Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 05:27 UTC

subzeroid / aiograpi

⚡ Asynchronous Python library for Instagram Private API 2026

PythonMIT★ 450 stars⑂ 73 forkssince Feb 2024View on GitHub ↗

#instagram #instagram-api #instagram-api-python #instagram-client #instagrapi #instagram-bot #instagram-sdk #instagramapi #aiograpi

subzeroid/aiograpi holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (91/100) and lowest on AI Readiness (54/100). 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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

MarkPersonal account

120 followers30 public repossince Aug 2023HikerAPI

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	aiograpi	2.0.4	10,295	163	0 days ago	instagram-private-api instagram-api instagram instagram-scraper instagram-client instagram-stories instagram-feed instagram-reels instagram-insights downloader uploader videos photos albums igtv reels stories pictures instagram-user-photos instagram-photos instagram-metadata instagram-downloader instagram-uploader instagram-note asyncio async aiograpi

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

83Excellent

How it's scored

36/36	Push recency — last push 0 days ago
18.7/36	Commit cadence — 27/52 weeks with commits
18/18	Commit volume — 541 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	541
human_commit_share	0.96
days_since_last_push	0
active_weeks_last_year	27

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 100 releases published
36/36	Release recency — latest release 0 days ago
27/27	Release cadence — a release every ~3.6 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	100
latest_release_tag	2.0.4
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	3.6

Community & Adoption

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

74Good · 17% of overall

Popularity & adoption

63Moderate

How it's scored

43/60	Stars — 450 stars
15.5/25	Forks — 73 forks
4.7/15	Watchers — 8 watchers

Inputs used

forks	73
stars	450
watchers	8
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	6
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	github.com, shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

67Good

How it's scored

53.5/80	Monthly downloads — 10,295 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	aiograpi
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	10,295
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?

63Moderate · 23% of overall

Maintainer resilience (bus factor)

33At Risk

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
0.8/22.5	Commit distribution — top contributor authored 96% 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	0.965

Issue & PR responsiveness

79Good

How it's scored

42/42	Issue resolution — 100% of issues closed
23.9/30	PR acceptance — 322/405 decided PRs merged
13/13	Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 1/14 approved changesets -- score normalized to 0

Inputs used

merged_prs	322
open_issues	0
closed_issues	46
prs_merged_7d	12
prs_decided_7d	12
prs_merged_30d	17
prs_decided_30d	17
issue_closed_ratio	1
closed_unmerged_prs	83
first_time_authors_30d	1
first_time_prs_merged_30d	1
first_time_prs_decided_30d	1

Ownership & stewardship

52Moderate

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
15/25	Owner reach — 120 followers of subzeroid
17/25	Track record — 30 public repos, account ~3 yr old

Inputs used

followers	120
owner_type	User
is_verified	—
owner_login	subzeroid
public_repos	30
account_age_days	1,116

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

Inputs used

packages	aiograpi
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall

Engineering practices

92Excellent

How it's scored

24/24	CI workflows — 4 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
18/20	OpenSSF Scorecard: CI-Tests — 11 out of 12 merged PRs checked by a CI test -- score normalized to 9

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://subzeroid.github.io/aiograpi/
10/10	Repository description
10/10	Topics — 9 topics
0/10	Wiki

Inputs used

topics	instagram, instagram-api, instagram-api-python, instagram-client, instagrapi, instagram-bot, instagram-sdk, instagramapi, aiograpi
has_wiki	no
homepage	https://subzeroid.github.io/aiograpi/
docs_site	https://subzeroid.github.io/aiograpi/
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?

59Moderate · 16% of overall

Security posture

57Moderate

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
2.2/2.5	CI-Tests — 11 out of 12 merged PRs checked by a CI test -- score normalized to 9
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5	Code-Review — Found 1/14 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
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 10 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
4.5/5	SAST — SAST tool detected but not run on all commits
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
6/7.5	Vulnerabilities — 2 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	5.7

Dependency advisories

66Good

How it's scored

9.5/35	Direct dependencies free of known advisories — 1 affected: pillow 12.2.0 (critical 9.1)
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
40/40	No advisories left outstanding — no advisory has been public longer than 90 days

Inputs used

source	osv
advisories	32
affected_packages	4
assessed_packages	120
unassessed_packages	2
affected_by_severity	critical 1, moderate 3
direct_affected_packages	1

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 120 resolved dependencies against OSV. 2 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.

54Moderate · 4% of overall

Agent context & guidance

37Weak

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
36.7/40	Legible commit history — 66 of 96 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.688
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

51Moderate

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
10/10	Reproducible environment — lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
8/8	Automated maintenance — 4 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	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0.04

Code legibility for models

53Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
53.2/55	Manageable file sizes — 5/156 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	246,589
source_files_sampled	156
oversized_source_files	5

Machine-readable interfaces

100Exceptional

How it's scored

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

Inputs used

example_dirs	examples
has_mcp_signal	no
api_schema_files	—
interfaces_expected_of	—

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

Key facts

450GitHub stars

11contributors

541commits, last 12 months

0days since last push

100releases

1bus factor

0open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
pypi download statistics for 'aiograpi' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
pypi download figures for aiograpi carried forward from the previous scan (stats endpoint unavailable this scan)
deps.dev does not index pypi:aiograpi@2.0.4; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 73 ⇿

0Stars

73Forks

98Releases

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 10Patch 87

Each point covers 3 days.

