Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-18 06:56 UTC

henrique-coder / perplexity-webui-scraper

An advanced, high-performance Python client, MCP server, and REST API for reverse-engineering Perplexity AI's WebUI.

PythonMIT★ 115 stars⑂ 26 forkssince Mar 2025View on GitHub ↗

KindCommand-line toolLibraryMCP serverhow this is determined

#ai #perplexity #scraper #fastapi #mcp #openapi-compatible

henrique-coder/perplexity-webui-scraper holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Sustainability & Governance (58/100). 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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

Henrique MoreiraPersonal account

16 followers19 public repossince Feb 2021Empresa Brasileira de Correios e Telégrafos

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish	Tags
PyPI	perplexity-webui-scraper	1.1.5	21,822	27	0 days ago	ai fastapi mcp openai-compatible perplexity scraper

Metrics by category

Vitality

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

89Excellent · 21% of overall

Development activity

88Excellent

How it's scored

36/36	Push recency — last push 0 days ago
23.5/36	Commit cadence — 34/52 weeks with commits
18/18	Commit volume — 355 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	355
human_commit_share	0.92
days_since_last_push	0
active_weeks_last_year	34

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 22 releases published
36/36	Release recency — latest release 12 days ago
27/27	Release cadence — a release every ~15.1 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	22
latest_release_tag	v1.1.4
releases_from_tags	no
days_since_latest_release	12
mean_days_between_releases	15.1

Community & Adoption

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

69Good · 17% of overall

Popularity & adoption

48Weak

How it's scored

33.4/60	Stars — 115 stars
11.7/25	Forks — 26 forks
2.7/15	Watchers — 4 watchers

Inputs used

forks	26
stars	115
watchers	4
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

92Excellent

How it's scored

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

Inputs used

has_readme	yes
has_license	yes
readme_badges	3
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

72Good

How it's scored

57.9/80	Monthly downloads — 21,822 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	perplexity-webui-scraper
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	21,822
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?

58Moderate · 23% of overall

Maintainer resilience (bus factor)

23At Risk

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
1.5/22.5	Commit distribution — top contributor authored 93% of commits
6.8/13.5	Contributor breadth — 5 contributors
6/10	OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6

Inputs used

bus_factor	1
contributors_sampled	5
top_contributor_share	0.933

Issue & PR responsiveness

76Good

How it's scored

42/42	Issue resolution — 100% of issues closed
24.4/30	PR acceptance — 39/48 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/2 approved changesets -- score normalized to 0

Inputs used

merged_prs	39
open_issues	0
closed_issues	14
prs_merged_7d	1
prs_decided_7d	1
prs_merged_30d	3
prs_decided_30d	3
issue_closed_ratio	1
closed_unmerged_prs	9
first_time_authors_30d	0
first_time_prs_merged_30d	0
first_time_prs_decided_30d	0

Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

49Weak

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
8.8/25	Owner reach — 16 followers of henrique-coder
20.5/25	Track record — 19 public repos, account ~5 yr old

Inputs used

followers	16
owner_type	User
is_verified	—
owner_login	henrique-coder
public_repos	19
account_age_days	2,015

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

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 — 27 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	perplexity-webui-scraper
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

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
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 4 out of 4 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://henrique-coder.github.io/perplexity-webui-scraper
10/10	Repository description
10/10	Topics — 6 topics
0/10	Wiki

Inputs used

topics	ai, perplexity, scraper, fastapi, mcp, openapi-compatible
has_wiki	no
homepage	https://henrique-coder.github.io/perplexity-webui-scraper
docs_site	https://henrique-coder.github.io/perplexity-webui-scraper
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?

76Good · 16% of overall

Security posture

70Good

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
3/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5	CI-Tests — 4 out of 4 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 0/2 approved changesets -- score normalized to 0
1.5/2.5	Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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 4 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
5/5	Pinned-Dependencies — all dependencies are pinned
5/5	SAST — SAST tool is run on all commits
2/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5	Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5	Vulnerabilities — 0 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	7

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	123
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 123 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.

79Good · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — AGENTS.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 91 of 92 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.989
agent_instruction_files	AGENTS.md
agent_instruction_max_bytes	2,008

Verify loop (build / test / typecheck)

90Excellent

How it's scored

18/18	One-command bootstrap — Justfile
22/22	Automated tests
11/11	Lint / format config
11/11	Static type checking — src/perplexity_webui_scraper/py.typed
10/10	Reproducible environment — lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
8/8	Automated maintenance — 8 of the last 100 commits are automated dependency updates
10/10	OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned

Inputs used

has_nix	no
has_tests	yes
lockfiles	pnpm-lock.yaml, uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	Justfile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	src/perplexity_webui_scraper/py.typed
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0.08

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (src/perplexity_webui_scraper/py.typed)
55/55	Manageable file sizes — 0/62 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	18,913
source_files_sampled	62
oversized_source_files	0

Machine-readable interfaces

33At Risk

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20	MCP server
0/40	Runnable examples

