Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 04:57 UTC

google-ai-edge / LiteRT-LM

LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.

C++Apache-2.0★ 6,303 stars⑂ 699 forkssince Apr 2025View on GitHub ↗
KindLibraryhow this is determined
#edge-ai#on-device-ai#on-device-llm

google-ai-edge/LiteRT-LM holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on Security (39/100). It was last updated today. 2 contributors account for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

google-ai-edgeOrganization
4,220 followers14 public repossince Nov 2023

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?

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 — 1,886 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,886
human_commit_share1
days_since_last_push0
active_weeks_last_year52

Release discipline

90Excellent
How it's scored
27/27Ships releases — 29 releases published
36/36Release recency — latest release 9 days ago
27/27Release cadence — a release every ~11.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count29
latest_release_tagv0.16.1
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases11.5

Community & Adoption

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

83Excellent · 17% of overall

Popularity & adoption

94Exceptional
How it's scored
60/60Stars — 6,303 stars
23.7/25Forks — 699 forks
10.2/15Watchers — 70 watchers
Inputs used
forks699
stars6,303
watchers70
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

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

60Moderate · 23% of overall

Maintainer resilience (bus factor)

63Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.2/22.5Commit distribution — top contributor authored 37% of commits
13.5/13.5Contributor breadth — 43 contributors
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled43
top_contributor_share0.368

Issue & PR responsiveness

46Weak
How it's scored
16.5/42Issue resolution — 39% of issues closed
23.8/30PR acceptance — 2,075/2,620 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs2,075
open_issues229
closed_issues149
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.394
closed_unmerged_prs545
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

69Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 4,220 followers of google-ai-edge
14.1/25Track record — 14 public repos, account ~2 yr old
Inputs used
followers4,220
owner_typeOrganization
is_verifiedno
owner_logingoogle-ai-edge
public_repos14
account_age_days1,018

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

66Good
How it's scored
24/24CI workflows — 13 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
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://ai.google.dev/edge/litert-lm
10/10Repository description
10/10Topics — 3 topics
10/10Wiki
Inputs used
topicsedge-ai, on-device-ai, on-device-llm
has_wikiyes
homepagehttps://ai.google.dev/edge/litert-lm
docs_sitehttps://ai.google.dev/edge/litert-lm
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

39Weak · 16% of overall

Security posture

28At Risk
How it's scored
0/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 9 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 20 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 34 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate2.8
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. Remaining weights renormalized.

Dependency advisories

83Excellent
How it's scored
24.7/35Direct dependencies free of known advisories — 2 affected: cxx 1.0.149 (unknown), paste 1.0.15 (unknown)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
37.2/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 689 days ago
Inputs used
sourceosv
advisories60
affected_packages13
assessed_packages241
unassessed_packages39
affected_by_severityhigh 6, moderate 1, low 1, unknown 5
direct_affected_packages2
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 241 resolved dependencies against OSV. 39 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.

58Moderate · 4% of overall

Agent context & guidance

16Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
16/40Legible commit history — 30 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.3
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

58Moderate
How it's scored
12.6/18One-command bootstrap — Cargo.toml, cmake/rust/antlr_fc/Cargo.toml, cmake/rust/antlr_python/Cargo.toml (toolchain convention, no task runner)
22/22Automated tests
0/11Lint / format config
11/11Static type checking — js/apps/chat/tsconfig.json, js/apps/model_tester/tsconfig.json, js/packages/core/tsconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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
lockfilesCargo.lock
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configsjs/apps/chat/tsconfig.json, js/apps/model_tester/tsconfig.json, js/packages/core/tsconfig.json
agent_commit_share0
toolchain_manifestsCargo.toml, cmake/rust/antlr_fc/Cargo.toml, cmake/rust/antlr_python/Cargo.toml, cmake/rust/fc_parser/Cargo.toml, cmake/rust/json_parser/Cargo.toml, cmake/rust/python_parser/Cargo.toml
dependency_bot_commit_share0

Code legibility for models

99Exceptional
How it's scored
45/45Type-checkable code — C++ (statically typed)
54.1/55Manageable file sizes — 14/828 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes186,469
source_files_sampled828
oversized_source_files14

Machine-readable interfaces

100Exceptional
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — runtime/executor/proto/constrained_decoding_options.proto, runtime/proto/embedding_metadata.proto, runtime/proto/embedding_model_type.proto, runtime/proto/engine.proto, runtime/proto/executor_metadata.proto, runtime/proto/litert_lm_metrics.proto, runtime/proto/llm_metadata.proto, runtime/proto/llm_model_type.proto, runtime/proto/sampler_params.proto, runtime/proto/token.proto, runtime/util/external_file.proto
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — example, examples, notebooks, samples
Inputs used
example_dirsexample, examples, notebooks, samples
has_mcp_signalno
api_schema_filesruntime/executor/proto/constrained_decoding_options.proto, runtime/proto/embedding_metadata.proto, runtime/proto/embedding_model_type.proto, runtime/proto/engine.proto, runtime/proto/executor_metadata.proto, runtime/proto/litert_lm_metrics.proto, runtime/proto/llm_metadata.proto, runtime/proto/llm_model_type.proto, runtime/proto/sampler_params.proto, runtime/proto/token.proto, runtime/util/external_file.proto
interfaces_expected_of—
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

6,303GitHub stars
43contributors
1,886commits, last 12 months
0days since last push
29releases
2bus factor
229open issues
crates.io, npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch crates package 'litert_lm_deps' from its registry

More detail

Star and fork history 0 ★ / 699 ⇿
0Stars
699Forks
25Releases

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.

