Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 06:09 UTC

mahdikiani / fastapi-mongo-base

PythonMIT★ 2 stars⑂ 1 forksince Sep 2024View on GitHub ↗
KindLibraryNetwork servicehow this is determined

mahdikiani/fastapi-mongo-base holds a health index of 65 out of 100, placing it in the Good band. It scores highest on Vitality (80/100) and lowest on Community & Adoption (39/100). It was last updated 16 days ago. A single contributor accounts for most of its recent work.

65
overall / 100
Good

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.

65
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 60 is calibrated to 65 on the published index scale (record calibration 2026-08-02).

Ownership

mahdi kianiPersonal account
13 followers34 public repossince Oct 2013

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
PyPIfastapi-mongo-base1.8.112,30628216 days agofastapimongodbbeanie

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

75Good
How it's scored
28.8/36Push recency — last push 16 days ago
18/36Commit cadence — 26/52 weeks with commits
18/18Commit volume — 135 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year135
human_commit_share1
days_since_last_push16
active_weeks_last_year26

Release discipline

88Excellent
How it's scored
16.2/27Ships releases — 4 version tags (no GitHub releases)
36/36Release recency — latest release 16 days ago
27/27Release cadence — a release every ~6.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count4
latest_release_tag1.8.11
releases_from_tagsyes
days_since_latest_release16
mean_days_between_releases6.4
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?

39Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 2 stars
0/25Forks — 1 forks
0/15Watchers — 1 watchers
Inputs used
forks1
stars2
watchers1
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 (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

56Moderate
How it's scored
44.8/80Monthly downloads — 2,306 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesfastapi-mongo-base
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,306
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?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

24At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.9/22.5Commit distribution — top contributor authored 96% of commits
4.1/13.5Contributor breadth — 3 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.959

Issue & PR responsiveness

78Good
How it's scored
42/42Issue resolution — 100% of issues closed
25.7/30PR acceptance — 6/7 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/29 approved changesets -- score normalized to 0
Inputs used
merged_prs6
open_issues0
closed_issues4
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs1
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

52Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
8.2/25Owner reach — 13 followers of mahdikiani
23.2/25Track record — 34 public repos, account ~12 yr old
Inputs used
followers13
owner_typeUser
is_verified—
owner_loginmahdikiani
public_repos34
account_age_days4,729
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 16 days ago
20/20Version history — 282 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfastapi-mongo-base
ecosystemspypi
any_deprecatedno
min_days_since_publish16

Engineering Quality

Are baseline engineering and documentation practices in place?

64Moderate · 19% of overall

Engineering practices

64Moderate
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

65Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

55Moderate · 16% of overall

Security posture

44Weak
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 1 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
0/7.5Code-Review — Found 1/29 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 4 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 0 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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.4
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_packages31
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:fastapi-mongo-base@1.8.11 runtime dependency closure — what installing the published package pulls in — 31 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.

49Weak · 4% of overall

Agent context & guidance

36Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
35.7/40Legible commit history — 67 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.67
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

46Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff]), tox.ini
11/11Static type checking — src/fastapi_mongo_base/py.typed
0/10Reproducible environment
2/10Demonstrated agent practice — 1 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
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/fastapi_mongo_base/py.typed
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/fastapi_mongo_base/py.typed)
55/55Manageable file sizes — 0/99 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes35,658
source_files_sampled99
oversized_source_files0

Key facts

2GitHub stars
3contributors
135commits, last 12 months
16days since last push
4releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 4.4 / 10
4.4aggregate

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 · 2026-09-18 06:09 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/29 approved changesets -- score normalized to 0
10Contributorsproject has 4 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 0 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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
PyPIpydantic>=2.13.4pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIsingleton_package>=0.8.2pyproject.toml
PyPIjson-advanced>=0.13.0pyproject.toml
PyPIpytz>=2026.2pyproject.toml
PyPIbeanie>=1.30.0pyproject.toml
PyPIfastapi>=0.129.0pyproject.toml
PyPIuvicorn>=0.41.0pyproject.toml
PyPIuuid6>=2025.0.1pyproject.toml
PyPItyping_extensions>=4.5.0pyproject.toml
PyPIpydantic-settings>=2.14.2pyproject.toml
All dependencies 86

Full resolved dependency set from the GitHub dependency graph: 21 direct and 65 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeanie—direct
PyPIbeanie2.1.0direct
PyPIfastapi—direct
PyPIfastapi0.139.0direct
PyPIhttpx—direct
PyPIhttpx0.28.1direct
PyPIjson-advanced—direct
PyPIjson-advanced0.13.0direct
PyPIpydantic—direct
PyPIpydantic2.13.4direct
PyPIpydantic-settings—direct
PyPIpydantic-settings2.14.2direct
PyPIpytz—direct
PyPIpytz2026.2direct
PyPIsingleton-package—direct
PyPIsingleton-package0.8.2direct
PyPItyping-extensions4.16.0direct
PyPIuuid6—direct
PyPIuuid62025.0.1direct
PyPIuvicorn—direct
PyPIuvicorn0.51.0direct
PyPIaiocache0.12.3indirect
PyPIaiosqlite—indirect
PyPIaiosqlite0.22.1indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.1indirect
PyPIasync-timeout5.0.1indirect
PyPIasyncpg—indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.0indirect
PyPIcryptography49.0.0indirect
PyPIdnspython2.8.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastapi-mongo-base1.5.2indirect
PyPIgreenlet—indirect
PyPIgreenlet3.5.3indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.8.0indirect
PyPIhttpx2—indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIlazy-model0.4.0indirect
PyPImongomock4.3.0indirect
PyPImongomock-motor0.0.36indirect
PyPImotor3.7.1indirect
PyPImypy—indirect
PyPIpackaging26.2indirect
PyPIpluggy1.6.0indirect
PyPIprometheus-client—indirect
PyPIprometheus-client0.25.0indirect
PyPIpsycopg2-binary—indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpymongo4.17.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpyyaml6.0.3indirect
PyPIredis—indirect
PyPIredis8.0.1indirect
PyPIruff—indirect
PyPIsentinels1.1.1indirect
PyPIsentry-sdk—indirect
PyPIsentry-sdk2.64.0indirect
PyPIsqlalchemy—indirect
PyPIsqlalchemy2.0.51indirect
PyPIstarlette1.3.1indirect
PyPItomli2.4.1indirect
PyPIty—indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIusso—indirect
PyPIusso0.31.6indirect
PyPIusso-jwt0.2.10indirect
PyPIuvloop0.22.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.1indirect
Dependency advisories 0

Installing pypi:fastapi-mongo-base@1.8.11 pulls in 31 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

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.