Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 01:09 UTC

hibare / Moni

Application to monitor HTTP services

Python · Vue · TypeScriptMIT★ 1 star⑂ 2 forkssince Nov 2019View on GitHub ↗
KindNetwork serviceWeb interfacehow this is determined

hibare/Moni holds a health index of 48 out of 100, placing it in the Weak band. It scores highest on Vitality (72/100) and lowest on Community & Adoption (12/100). It was last updated 12 days ago. A single contributor accounts for most of its recent work.

48
overall / 100
Weak

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.

48
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

Shubham HibarePersonal account
15 followers43 public repossince Jul 2016

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 publish
PyPIMoni0.1.1-1511 days ago

Metrics by category

Vitality

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

72Good · 21% of overall
How it's scored
28.8/36Push recency — last push 12 days ago
25.6/36Commit cadence — 37/52 weeks with commits
18/18Commit volume — 106 commits in the last year
8/10OpenSSF Scorecard: Maintained — 10 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 8
Inputs used
commits_last_year106
human_commit_share0.16
days_since_last_push12
active_weeks_last_year37
How it's scored
27/27Ships releases — 22 releases published
0/36Release recency — latest release 1,649 days ago
27/27Release cadence — a release every ~10.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count22
latest_release_tagv0.7.1
releases_from_tagsno
days_since_latest_release1,649
mean_days_between_releases10.3
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?

12Critical · 17% of overall
How it's scored
0/60Stars — 1 stars
0/25Forks — 2 forks
0/15Watchers — 0 watchers
Inputs used
forks2
stars1
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
0/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeno
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

47Weak · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.998
How it's scored
42/42Issue resolution — 100% of issues closed
17.9/30PR acceptance — 508/853 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/7 approved changesets -- score normalized to 0
Inputs used
merged_prs508
open_issues0
closed_issues21
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs345
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
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
8.7/25Owner reach — 15 followers of hibare
24/25Track record — 43 public repos, account ~10 yr old
Inputs used
followers15
owner_typeUser
is_verified—
owner_loginhibare
public_repos43
account_age_days3,704
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
14/35Publish recency — latest publish 511 days ago
4/20Version history — 1 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesMoni
ecosystemspypi
any_deprecatedno
min_days_since_publish511

Engineering Quality

Are baseline engineering and documentation practices in place?

54Moderate · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
0/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsno
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

20At Risk
How it's scored
0/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 3 topics
0/10Wiki
Inputs used
topicsdjango, monitor, health-check
has_wikino
homepage—
docs_site—
has_readmeno
has_docs_dirno
has_descriptionyes

Security

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

57Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/7 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
6/7.5Maintained — 10 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 8
0/5Packaging — no data
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 19 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.2
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.
How it's scored
3.5/35Direct dependencies free of known advisories — 8 affected: django 3.0.7 (critical 9.8), sqlparse 0.3.0 (high 7.5), sqlparse 0.5.5 (high 7.5), +5 more
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
22.4/40No advisories left outstanding — 4 advisory-carrying package(s) unaddressed past 90 days; oldest published 2,203 days ago
Inputs used
sourceosv
advisories115
affected_packages16
assessed_packages310
unassessed_packages0
affected_by_severitycritical 1, high 9, moderate 6
direct_affected_packages8
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 310 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.

46Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrap — Makefile
0/22Automated tests
11/11Lint / format config
11/11Static type checking — frontend/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 83 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsno
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsfrontend/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.83
How it's scored
27/45Type-checkable code — Python with type-check config (frontend/tsconfig.json)
55/55Manageable file sizes — 0/110 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes7,740
source_files_sampled110
oversized_source_files0

Key facts

1GitHub stars
2contributors
106commits, last 12 months
12days since last push
22releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'Moni' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 2 ⇿
0Stars
2Forks

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.

111222212019-122020-082021-03

Each point covers 2 days.

OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-09-14 01:08 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
10CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/7 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
8Maintained10 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 8
n/aPackagingpackaging workflow not detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities19 existing vulnerabilities detected
Direct dependencies 37
RegistryPackageVersion constraintManifest
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All dependencies 310