0125250375500625750693662025-062026-012026-08
Major 0Minor 11Patch 6

Each point covers 2 days.

OpenSSF Scorecard 2.8 / 10
2.8aggregate

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 · 2026-08-28 04:55 UTC

0Binary-Artifactsbinaries present in source code
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
9CI-Tests29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 9 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 20 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
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.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities34 existing vulnerabilities detected
Direct dependencies 18
RegistryPackageVersion constraintManifest
crates.ioantlr4rust0.5Cargo.toml
crates.iochrono0.4Cargo.toml
crates.iocxx=1.0.149Cargo.toml
crates.iogoogletest0.14Cargo.toml
crates.ioindexmap2.12Cargo.toml
crates.iollguidance=1.3.0Cargo.toml
crates.iominijinja=2.14.0Cargo.toml
crates.iopaste1.0Cargo.toml
crates.ioquote1.0Cargo.toml
crates.iotokenizers=0.21.0Cargo.toml
crates.ioserde1.0Cargo.toml
crates.ioserde_json1.0Cargo.toml
crates.iosyn2.0Cargo.toml
crates.ioantlr_fc_tool_call_parser—Cargo.toml
crates.ioantlr_python_tool_call_parser—Cargo.toml
crates.iojson_parser—Cargo.toml
crates.iopython_parser—Cargo.toml
crates.iofc_parser—Cargo.toml
All dependencies 280

Full resolved dependency set from the GitHub dependency graph: 18 direct and 262 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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crates.ioquote1.0.44direct
crates.ioserde—direct
crates.ioserde1.0.228direct
crates.ioserde_json—direct
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npm@litert-lm/core0.12.1indirect
npm@litert-lm/core^0.12.1indirect
npm@litertjs/wasm-utils^2.0.0indirect
npm@material/web^2.3.0indirect
npm@types/argparse^2.0.17indirect
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npm@types/jasmine^5.1.8indirect
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npm@webgpu/types^0.1.54indirect
npm@webgpu/types^0.1.69indirect
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npmrimraf^6.0.1indirect
npmselenium-webdriver^4.34.0indirect
npmts-node^10.9.2indirect
npmturbo^2.0.10indirect
npmtypedoc^0.28.7indirect
npmtypescript^5.5.4indirect
npmtypescript^6.0.3indirect
npmvite^6.4.2indirect
npmzod^3.23.8indirect
PyPIabsl-py2.4.0indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.5indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIanyio4.13.0indirect
PyPIattrs26.1.0indirect
PyPIcertifi2026.2.25indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.3.2indirect
PyPIcolorama0.4.6indirect
PyPIdataproperty1.1.0indirect
PyPIdatasets4.8.4indirect
PyPIdill0.4.1indirect
PyPIevaluate0.4.6indirect
PyPIfilelock3.28.0indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.2.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.4.3indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhuggingface-hub1.10.2indirect
PyPIidna3.11indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIjsonlines4.0.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2023.12.1indirect
PyPIlm-eval0.4.11indirect
PyPIlxml6.0.4indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImbstrdecoder1.1.4indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.0.2indirect
PyPImultidict6.7.1indirect
PyPImultiprocess0.70.19indirect
PyPInltk3.9.4indirect
PyPInumpy2.4.4indirect
PyPIpackaging26.1indirect
PyPIpandas3.0.2indirect
PyPIpathvalidate3.3.1indirect
PyPIportalocker3.2.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.4.1indirect
PyPIpyarrow23.0.1indirect
PyPIpygments2.20.0indirect
PyPIpytablewriter1.2.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2026.1.post1indirect
PyPIpyyaml6.0.3indirect
PyPIquestionary2.1.1indirect
PyPIreferencing0.35.1indirect
PyPIregex2026.4.4indirect
PyPIrequests2.33.1indirect
PyPIrich15.0.0indirect
PyPIrouge-score0.1.2indirect
PyPIrpds-py2026.6.3indirect
PyPIsacrebleu2.6.0indirect
PyPIscikit-learn1.8.0indirect
PyPIscipy1.17.1indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsqlitedict2.1.0indirect
PyPItabledata1.3.4indirect
PyPItabulate0.10.0indirect
PyPItcolorpy0.1.7indirect
PyPIthreadpoolctl3.6.0indirect
PyPItomli2.4.1indirect
PyPItqdm4.67.3indirect
PyPItypepy1.3.4indirect
PyPItyper0.24.1indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.6.3indirect
PyPIwcwidth0.6.0indirect
PyPIword2number1.1indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.23.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 13

This repository publishes no package the index resolves, so its own dependency graph was assessed — 241 packages, which also include development and test pins that never ship: 13 carry known advisories, of which 2 are direct. 39 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.13.5indirecthigh283.14.3
click8.3.2indirecthigh18.3.3
lxml6.0.4indirecthigh26.1.0
nltk3.9.4indirecthigh143.10.0
sqlitedict2.1.0indirecthigh2—
urllib32.6.3indirecthigh42.7.0
idna3.11indirectmoderate23.15
rand0.8.5indirectlow20.10.1
cxx1.0.149directunknown11.0.195
paste1.0.15directunknown1—
anyhow1.0.101indirectunknown11.0.103
crossbeam-epoch0.9.18indirectunknown10.9.20
datasets4.8.4indirectunknown15.0.1

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.