Inputs used

example_dirs	—
has_mcp_signal	yes
api_schema_files	—
interfaces_expected_of	—

Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

115GitHub stars

5contributors

355commits, last 12 months

0days 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
deps.dev does not index pypi:perplexity-webui-scraper@1.1.5; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 26 ⇿

0Stars

26Forks

22Releases

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 4Patch 17

OpenSSF Scorecard 7.0 / 10

7.0aggregate

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 · 2026-08-18 06:56 UTC

10	Binary-Artifacts	no binaries found in the repo
4	Branch-Protection	branch protection is not maximal on development and all release branches
10	CI-Tests	4 out of 4 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 0/2 approved changesets -- score normalized to 0
6	Contributors	project has 2 contributing companies or organizations -- score normalized to 6
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 4 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
10	Pinned-Dependencies	all dependencies are pinned
10	SAST	SAST tool is run on all commits
4	Security-Policy	security policy file detected
0	Signed-Releases	Project has not signed or included provenance with any releases.
10	Token-Permissions	GitHub workflow tokens follow principle of least privilege
10	Vulnerabilities	0 existing vulnerabilities detected

Direct dependencies 5

Registry	Package	Version constraint	Manifest
PyPI	curl-cffi	`>=0.16.0`	pyproject.toml
PyPI	loguru	`>=0.7.0`	pyproject.toml
PyPI	orjson	`>=3.11.0`	pyproject.toml
PyPI	pydantic	`>=2.13.0, <3.0.0`	pyproject.toml
PyPI	typer	`>=0.27.0`	pyproject.toml

All dependencies 123

Full resolved dependency set from the GitHub dependency graph: 5 direct and 118 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	curl-cffi	`0.16.0`	direct
PyPI	loguru	`0.7.3`	direct
PyPI	orjson	`3.12.0`	direct
PyPI	pydantic	`2.13.4`	direct
PyPI	typer	`0.27.1`	direct
npm	@taplo/cli	`0.7.0`	indirect
npm	prettier	`3.9.6`	indirect
PyPI	aiofile	`3.12.3`	indirect
PyPI	annotated-doc	`0.0.5`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	anyio	`4.14.2`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	authlib	`1.7.2`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backports-tarfile	`1.2.0`	indirect
PyPI	backrefs	`8.0`	indirect
PyPI	beartype	`0.22.9`	indirect
PyPI	cachetools	`7.1.7`	indirect
PyPI	caio	`0.12.2`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	charset-normalizer	`3.5.1`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	cryptography	`50.0.0`	indirect
PyPI	cyclopts	`4.23.0`	indirect
PyPI	dnspython	`2.8.0`	indirect
PyPI	docstring-parser	`0.18.0`	indirect
PyPI	email-validator	`2.3.0`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	fastapi	`0.141.1`	indirect
PyPI	fastmcp	`3.4.7`	indirect
PyPI	fastmcp-slim	`3.4.7`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	griffelib	`2.2.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httptools	`0.8.0`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	idna	`3.19`	indirect
PyPI	importlib-metadata	`9.0.0`	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	jh2	`5.0.13`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joserfc	`1.7.4`	indirect
PyPI	jsonref	`1.1.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-path	`0.5.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	keyring	`25.7.0`	indirect
PyPI	markdown	`3.10.3`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	mcp	`1.29.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.4`	indirect
PyPI	mkdocs-get-deps	`0.2.2`	indirect
PyPI	mkdocs-material	`9.7.7`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocstrings	`1.0.6`	indirect
PyPI	mkdocstrings-python	`2.0.7`	indirect
PyPI	more-itertools	`11.1.0`	indirect
PyPI	niquests	`3.21.0`	indirect
PyPI	openapi-pydantic	`0.5.1`	indirect
PyPI	opentelemetry-api	`1.44.0`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pathable	`0.6.0`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	perplexity-webui-scraper	`1.1.5`	indirect
PyPI	platformdirs	`4.11.3`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	prek	`0.4.14`	indirect
PyPI	py-key-value-aio	`0.4.5`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic-core	`2.46.4`	indirect
PyPI	pydantic-settings	`2.15.0`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pyjwt	`2.13.0`	indirect
PyPI	pymdown-extensions	`11.0.1`	indirect
PyPI	pyperclip	`1.11.0`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-dotenv	`1.2.3`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	pywin32	`312`	indirect
PyPI	pywin32-ctypes	`0.2.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	qh3	`1.9.4`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	rich-rst	`2.1.0`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	ruff	`0.16.3`	indirect
PyPI	secretstorage	`3.5.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sse-starlette	`3.4.8`	indirect
PyPI	starlette	`1.6.0`	indirect
PyPI	ty	`0.0.72`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	uncalled-for	`0.4.0`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	urllib3-future	`2.24.901`	indirect
PyPI	uvicorn	`0.52.3`	indirect
PyPI	uvloop	`0.22.1`	indirect
PyPI	wassima	`2.1.3`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	watchfiles	`1.2.0`	indirect
PyPI	websockets	`17.0.1`	indirect
PyPI	win32-setctime	`1.2.0`	indirect
PyPI	zipp	`4.1.0`	indirect
PyPI	zizmor	`1.29.0`	indirect

Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 123 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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 v0.31.0 — 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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