Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 21:07 UTC

microsoft / BlingFire

A lightning fast Finite State machine and REgular expression manipulation library.

C++MIT★ 1,892 stars⑂ 142 forkssince Mar 2019View on GitHub ↗

microsoft/BlingFire holds a health index of 32 out of 100, placing it in the At Risk band. It scores highest on Community & Adoption (79/100) and lowest on Vitality (18/100). It was last updated 648 days ago. A single contributor accounts for most of its recent work.

32
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.

32
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 52 is calibrated to 53 on the published index scale (record calibration 2026-08-02).

Ownership

MicrosoftOrganization · verified domain
129,889 followers8,309 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
PyPIblingfire0.1.8908,113191819 days ago

Metrics by category

Vitality

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

18Critical · 21% of overall
How it's scored
0/36Push recency — last push 648 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year0
human_commit_share0.97
days_since_last_push648
active_weeks_last_year0
How it's scored
27/27Ships releases — 4 releases published
0/36Release recency — latest release 1,819 days ago
12.6/27Release cadence — a release every ~152 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count4
latest_release_tagv0.1.8
releases_from_tagsno
days_since_latest_release1,819
mean_days_between_releases152

Community & Adoption

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

79Good · 17% of overall
How it's scored
53.2/60Stars — 1,892 stars
17.9/25Forks — 142 forks
8/15Watchers — 29 watchers
Inputs used
forks142
stars1,892
watchers29
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
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
How it's scored
79.4/80Monthly downloads — 908,113 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesblingfire
dependents—
ecosystemspypi
total_downloads—
monthly_downloads908,113
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?

65Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7/22.5Commit distribution — top contributor authored 69% of commits
13.5/13.5Contributor breadth — 19 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled19
top_contributor_share0.69
How it's scored
18.9/42Issue resolution — 45% of issues closed
27/30PR acceptance — 100/111 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs100
open_issues39
closed_issues32
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.451
closed_unmerged_prs11
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.
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 129,889 followers of microsoft
25/25Track record — 8,309 public repos, account ~12 yr old
Inputs used
followers129,889
owner_typeOrganization
is_verifiedyes
owner_loginmicrosoft
public_repos8,309
account_age_days4,664
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
4/35Publish recency — latest publish 1,819 days ago
20/20Version history — 19 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesblingfire
ecosystemspypi
any_deprecatedno
min_days_since_publish1,819

Engineering Quality

Are baseline engineering and documentation practices in place?

48Weak · 19% of overall
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 — no data
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
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?

52Moderate · 16% of overall
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsdist-pypi/setup.py, scripts/requirements.txt
has_codeql_workflowno
has_security_policyyes
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. 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
advisories178
affected_packages13
assessed_packages40
unassessed_packages0
affected_by_severitycritical 2, high 7, moderate 2, low 2
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 40 resolved dependencies against OSV. 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.

61Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
15.9/40Legible commit history — 29 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.299
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — wasm/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checking — C++ (statically typed)
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageyes
bootstrap_fileswasm/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifestsnuget/lib/BlingFireNuget.csproj, nuget/test/BlingUtilsTest.csproj
dependency_bot_commit_share0.01
How it's scored
45/45Type-checkable code — C++ (statically typed)
54.7/55Manageable file sizes — 3/626 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes60,650
source_files_sampled626
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 — notebooks
Inputs used
example_dirsnotebooks
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

1,892GitHub stars
19contributors
0commits, last 12 months
648days since last push
4releases
1bus factor
39open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 142 ⇿
0Stars
142Forks
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.

0255075100125150138282019-032022-122026-08
Major 0Minor 0Patch 4

Each point covers 7 days.

All dependencies 40

Full resolved dependency set from the GitHub dependency graph: 0 direct and 40 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
NuGetBlingFireNuget0.1.8indirect
PyPIasn1crypto0.24.0indirect
PyPIbcrypt3.1.4indirect
PyPIcertifi2018.10.15indirect
PyPIcffi1.11.5indirect
PyPIchardet3.0.4indirect
PyPIcryptography3.3.2indirect
PyPIcymem2.0.2indirect
PyPIcython0.29.1indirect
PyPIcytoolz0.9.0.1indirect
PyPIdill0.2.8.2indirect
PyPIen-core-web-sm2.0.0indirect
PyPIfabric2.4.0indirect
PyPIfabtools0.20.0indirect
PyPIidna2.7indirect
PyPIinvoke1.2.0indirect
PyPImsgpack0.5.6indirect
PyPImsgpack-numpy0.4.3.2indirect
PyPImurmurhash1.0.1indirect
PyPInltk3.4.5indirect
PyPInumpy1.15.4indirect
PyPIparamiko2.4.2indirect
PyPIplac0.9.6indirect
PyPIpreshed2.0.1indirect
PyPIpsutil5.6.6indirect
PyPIpyasn10.4.4indirect
PyPIpycparser2.19indirect
PyPIpynacl1.3.0indirect
PyPIpyreadline2.1indirect
PyPIregex2018.1.10indirect
PyPIrequests2.20.1indirect
PyPIsix1.11.0indirect
PyPIspacy2.0.16indirect
PyPIstanfordcorenlp3.9.1.1indirect
PyPIthinc6.12.0indirect
PyPItoolz0.9.0indirect
PyPItqdm4.28.1indirect
PyPIujson1.35indirect
PyPIurllib31.26.5indirect
PyPIwrapt1.10.11indirect
Dependency advisories 13

This repository publishes no package the index resolves, so its own dependency graph was assessed — 40 packages, which also include development and test pins that never ship: 13 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
nltk3.4.5indirectcritical903.10.3
numpy1.15.4indirectcritical81.22
certifi2018.10.15indirecthigh52024.7.4
cryptography3.3.2indirecthigh20300.0.12
idna2.7indirecthigh43.15
msgpack0.5.6indirecthigh21.2.1
pyasn10.4.4indirecthigh80.6.4
ujson1.35indirecthigh105.13.0
urllib31.26.5indirecthigh162.7.0
pynacl1.3.0indirectmoderate23.6.1
requests2.20.1indirectmoderate82.33.0
paramiko2.4.2indirectlow32.10.1
tqdm4.28.1indirectlow24.66.3

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.