OpenSSF Scorecard 5.7 / 10

5.7aggregate

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 05:26 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
9	CI-Tests	11 out of 12 merged PRs checked by a CI test -- score normalized to 9
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
0	Code-Review	Found 1/14 approved changesets -- score normalized to 0
10	Contributors	project has 4 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 10 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
9	SAST	SAST tool detected but not run on all commits
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
8	Vulnerabilities	2 existing vulnerabilities detected

Direct dependencies 9

Registry	Package	Version constraint	Manifest
PyPI	curl_cffi	`>=0.15.0`	pyproject.toml
PyPI	httpx	`>=0.28.1,<0.29`	pyproject.toml
PyPI	orjson	`>=3.11.8,<4`	pyproject.toml
PyPI	PySocks	`>=1.7.1,<2`	pyproject.toml
PyPI	pydantic	`==2.12.5`	pyproject.toml
PyPI	pydantic	`>=2.12.5,<2.14`	pyproject.toml
PyPI	pycryptodomex	`>=3.23.0,<4`	pyproject.toml
PyPI	zstandard	`>=0.25.0,<0.26`	pyproject.toml
PyPI	Pillow	`>=12.3.0,<13`	pyproject.toml

All dependencies 122

Full resolved dependency set from the GitHub dependency graph: 11 direct and 111 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	curl-cffi	`0.15.0`	direct
PyPI	httpx	`0.28.1`	direct
PyPI	orjson	`3.11.8`	direct
PyPI	pillow	`12.2.0`	direct
PyPI	pillow	`12.3.0`	direct
PyPI	pycryptodomex	`3.23.0`	direct
PyPI	pydantic	`2.12.4`	direct
PyPI	pydantic	`2.12.5`	direct
PyPI	pydantic	`2.13.4`	direct
PyPI	pysocks	`1.7.1`	direct
PyPI	zstandard	`0.25.0`	direct
PyPI	aiograpi	`1.12.14`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.13.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backrefs	`7.0`	indirect
PyPI	bandit	`1.9.1`	indirect
PyPI	bandit	`1.9.4`	indirect
PyPI	boolean-py	`5.0`	indirect
PyPI	brotli	`1.2.0`	indirect
PyPI	cachecontrol	`0.14.4`	indirect
PyPI	certifi	`2026.4.22`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	click	`8.3.3`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	csscompressor	`0.9.5`	indirect
PyPI	curl-adapter	`1.2.1`	indirect
PyPI	cyclonedx-python-lib	`11.7.0`	indirect
PyPI	decorator	`4.4.2`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	filelock	`3.29.0`	indirect
PyPI	flake8	`7.3.0`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	griffelib	`2.0.2`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	htmlmin2	`0.1.13`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.18`	indirect
PyPI	imageio	`2.37.3`	indirect
PyPI	imageio-ffmpeg	`0.6.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	isort	`7.0.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jsmin	`3.0.1`	indirect
PyPI	librt	`0.11.0`	indirect
PyPI	license-expression	`30.4.4`	indirect
PyPI	markdown	`3.10.2`	indirect
PyPI	markdown-include	`0.8.1`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mike	`2.1.3`	indirect
PyPI	mike	`2.2.0`	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	`9.7.0`	indirect
PyPI	mkdocs-material	`9.7.6`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocs-minify-plugin	`0.8.0`	indirect
PyPI	mkdocstrings	`0.30.1`	indirect
PyPI	mkdocstrings	`1.0.4`	indirect
PyPI	mkdocstrings-python	`2.0.3`	indirect
PyPI	moviepy	`1.0.3`	indirect
PyPI	msgpack	`1.2.1`	indirect
PyPI	mypy	`1.20.2`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	numpy	`2.2.6`	indirect
PyPI	numpy	`2.4.4`	indirect
PyPI	packageurl-python	`0.17.6`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	pip	`26.1.2`	indirect
PyPI	pip-api	`0.0.34`	indirect
PyPI	pip-audit	`2.10.0`	indirect
PyPI	pip-requirements-parser	`32.0.1`	indirect
PyPI	platformdirs	`4.9.6`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.6.0`	indirect
PyPI	proglog	`0.1.12`	indirect
PyPI	py-serializable	`2.1.0`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pycurl	`7.46.0`	indirect
PyPI	pydantic-core	`2.41.5`	indirect
PyPI	pydantic-core	`2.46.4`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pymdown-extensions	`11.0.1`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pytest	`—`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.3.0`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	requests	`2.34.0`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	ruff	`0.15.16`	indirect
PyPI	setuptools	`—`	indirect
PyPI	setuptools	`83.0.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	stevedore	`5.7.0`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	tomli-w	`1.2.0`	indirect
PyPI	tqdm	`4.67.3`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	verspec	`0.1.0`	indirect
PyPI	virtualenv	`21.3.1`	indirect
PyPI	watchdog	`6.0.0`	indirect

Dependency advisories 4

This repository publishes no package the index resolves, so its own dependency graph was assessed — 120 packages, which also include development and test pins that never ship: 4 carry known advisories, of which 1 are direct. 2 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

Package	Version	Relation	Severity	Advisories	Fixed in
pillow	`12.2.0`	direct	critical	26	`12.3.0`
mkdocs-material	`9.7.0`	indirect	moderate	2	`9.7.7`
mkdocs-material	`9.7.6`	indirect	moderate	2	`9.7.7`
pip	`26.1.2`	indirect	moderate	2	`26.2.0`

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

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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