Software health reportschema 0.27.0 · metrics 2.5.0 · 2026-08-02 10:28 UTC

atlasacademy / fgo-game-data-api

HTTP API for FGO game data. Transform the raw game data into something a bit more manageable.

PythonAGPL-3.0★ 91 stars⑂ 15 forkssince May 2020View on GitHub ↗

KindLibraryNetwork servicehow this is determined

#fgo #fate-grand-order #python #fastapi #hacktoberfest

atlasacademy/fgo-game-data-api holds a health index of 54 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (66/100) and lowest on AI Readiness (26/100). It was last updated today. A single contributor accounts for most of its recent work.

overall / 100

Moderate

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.

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)

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 53 is calibrated to 54 on the published index scale (record calibration 2026-08-02).

Ownership

Atlas AcademyOrganization

39 followers46 public repossince Nov 2018

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

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish
PyPI	fgo-api-types	2026.8.2.10.26.43	2,471	462	0 days ago

Metrics by category

Vitality

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

53Moderate · 21% of overall

Development activity

88Excellent

How it's scored

36/36	Push recency — last push 0 days ago
24.2/36	Commit cadence — 35/52 weeks with commits
18/18	Commit volume — 176 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	176
human_commit_share	0.9
days_since_last_push	0
active_weeks_last_year	35

Release discipline

1Critical

How it's scored

0/27	Ships releases — no releases published
0/36	Release recency — no releases
0/27	Release cadence — no releases
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count

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?

50Moderate · 17% of overall

Popularity & adoption

45Weak

How it's scored

31.7/60	Stars — 91 stars
9.6/25	Forks — 15 forks
3.9/15	Watchers — 6 watchers

Inputs used

forks	15
stars	91
watchers	6
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

50Moderate

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (AGPL-3.0)
0/18	CONTRIBUTING guide
0/13.5	Code of conduct
0/7.2	Issue template
0/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	—
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	—
has_pull_request_template	no

Ecosystem adoption (downloads)

56Moderate

How it's scored

45.2/80	Monthly downloads — 2,471 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	fgo-api-types
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	2,471

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?

61Moderate · 23% of overall

Maintainer resilience (bus factor)

39Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
6.2/22.5	Commit distribution — top contributor authored 72% of commits
13.5/13.5	Contributor breadth — 11 contributors
10/10	OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	11
top_contributor_share	0.724

Issue & PR responsiveness

52Moderate

How it's scored

24.2/42	Issue resolution — 58% of issues closed
21.2/30	PR acceptance — 17/24 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0

Inputs used

merged_prs	17
open_issues	11
closed_issues	15
prs_merged_7d	—
prs_decided_7d	—
prs_merged_30d	—
prs_decided_30d	—
issue_closed_ratio	0.577
closed_unmerged_prs	7
first_time_authors_30d	—
first_time_prs_merged_30d	—
first_time_prs_decided_30d	—

Excluded from scoring (no data or not applicable): newcomer_pr_acceptance. Remaining weights renormalized.

Ownership & stewardship

66Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
11.5/25	Owner reach — 39 followers of atlasacademy
24.2/25	Track record — 46 public repos, account ~7 yr old

Inputs used

followers	39
owner_type	Organization
is_verified	—
owner_login	atlasacademy
public_repos	46
account_age_days	2,806

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 0 days ago
20/20	Version history — 462 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	fgo-api-types
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

66Good · 19% of overall

Engineering practices

60Moderate

How it's scored

24/24	CI workflows — 3 workflow(s)
24/24	Tests present
0/16	Linter config
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
0/20	OpenSSF Scorecard: CI-Tests — no data

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	no
has_precommit_config	no

Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

75Good

How it's scored

30/30	README
0/25	Documentation directory
15/15	Documentation / homepage site — https://api.atlasacademy.io
10/10	Repository description
10/10	Topics — 5 topics
10/10	Wiki

Inputs used

topics	fgo, fate-grand-order, python, fastapi, hacktoberfest
has_wiki	yes
homepage	https://api.atlasacademy.io
has_readme	yes
has_docs_dir	no
has_description	yes

Security

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

39Weak · 16% of overall

Security posture

39Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
2.2/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5	CI-Tests — no data
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5	Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5	Contributors — project has 4 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — no SAST tool detected
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5	Vulnerabilities — 40 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	3.9

Excluded from scoring (no data or not applicable): ci_tests, signed_releases. Remaining weights renormalized.

