Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 21:18 UTC

microsoft / LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

PythonMIT★ 13,734 stars⑂ 921 forkssince Jun 2021View on GitHub ↗
KindLibraryhow this is determined
#gpt-2#adaptation#language-model#gpt-3#low-rank#pytorch#deep-learning#roberta#deberta#lora

microsoft/LoRA holds a health index of 29 out of 100, placing it in the At Risk band. It scores highest on Community & Adoption (83/100) and lowest on Vitality (22/100). It was last updated 603 days ago. A single contributor accounts for most of its recent work.

29
overall / 100
At Risk

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.

29
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 49 is calibrated to 48 on the published index scale (record calibration 2026-08-02).

Ownership

MicrosoftOrganization
127,481 followers8,261 public repossince Dec 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIloralib0.1.2217,59031081 days ago

Metrics by category

Vitality

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

22At Risk · 21% of overall

Development activity

1Critical
How it's scored
0/36Push recency — last push 603 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year0
human_commit_share0.891
days_since_last_push603
active_weeks_last_year0

Release discipline

54Moderate
How it's scored
27/27Ships releases — 4 releases published
0/36Release recency — latest release 1,790 days ago
27/27Release cadence — a release every ~0 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count4
latest_release_tagDeBERTa
releases_from_tagsno
days_since_latest_release1,790
mean_days_between_releases0

Community & Adoption

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

83Excellent · 17% of overall

Popularity & adoption

95Exceptional
How it's scored
60/60Stars — 13,734 stars
24.7/25Forks — 921 forks
10.5/15Watchers — 78 watchers
Inputs used
forks921
stars13,734
watchers78
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

65Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code 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_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

89Excellent
How it's scored
71.2/80Monthly downloads — 217,590 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesloralib
dependents—
ecosystemspypi
total_downloads—
monthly_downloads217,590
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?

57Moderate · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
8.2/22.5Commit distribution — top contributor authored 63% of commits
13.5/13.5Contributor breadth — 11 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled11
top_contributor_share0.634

Issue & PR responsiveness

37Weak
How it's scored
14/42Issue resolution — 33% of issues closed
14/30PR acceptance — 20/43 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
4.5/15OpenSSF Scorecard: Code-Review — Found 9/23 approved changesets -- score normalized to 3
Inputs used
merged_prs20
open_issues80
closed_issues40
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.333
closed_unmerged_prs23
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

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 127,481 followers of microsoft
25/25Track record — 8,261 public repos, account ~12 yr old
Inputs used
followers127,481
owner_typeOrganization
is_verified—
owner_loginmicrosoft
public_repos8,261
account_age_days4,628
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

61Moderate
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
4/35Publish recency — latest publish 1,081 days ago
12/20Version history — 3 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesloralib
ecosystemspypi
any_deprecatedno
min_days_since_publish1,081

Engineering Quality

Are baseline engineering and documentation practices in place?

40Weak · 19% of overall

Engineering practices

24At Risk
How it's scored
0/24CI workflows
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 13 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://arxiv.org/abs/2106.09685
10/10Repository description
10/10Topics — 10 topics
0/10Wiki
Inputs used
topicsgpt-2, adaptation, language-model, gpt-3, low-rank, pytorch, deep-learning, roberta, deberta, lora
has_wikino
homepagehttps://arxiv.org/abs/2106.09685
docs_sitehttps://arxiv.org/abs/2106.09685
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

45Weak · 16% of overall

Security posture

31At Risk
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
0/2.5CI-Tests — 0 out of 13 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5Code-Review — Found 9/23 approved changesets -- score normalized to 3
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — no data
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — no data
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — no data
0/7.5Vulnerabilities — 188 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.1
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Token-Permissions. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories312
affected_packages27
assessed_packages101
unassessed_packages30
affected_by_severitycritical 3, high 10, moderate 3, unknown 11
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 101 resolved dependencies against OSV. 30 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.

