Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-22 04:58 UTC

mornyeapp / Mornye-Python

Python module to fetch Spotify track metadata and retrieve matching lossless audio through configurable Tidal, Qobuz, Deezer & Amazon Music providers.

PythonMIT★ 51 stars⑂ 2 forkssince Jan 2026View on GitHub ↗

KindCommand-line toolNetwork serviceLibraryDesktop applicationTerminal interfacehow this is determined

#music-downloader #spotify-downloader #spotify #downloader #modules #python #asyncio #cli-tool #command-line #discord-bot #flac #music-metadata #pip-package #telegrambot #apple-music #deezer #qobuz #tidal

mornyeapp/Mornye-Python holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (36/100). It was last updated today. A single contributor accounts for most of its recent work.

overall / 100

Excellent

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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

Mornye Open Source ProjectOrganization

414 followers5 public repossince Apr 2026

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	Tags
PyPI	mornye	1.0.3	0	2	1 day ago	spotify flac downloader music lossless lossless-music tidal qobuz amazon-music audio mornye spotify-metadata no-account hi-res

Metrics by category

Vitality

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

91Excellent · 21% of overall

Development activity

92Excellent

How it's scored

36/36	Push recency — last push 0 days ago
27.7/36	Commit cadence — 40/52 weeks with commits
18/18	Commit volume — 1,510 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	1,510
human_commit_share	0.92
days_since_last_push	0
active_weeks_last_year	40

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 4 releases published
36/36	Release recency — latest release 1 days ago
27/27	Release cadence — a release every ~0 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	4
latest_release_tag	v1.0.3
releases_from_tags	no
days_since_latest_release	1
mean_days_between_releases	0

Community & Adoption

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

36Weak · 17% of overall

Popularity & adoption

29At Risk

How it's scored

27.6/60	Stars — 51 stars
0/25	Forks — 2 forks
1.7/15	Watchers — 3 watchers

Inputs used

forks	2
stars	51
watchers	3
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

70Good

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (MIT)
18/18	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	7
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

1Critical

How it's scored

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

Inputs used

packages	mornye
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	0
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?

64Moderate · 23% of overall

Maintainer resilience (bus factor)

37Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
4.1/22.5	Commit distribution — top contributor authored 82% of commits
13.5/13.5	Contributor breadth — 12 contributors
10/10	OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	12
top_contributor_share	0.819

Issue & PR responsiveness

80Excellent

How it's scored

41.2/42	Issue resolution — 98% of issues closed
29/30	PR acceptance — 168/174 decided PRs merged
9.8/13	Newcomer PR acceptance — 3/4 first-time contributors' PRs merged in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 1/28 approved changesets -- score normalized to 0

Inputs used

merged_prs	168
open_issues	1
closed_issues	55
prs_merged_7d	4
prs_decided_7d	4
prs_merged_30d	10
prs_decided_30d	11
issue_closed_ratio	0.982
closed_unmerged_prs	6
first_time_authors_30d	3
first_time_prs_merged_30d	3
first_time_prs_decided_30d	4

Ownership & stewardship

56Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
18.8/25	Owner reach — 414 followers of mornyeapp
6.7/25	Track record — 5 public repos, account ~0 yr old

Inputs used

followers	414
owner_type	Organization
is_verified	no
owner_login	mornyeapp
public_repos	5
account_age_days	190

Package maintenance

92Excellent

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 1 days ago
12/20	Version history — 2 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	mornye
ecosystems	pypi
any_deprecated	no
min_days_since_publish	1

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 4 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff], [tool.black])
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://mornyeapp.github.io/Mornye-Python/
10/10	Repository description
10/10	Topics — 18 topics
0/10	Wiki

Inputs used

topics	music-downloader, spotify-downloader, spotify, downloader, modules, python, asyncio, cli-tool, command-line, discord-bot, flac, music-metadata, pip-package, telegrambot, apple-music, deezer, qobuz, tidal
has_wiki	no
homepage	https://mornyeapp.github.io/Mornye-Python/
docs_site	https://mornyeapp.github.io/Mornye-Python/
has_readme	yes
has_docs_dir	yes
has_description	yes

Security

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

58Moderate · 16% of overall

Security posture

48Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5	CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5	Code-Review — Found 1/28 approved changesets -- score normalized to 0
2.5/2.5	Contributors — project has 7 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5	Dependency-Update-Tool — update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 5 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 — SAST tool is not run on all commits -- score normalized to 0
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
0.8/7.5	Vulnerabilities — 9 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	4.8

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	68
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:mornye@1.0.3 runtime dependency closure — what installing the published package pulls in — 68 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.