Full resolved dependency set from the GitHub dependency graph: 48 direct and 262 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmknitwork1.2.0indirect
npmlightningcss1.32.0indirect
npmlightningcss-android-arm641.32.0indirect
npmlightningcss-darwin-arm641.32.0indirect
npmlightningcss-darwin-x641.32.0indirect
npmlightningcss-freebsd-x641.32.0indirect
npmlightningcss-linux-arm-gnueabihf1.32.0indirect
npmlightningcss-linux-arm64-gnu1.32.0indirect
npmlightningcss-linux-arm64-musl1.32.0indirect
npmlightningcss-linux-x64-gnu1.32.0indirect
npmlightningcss-linux-x64-musl1.32.0indirect
npmlightningcss-win32-arm64-msvc1.32.0indirect
npmlightningcss-win32-x64-msvc1.32.0indirect
npmlocal-pkg1.1.2indirect
npmmagic-string0.30.21indirect
npmmagic-string-ast1.0.3indirect
npmmath-intrinsics1.1.0indirect
npmmime-db1.52.0indirect
npmmime-types2.1.35indirect
npmmitt3.0.1indirect
npmmlly1.8.2indirect
npmms2.1.3indirect
npmmuggle-string0.4.1indirect
npmnanoid3.3.15indirect
npmnode-addon-api7.1.1indirect
npmnode-fetch-native1.6.6indirect
npmnypm0.6.0indirect
npmohash2.0.11indirect
npmpath-browserify1.0.1indirect
npmpathe2.0.3indirect
npmperfect-debounce1.0.0indirect
npmperfect-debounce2.1.0indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.4indirect
npmpkg-types1.3.1indirect
npmpkg-types2.3.0indirect
npmpostcss8.5.16indirect
npmproxy-from-env2.1.0indirect
npmquansync0.2.11indirect
npmrc92.1.2indirect
npmreaddirp4.0.2indirect
npmreaddirp5.0.0indirect
npmrfdc1.4.1indirect
npmrolldown1.1.4indirect
npmsass1.101.0indirect
npmscule1.3.0indirect
npmsemver7.7.2indirect
npmsource-map-js1.2.1indirect
npmspeakingurl14.0.1indirect
npmstd-env3.9.0indirect
npmstrip-literal3.0.0indirect
npmsuperjson2.2.5indirect
npmtinyexec0.3.2indirect
npmtinyglobby0.2.17indirect
npmtslib2.8.1indirect
npmtypescript6.0.3indirect
npmufo1.6.4indirect
npmunctx2.4.1indirect
npmunimport5.0.1indirect
npmunplugin2.3.11indirect
npmunplugin3.0.0indirect
npmunplugin-utils0.2.4indirect
npmunplugin-utils0.3.1indirect
npmuntyped2.0.0indirect
npmvite8.1.3indirect
npmvscode-uri3.1.0indirect
npmvue-tsc3.3.6indirect
npmwebpack-virtual-modules0.6.2indirect
npmyaml2.9.0indirect
PyPIamqp2.5.2indirect
PyPIautopep82.3.2indirect
PyPIbilliard3.6.3.0indirect
PyPIbuild1.5.0indirect
PyPIcelery4.4.1indirect
PyPIcertifi2019.11.28indirect
PyPIcertifi2025.4.26indirect
PyPIchardet3.0.4indirect
PyPIcharset-normalizer3.4.2indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIdjango-celery-beat2.0.0indirect
PyPIdjango-celerybeat-status0.0.10indirect
PyPIdjango-timezone-field4.0indirect
PyPIhoncho1.0.1indirect
PyPIidna2.8indirect
PyPIidna3.10indirect
PyPIimportlib-metadata1.4.0indirect
PyPIkombu4.6.8indirect
PyPImoni0.1.0indirect
PyPIpycodestyle2.14.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpython-crontab2.4.0indirect
PyPIpython-dateutil2.8.1indirect
PyPIredis3.3.11indirect
PyPItomli2.4.1indirect
PyPIuritemplate4.2.0indirect
PyPIvine1.3.0indirect
PyPIwheel0.47.0indirect
PyPIzipp2.1.0indirect
Dependency advisories 16

This repository publishes no package the index resolves, so its own dependency graph was assessed — 310 packages, which also include development and test pins that never ship: 16 carry known advisories, of which 8 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
django3.0.7directcritical296.0.8
sqlparse0.3.0directhigh150.6.0
sqlparse0.5.5directhigh100.6.0
urllib31.25.8directhigh202.7.0
celery4.4.1indirecthigh25.2.2
certifi2019.11.28indirecthigh52024.7.4
idna2.8indirecthigh43.15
immutable5.1.5indirecthigh25.1.8
nanoid3.3.15indirecthigh25.1.16
postcss8.5.16indirecthigh28.5.23
django6.0.6directmoderate76.0.8
djangorestframework3.17.1directmoderate43.17.2
quasar2.21.0directmoderate12.22.0
requests2.23.0directmoderate82.33.0
idna3.10indirectmoderate23.15
zipp2.1.0indirectmoderate23.19.1

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.

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 v0.34.0 — full methodology · metrics wiki.

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