52Moderate · 4% of overall

Agent context & guidance

22At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
22.1/40Legible commit history — 17 of 41 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.415
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

58Moderate
How it's scored
18/18One-command bootstrap — examples/NLU/Makefile, examples/NLU/docs/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no agent-authored commits among the last 46
8/8Automated maintenance — 4 of the last 46 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesexamples/NLU/Makefile, examples/NLU/docs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.087

Code legibility for models

51Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
51.2/55Manageable file sizes — 57/816 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes156,536
source_files_sampled816
oversized_source_files57

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

13,734GitHub stars
11contributors
0commits, last 12 months
603days since last push
4releases
1bus factor
80open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Advisory severity resolved for 120 of 312 advisories (lookup cap); the remainder are reported as unknown severity

More detail

Star and fork history 0 ★ / 921 ⇿
0Stars
921Forks
4Releases

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.

02004006008001,000912182021-062024-012026-08
Major 0Minor 0Patch 0

Each point covers 5 days.

OpenSSF Scorecard 3.1 / 10
3.1aggregate

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 · 2026-08-12 21:17 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 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
3Code-ReviewFound 9/23 approved changesets -- score normalized to 3
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate 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
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
n/aToken-PermissionsNo tokens found
0Vulnerabilities188 existing vulnerabilities detected
All dependencies 131

Full resolved dependency set from the GitHub dependency graph: 0 direct and 131 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIappdirs1.4.3indirect
PyPIargon2-cffi20.1.0indirect
PyPIasync-generator1.10indirect
PyPIattrs20.2.0indirect
PyPIbackcall0.2.0indirect
PyPIcachecontrol0.12.6indirect
PyPIcertifi2022.12.7indirect
PyPIcffi1.14.2indirect
PyPIchardet3.0.4indirect
PyPIclick7.1.2indirect
PyPIcolorama0.4.3indirect
PyPIconllu—indirect
PyPIcontextlib20.6.0indirect
PyPIcycler0.10.0indirect
PyPIdatasets—indirect
PyPIdatasets1.0.0indirect
PyPIdecorator4.4.2indirect
PyPIdefusedxml0.6.0indirect
PyPIdill0.3.2indirect
PyPIdistlib0.3.0indirect
PyPIdistro1.4.0indirect
PyPIelasticsearch—indirect
PyPIentrypoints0.3indirect
PyPIfaiss-cpu—indirect
PyPIfilelock3.0.12indirect
PyPIfire—indirect
PyPIfuture0.18.2indirect
PyPIgit-python1.0.3indirect
PyPIgitpython3.0.2indirect
PyPIh5py—indirect
PyPIhtml5lib1.0.1indirect
PyPIidna2.8indirect
PyPIipaddr2.2.0indirect
PyPIipykernel5.3.4indirect
PyPIipython—indirect
PyPIipython-genutils0.2.0indirect
PyPIipywidgets7.5.1indirect
PyPIjedi0.17.2indirect
PyPIjinja22.11.2indirect
PyPIjoblib0.16.0indirect
PyPIjsonschema3.2.0indirect
PyPIjupyter1.0.0indirect
PyPIjupyter-client6.1.7indirect
PyPIjupyter-console6.2.0indirect
PyPIjupyter-core4.6.3indirect
PyPIjupyterlab-pygments0.1.1indirect
PyPIkiwisolver1.2.0indirect
PyPIknockknock—indirect
PyPIlockfile0.12.2indirect
PyPIltp—indirect
PyPImarkupsafe1.1.1indirect
PyPImatplotlib—indirect
PyPImatplotlib3.3.1indirect
PyPImistune0.8.4indirect
PyPImsgpack0.6.2indirect
PyPInbclient0.5.0indirect
PyPInbconvert6.0.1indirect
PyPInbformat5.0.7indirect
PyPInest-asyncio1.4.0indirect
PyPInltk—indirect
PyPInotebook6.4.1indirect
PyPInumpy—indirect
PyPInumpy1.19.2indirect
PyPIopencv-python4.4.0.42indirect
PyPIpackaging20.3indirect
PyPIpandas—indirect
PyPIpandas1.1.2indirect
PyPIpandocfilters1.4.2indirect
PyPIparso0.7.1indirect
PyPIpep5170.8.2indirect
PyPIpexpect4.8.0indirect
PyPIpickleshare0.7.5indirect
PyPIpillow8.3.2indirect
PyPIprogress1.5indirect
PyPIprometheus-client0.8.0indirect
PyPIprompt-toolkit3.0.7indirect
PyPIprotobuf—indirect
PyPIpsutil—indirect
PyPIpsutil5.6.6indirect
PyPIptyprocess0.6.0indirect
PyPIpy-rouge—indirect
PyPIpyaml20.4.0indirect
PyPIpyarrow1.0.1indirect
PyPIpycparser2.20indirect
PyPIpygments2.6.1indirect
PyPIpyparsing2.4.6indirect
PyPIpyrsistent0.16.0indirect
PyPIpytest—indirect
PyPIpython-dateutil2.8.1indirect
PyPIpytoml0.1.21indirect
PyPIpytorch-lightning1.0.4indirect
PyPIpytz2020.1indirect
PyPIpyyaml5.3.1indirect
PyPIpyzmq19.0.2indirect
PyPIqtconsole4.7.7indirect
PyPIqtpy1.9.0indirect
PyPIray—indirect
PyPIregex2020.7.14indirect
PyPIrequests2.22.0indirect
PyPIretrying1.3.3indirect
PyPIrouge-score—indirect
PyPIsacrebleu—indirect
PyPIsacremoses0.0.43indirect
PyPIscikit-learn—indirect
PyPIscipy—indirect
PyPIsend2trash1.5.0indirect
PyPIsentencepiece—indirect
PyPIsentencepiece0.1.91indirect
PyPIseqeval—indirect
PyPIsix1.14.0indirect
PyPIstreamlit—indirect
PyPItensorboard—indirect
PyPItensorboardx1.8indirect
PyPItensorflow-datasets—indirect
PyPIterminado0.8.3indirect
PyPItestpath0.4.4indirect
PyPItokenizers0.8.1rc2indirect
PyPItorch—indirect
PyPItorch1.6.0indirect
PyPItorchvision0.7.0indirect
PyPItornado6.0.4indirect
PyPItqdm4.48.2indirect
PyPItraitlets—indirect
PyPItransformers—indirect
PyPItransformers3.5.1indirect
PyPIurllib31.26.5indirect
PyPIwcwidth0.2.5indirect
PyPIwebencodings0.5.1indirect
PyPIwget3.2indirect
PyPIwidgetsnbextension3.5.1indirect
PyPIxxhash2.0.0indirect
Dependency advisories 27