52Moderate · 4% of overall

Agent context & guidance

20At Risk

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
19.7/40	Legible commit history — 34 of 92 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.37
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

66Good

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff], [tool.black])
11/11	Static type checking — mornye/py.typed
10/10	Reproducible environment — Dockerfile, lockfile
4/10	Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 2 of the last 100 commits are automated dependency updates
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	uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	mornye/py.typed
agent_commit_share	0.02
toolchain_manifests	—
dependency_bot_commit_share	0.02

Code legibility for models

81Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (mornye/py.typed)
53.6/55	Manageable file sizes — 9/346 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	293,498
source_files_sampled	346
oversized_source_files	9

Key facts

51GitHub stars

12contributors

1,510commits, last 12 months

0days since last push

4releases

1bus factor

1open issues

PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 2 ⇿

0Stars

2Forks

3Releases

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.

Major 1Minor 0Patch 2

OpenSSF Scorecard 4.8 / 10

4.8aggregate

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 · 2026-10-22 04:58 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
10	CI-Tests	1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
0	Code-Review	Found 1/28 approved changesets -- score normalized to 0
10	Contributors	project has 7 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 5 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	SAST tool is not run on all commits -- score normalized to 0
10	Security-Policy	security policy file detected
0	Signed-Releases	Project has not signed or included provenance with any releases.
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
1	Vulnerabilities	9 existing vulnerabilities detected

Direct dependencies 22

Registry	Package	Version constraint	Manifest
PyPI	httpx	`>=0.27.0`	pyproject.toml
PyPI	mutagen	`>=1.47.0`	pyproject.toml
PyPI	Pillow	`>=13.0.0`	pyproject.toml
PyPI	pydantic	`>=2.7.0`	pyproject.toml
PyPI	cryptography	`>=50.0.0`	pyproject.toml
PyPI	pycryptodome	`>=3.20.0`	pyproject.toml
PyPI	packaging	`>=23.0`	pyproject.toml
PyPI	yt-dlp	`>=2026.7.4`	pyproject.toml
PyPI	tqdm	`>=4.66.3`	pyproject.toml
PyPI	pywebview	`>=5.0.0`	pyproject.toml
PyPI	textual	`>=1.0`	pyproject.toml
PyPI	aiofiles	`>=23.2.1`	pyproject.toml
PyPI	tenacity	`>=8.3.0`	pyproject.toml
PyPI	python-dotenv	`>=1.2.2`	pyproject.toml
PyPI	requests	`>=2.33.0`	pyproject.toml
PyPI	pydoll-python	`>=2.19.0`	pyproject.toml
PyPI	multidict	`>=6.9.1`	pyproject.toml
PyPI	numpy	`>=1.24.0`	pyproject.toml
PyPI	soundfile	`>=0.12.1`	pyproject.toml
PyPI	fastapi	`>=0.110.0`	pyproject.toml
PyPI	uvicorn	`>=0.29.0`	pyproject.toml
PyPI	pyacoustid	`>=1.3.0`	pyproject.toml

