Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 00:47 UTC

urchade / GLiNER

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)

PythonApache-2.0★ 3,531 stars⑂ 299 forkssince Nov 2023View on GitHub ↗
KindLibraryhow this is determined
#information-extraction#large-language-models#named-entity-recognition#natural-language-processing#prompt-tuning

urchade/GLiNER holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Vitality (91/100) and lowest on AI Readiness (46/100). It was last updated 2 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

Urchade ZaratianaPersonal account
211 followers51 public repossince Apr 2018

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgliner0.2.28750,4364319 days agonamed-entity-recognitionnerdata-sciencenatural-language-processingartificial-intelligencenlpmachine-learningtransformers

Metrics by category

Vitality

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

91Excellent · 21% of overall

Development activity

90Excellent
How it's scored
36/36Push recency — last push 2 days ago
26.3/36Commit cadence — 38/52 weeks with commits
18/18Commit volume — 287 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year287
human_commit_share1
days_since_last_push2
active_weeks_last_year38

Release discipline

92Excellent
How it's scored
27/27Ships releases — 41 releases published
36/36Release recency — latest release 19 days ago
19.8/27Release cadence — a release every ~50 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count41
latest_release_tagv0.2.28
releases_from_tagsno
days_since_latest_release19
mean_days_between_releases50
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?

76Good · 17% of overall

Popularity & adoption

85Excellent
How it's scored
57.5/60Stars — 3,531 stars
20.6/25Forks — 299 forks
7/15Watchers — 19 watchers
Inputs used
forks299
stars3,531
watchers19
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 (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

98Exceptional
How it's scored
78.3/80Monthly downloads — 750,436 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgliner
dependents—
ecosystemspypi
total_downloads—
monthly_downloads750,436
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?

72Good · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.2/22.5Commit distribution — top contributor authored 46% of commits
13.5/13.5Contributor breadth — 42 contributors
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled42
top_contributor_share0.46

Issue & PR responsiveness

71Good
How it's scored
22.8/42Issue resolution — 54% of issues closed
27.7/30PR acceptance — 123/133 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 4/8 approved changesets -- score normalized to 5
Inputs used
merged_prs123
open_issues92
closed_issues109
prs_merged_7d1
prs_decided_7d1
prs_merged_30d5
prs_decided_30d6
issue_closed_ratio0.542
closed_unmerged_prs10
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2

Ownership & stewardship

64Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
16.7/25Owner reach — 211 followers of urchade
24.5/25Track record — 51 public repos, account ~8 yr old
Inputs used
followers211
owner_typeUser
is_verified—
owner_loginurchade
public_repos51
account_age_days3,047
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 19 days ago
20/20Version history — 43 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgliner
ecosystemspypi
any_deprecatedno
min_days_since_publish19

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

56Moderate
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
8/20OpenSSF Scorecard: CI-Tests — 3 out of 7 merged PRs checked by a CI test -- score normalized to 4
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://urchade.github.io/GLiNER
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicsinformation-extraction, large-language-models, named-entity-recognition, natural-language-processing, prompt-tuning
has_wikiyes
homepagehttps://urchade.github.io/GLiNER
docs_sitehttps://urchade.github.io/GLiNER
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

53Moderate · 16% of overall

Security posture

41Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
1/2.5CI-Tests — 3 out of 7 merged PRs checked by a CI test -- score normalized to 4
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 4/8 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 10 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 5 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 61 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.1
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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_packages32
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:gliner@0.2.28 runtime dependency closure — what installing the published package pulls in — 32 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.

46Weak · 4% of overall

Agent context & guidance

23At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
22.9/40Legible commit history — 43 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.43
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

42Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 10 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0.1
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

52Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
52.3/55Manageable file sizes — 4/82 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes264,942
source_files_sampled82
oversized_source_files4

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, notebooks
Inputs used
example_dirsexamples, notebooks
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

3,531GitHub stars
42contributors
287commits, last 12 months
2days since last push
41releases
2bus factor
92open 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 ★ / 299 ⇿
0Stars
299Forks
41Releases

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.

05010015020025030029562024-012025-052026-08
Major 0Minor 2Patch 39

Each point covers 3 days.

OpenSSF Scorecard 4.1 / 10
4.1aggregate

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 · 2026-08-13 00:47 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
4CI-Tests3 out of 7 merged PRs checked by a CI test -- score normalized to 4
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 4/8 approved changesets -- score normalized to 5
10Contributorsproject has 10 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 5 issue activity found in the last 90 days -- score normalized to 10
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
0Vulnerabilities61 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPItorch>=2.0.0pyproject.toml
PyPItransformers>=4.51.3,<5.14.0pyproject.toml
PyPIhuggingface_hub>=0.21.4pyproject.toml
PyPItqdm—pyproject.toml
PyPIonnxruntime—pyproject.toml
PyPIsentencepiece—pyproject.toml
All dependencies 210

Full resolved dependency set from the GitHub dependency graph: 12 direct and 198 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Dependency advisories 0

Installing pypi:gliner@0.2.28 pulls in 32 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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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.

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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.31.0 — full methodology · metrics wiki.

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