This repository publishes no package the index resolves, so its own dependency graph was assessed — 101 packages, which also include development and test pins that never ship: 27 carry known advisories, of which 0 are direct. 30 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
gitpython3.0.2indirectcritical343.1.58
joblib0.16.0indirectcritical21.2.0
pillow8.3.2indirectcritical4812.3.0
certifi2022.12.7indirecthigh42024.7.4
click7.1.2indirecthigh18.3.3
future0.18.2indirecthigh20.18.3
idna2.8indirecthigh43.15
jinja22.11.2indirecthigh103.1.6
jupyter-core4.6.3indirecthigh45.8.1
mistune0.8.4indirecthigh283.3.0
msgpack0.6.2indirecthigh21.2.1
notebook6.4.1indirecthigh46.4.12
opencv-python4.4.0.42indirecthigh24.8.1.78
filelock3.0.12indirectmoderate43.20.3
nbconvert6.0.1indirectmoderate47.17.0
numpy1.19.2indirectmoderate21.22
pyarrow1.0.1indirectunknown2—
pygments2.6.1indirectunknown8—
pytorch-lightning1.0.4indirectunknown10—
pyyaml5.3.1indirectunknown2—
requests2.22.0indirectunknown8—
sentencepiece0.1.91indirectunknown2—
torch1.6.0indirectunknown30—
tornado6.0.4indirectunknown27—
tqdm4.48.2indirectunknown2—
transformers3.5.1indirectunknown50—
urllib31.26.5indirectunknown16—

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.

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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 v0.31.0 — full methodology · metrics wiki.

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