyPIcythonindirect
PyPIdataclassesindirect
PyPIpyrightindirect
PyPIpytestindirect
PyPIpytest-covindirect
Dependency advisories 1

Installing pypi:spacy-transformers@1.4.0 pulls in 55 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
transformers4.53.2directcritical145.5.0

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 statisticsPyPI.