Dependency advisories

40Weak

How it's scored

5.1/35	Direct dependencies free of known advisories — 4 affected: gitpython 3.1.46 (critical 9.8), orjson 3.11.5 (high 7.5), pydantic-settings 2.12.0 (moderate 5.3), +1 more
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
25/40	No advisories left outstanding — 3 advisory-carrying package(s) unaddressed past 90 days; oldest published 191 days ago

Inputs used

source	osv
advisories	66
affected_packages	13
assessed_packages	101
unassessed_packages	1
affected_by_severity	critical 3, high 5, moderate 4, low 1
direct_affected_packages	4

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 101 resolved dependencies against OSV. 1 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.

26At Risk · 4% of overall

Agent context & guidance

1Critical

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
0/40	Legible commit history — 0 of 90 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
legible_history_share	0
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

34At Risk

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
0/11	Lint / format config
0/11	Static type checking
10/10	Reproducible environment — lockfile
2/10	Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8	Automated maintenance — no automated dependency updates observed
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	no
has_tests	yes
lockfiles	poetry.lock
has_dockerfile	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	no
typecheck_configs	—
agent_commit_share	0.01
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

53Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
53/55	Manageable file sizes — 6/164 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	273,914
source_files_sampled	164
oversized_source_files	6

Key facts

91GitHub stars

11contributors

176commits, last 12 months

0days since last push

0releases

1bus factor

11open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Could not fetch pypi package 'fgo-game-data-api' from its registry
deps.dev does not index pypi:fgo-api-types@2026.8.2.10.26.43; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 15 ⇿

0Stars

15Forks

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.

Each point covers 5 days.

OpenSSF Scorecard 3.9 / 10

3.9aggregate

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 · 2026-08-02 10:28 UTC

10	Binary-Artifacts	no binaries found in the repo
3	Branch-Protection	branch protection is not maximal on development and all release branches
n/a	CI-Tests	no pull request found
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
0	Code-Review	Found 0/30 approved changesets -- score normalized to 0
10	Contributors	project has 4 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	no SAST tool detected
0	Security-Policy	security policy file not detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
0	Vulnerabilities	40 existing vulnerabilities detected

Direct dependencies 21

Registry	Package	Version constraint	Manifest
PyPI	pydantic	`^2`	fgo_api_types/pyproject.toml
PyPI	fastapi	`^0.128.0`	pyproject.toml
PyPI	uvicorn	`^0.40.0`	pyproject.toml
PyPI	python-dotenv	`^1.2.1`	pyproject.toml
PyPI	fuzzywuzzy	`^0.18.0`	pyproject.toml
PyPI	orjson	`^3.11.5`	pyproject.toml
PyPI	aiofiles	`^25.1.0`	pyproject.toml
PyPI	GitPython	`^3.1.46`	pyproject.toml
PyPI	SQLAlchemy	`^2.0.45`	pyproject.toml
PyPI	httpx	`^0.28.1`	pyproject.toml
PyPI	fastapi-cache2	`^0.2.2`	pyproject.toml
PyPI	gunicorn	`^23.0.0`	pyproject.toml
PyPI	redis	`^7.1.0`	pyproject.toml
PyPI	hiredis	`^3.3.0`	pyproject.toml
PyPI	psycopg	`^3.3.2`	pyproject.toml
PyPI	pydantic	`^2.12.5`	pyproject.toml
PyPI	zstandard	`^0.25.0`	pyproject.toml
PyPI	uvicorn-worker	`^0.4.0`	pyproject.toml
PyPI	pydantic-settings	`^2.12.0`	pyproject.toml
PyPI	psutil	`^7.2.1`	pyproject.toml
PyPI	loguru	`^0.7.3`	pyproject.toml