All dependencies 145

Full resolved dependency set from the GitHub dependency graph: 45 direct and 100 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	aiofiles	`—`	direct
PyPI	aiofiles	`25.1.0`	direct
PyPI	cryptography	`—`	direct
PyPI	cryptography	`50.0.1`	direct
PyPI	fastapi	`—`	direct
PyPI	fastapi	`0.141.1`	direct
PyPI	httpx	`—`	direct
PyPI	httpx	`0.28.1`	direct
PyPI	multidict	`—`	direct
PyPI	multidict	`7.1.0`	direct
PyPI	mutagen	`—`	direct
PyPI	mutagen	`1.48.1`	direct
PyPI	numpy	`—`	direct
PyPI	numpy	`2.4.6`	direct
PyPI	numpy	`2.5.2`	direct
PyPI	packaging	`—`	direct
PyPI	packaging	`26.3`	direct
PyPI	pillow	`—`	direct
PyPI	pillow	`13.0.0`	direct
PyPI	pyacoustid	`—`	direct
PyPI	pyacoustid	`1.3.1`	direct
PyPI	pycryptodome	`—`	direct
PyPI	pycryptodome	`3.23.0`	direct
PyPI	pydantic	`—`	direct
PyPI	pydantic	`2.13.5`	direct
PyPI	pydoll-python	`—`	direct
PyPI	pydoll-python	`2.26.0`	direct
PyPI	python-dotenv	`—`	direct
PyPI	python-dotenv	`1.2.3`	direct
PyPI	pywebview	`—`	direct
PyPI	pywebview	`6.2.1`	direct
PyPI	requests	`—`	direct
PyPI	requests	`2.34.2`	direct
PyPI	soundfile	`—`	direct
PyPI	soundfile	`0.14.0`	direct
PyPI	tenacity	`—`	direct
PyPI	tenacity	`9.1.4`	direct
PyPI	textual	`—`	direct
PyPI	textual	`8.2.8`	direct
PyPI	tqdm	`—`	direct
PyPI	tqdm	`4.70.0`	direct
PyPI	uvicorn	`—`	direct
PyPI	uvicorn	`0.52.4`	direct
PyPI	yt-dlp	`—`	direct
PyPI	yt-dlp	`2026.8.19`	direct
PyPI	aiohappyeyeballs	`2.7.1`	indirect
PyPI	aiohttp	`3.14.5`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	annotated-doc	`0.0.5`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	anyio	`4.14.2`	indirect
PyPI	ast-serialize	`0.8.0`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	audioop-lts	`0.2.2`	indirect
PyPI	audioread	`3.1.0`	indirect
PyPI	backports-tarfile	`1.2.0`	indirect
PyPI	black	`—`	indirect
PyPI	black	`26.5.1`	indirect
PyPI	bottle	`0.13.4`	indirect
PyPI	certifi	`2026.10.19`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.5.1`	indirect
PyPI	click	`8.5.0`	indirect
PyPI	clr-loader	`0.3.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	coverage	`7.16.0`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	filelock	`3.32.4`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	h2	`4.4.1`	indirect
PyPI	hpack	`4.2.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httptools	`0.8.0`	indirect
PyPI	hyperframe	`6.1.0`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.19`	indirect
PyPI	importlib-metadata	`9.0.1`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jaraco-classes	`3.4.0`	indirect
PyPI	jaraco-context	`6.1.2`	indirect
PyPI	jaraco-functools	`4.6.0`	indirect
PyPI	jeepney	`0.9.0`	indirect
PyPI	keyring	`25.7.0`	indirect
PyPI	librt	`0.15.0`	indirect
PyPI	linkify-it-py	`2.2.0`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	mdit-py-plugins	`0.6.1`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	more-itertools	`11.2.1`	indirect
PyPI	mornye	`1.0.3`	indirect
PyPI	mypy	`—`	indirect
PyPI	mypy	`2.3.1`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	platformdirs	`4.11.5`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`—`	indirect
PyPI	pre-commit	`4.6.2`	indirect
PyPI	propcache	`0.5.2`	indirect
PyPI	proxy-tools	`0.1.0`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic-core	`2.46.5`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pyobjc-core	`12.2.2`	indirect
PyPI	pyobjc-framework-cocoa	`12.2.2`	indirect
PyPI	pyobjc-framework-quartz	`12.2.2`	indirect
PyPI	pyobjc-framework-security	`12.2.2`	indirect
PyPI	pyobjc-framework-uniformtypeidentifiers	`12.2.2`	indirect
PyPI	pyobjc-framework-webkit	`12.2.2`	indirect
PyPI	pyspnego	`0.12.4`	indirect
PyPI	pytest	`—`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-cov	`—`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-httpx	`—`	indirect
PyPI	pytest-httpx	`0.36.2`	indirect
PyPI	python-discovery	`1.6.0`	indirect
PyPI	pythonnet	`3.1.0`	indirect
PyPI	pytokens	`0.4.1`	indirect
PyPI	pywin32-ctypes	`0.2.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	qtpy	`2.4.3`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	ruff	`—`	indirect
PyPI	ruff	`0.16.5`	indirect
PyPI	secretstorage	`3.5.0`	indirect
PyPI	smbprotocol	`1.17.0`	indirect
PyPI	sspilib	`0.6.0`	indirect
PyPI	standard-aifc	`3.13.0`	indirect
PyPI	standard-chunk	`3.13.0`	indirect
PyPI	standard-sunau	`3.13.0`	indirect
PyPI	starlette	`1.6.0`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	urllib3	`2.8.0`	indirect
PyPI	uvloop	`0.22.1`	indirect
PyPI	virtualenv	`21.7.13`	indirect
PyPI	watchfiles	`1.2.0`	indirect
PyPI	websockets	`16.1.1`	indirect
PyPI	yarl	`1.25.1`	indirect
PyPI	zipp	`4.1.1`	indirect

Dependency advisories 0

Installing pypi:mornye@1.0.3 pulls in 68 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.

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.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

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