All dependencies 102

Full resolved dependency set from the GitHub dependency graph: 21 direct and 81 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	aiofiles	`25.1.0`	direct
PyPI	fastapi	`0.128.0`	direct
PyPI	fastapi-cache2	`0.2.2`	direct
PyPI	fuzzywuzzy	`0.18.0`	direct
PyPI	gitpython	`3.1.46`	direct
PyPI	gunicorn	`23.0.0`	direct
PyPI	hiredis	`3.3.0`	direct
PyPI	httpx	`0.28.1`	direct
PyPI	loguru	`0.7.3`	direct
PyPI	orjson	`3.11.5`	direct
PyPI	psutil	`7.2.1`	direct
PyPI	psycopg	`3.3.2`	direct
PyPI	pydantic	`—`	direct
PyPI	pydantic	`2.12.5`	direct
PyPI	pydantic-settings	`2.12.0`	direct
PyPI	python-dotenv	`1.2.1`	direct
PyPI	redis	`7.1.0`	direct
PyPI	sqlalchemy	`2.0.45`	direct
PyPI	uvicorn	`0.40.0`	direct
PyPI	uvicorn-worker	`0.4.0`	direct
PyPI	zstandard	`0.25.0`	direct
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.12.1`	indirect
PyPI	asgi-lifespan	`2.1.0`	indirect
PyPI	black	`25.12.0`	indirect
PyPI	certifi	`2026.1.4`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	click	`8.3.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	coverage	`7.13.1`	indirect
PyPI	cryptography	`46.0.3`	indirect
PyPI	dnspython	`2.8.0`	indirect
PyPI	email-validator	`2.3.0`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	fastapi-cli	`0.0.20`	indirect
PyPI	fastapi-cloud-cli	`0.11.0`	indirect
PyPI	fastar	`0.8.0`	indirect
PyPI	fuzzywuzzy-stubs	`0.0.1`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	greenlet	`3.3.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	h2	`4.3.0`	indirect
PyPI	hpack	`4.1.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httptools	`0.7.1`	indirect
PyPI	hyperframe	`6.1.0`	indirect
PyPI	idna	`3.11`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	levenshtein	`0.27.3`	indirect
PyPI	librt	`0.7.8`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mypy	`1.19.1`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	pathspec	`1.0.3`	indirect
PyPI	pendulum	`3.1.0`	indirect
PyPI	platformdirs	`4.5.1`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pycparser	`2.23`	indirect
PyPI	pydantic-core	`2.41.5`	indirect
PyPI	pydantic-extra-types	`2.11.0`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pytest	`9.0.2`	indirect
PyPI	pytest-asyncio	`1.3.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-levenshtein	`0.27.3`	indirect
PyPI	python-multipart	`0.0.21`	indirect
PyPI	pytokens	`0.3.0`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	rapidfuzz	`3.14.3`	indirect
PyPI	rich	`14.2.0`	indirect
PyPI	rich-toolkit	`0.17.1`	indirect
PyPI	rignore	`0.7.6`	indirect
PyPI	ruff	`0.14.13`	indirect
PyPI	sentry-sdk	`2.49.0`	indirect
PyPI	setproctitle	`1.3.7`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smmap	`5.0.2`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	starlette	`0.50.0`	indirect
PyPI	typer	`0.21.1`	indirect
PyPI	types-aiofiles	`25.1.0.20251011`	indirect
PyPI	types-cffi	`1.17.0.20250915`	indirect
PyPI	types-orjson	`3.6.2`	indirect
PyPI	types-psutil	`7.2.1.20251231`	indirect
PyPI	types-pyopenssl	`24.1.0.20240722`	indirect
PyPI	types-redis	`4.6.0.20241004`	indirect
PyPI	types-setuptools	`80.9.0.20251223`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2025.3`	indirect
PyPI	urllib3	`2.6.3`	indirect
PyPI	uvloop	`0.22.1`	indirect
PyPI	watchfiles	`1.1.1`	indirect
PyPI	websockets	`16.0`	indirect
PyPI	win32-setctime	`1.2.0`	indirect

Dependency advisories 13

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: 13 carry known advisories, of which 4 are direct. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

Package	Version	Relation	Severity	Advisories	Fixed in
gitpython	`3.1.46`	direct	critical	17	`3.1.55`
black	`25.12.0`	indirect	critical	3	`26.3.1`
cryptography	`46.0.3`	indirect	critical	7	`48.0.1`
orjson	`3.11.5`	direct	high	1	`3.11.6`
click	`8.3.1`	indirect	high	1	`8.3.3`
python-multipart	`0.0.21`	indirect	high	14	`0.0.31`
starlette	`0.50.0`	indirect	high	10	`1.3.1`
urllib3	`2.6.3`	indirect	high	4	`2.7.0`
pydantic-settings	`2.12.0`	direct	moderate	1	`2.14.2`
python-dotenv	`1.2.1`	direct	moderate	2	`1.2.2`
idna	`3.11`	indirect	moderate	2	`3.15`
pytest	`9.0.2`	indirect	moderate	2	`9.0.3`
pygments	`2.19.2`	indirect	low	2	`2.20.0`

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

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 v2.5.0, schema v0.27.0 — full methodology · metrics wiki.

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

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

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