Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-02 21:25 UTC

Metaculus / forecasting-tools

A framework for building a AI Forecasting Bot for Metaculus. Additionally AI Forecasting tools to help humans forecast the future.

Python · Jupyter NotebookMIT★ 83 stars⑂ 41 forkssince Dec 2024View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

#ai #forecasting #future #metaculus #prediction #reasoning-agent #research-tool

Metaculus/forecasting-tools holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Engineering Quality (96/100) and lowest on Security (44/100). It was last updated today. A single contributor accounts for most of its recent work.

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.

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 64 is calibrated to 73 on the published index scale (record calibration 2026-08-02).

Ownership

MetaculusOrganization

58 followers18 public repossince Aug 2020

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	forecasting-tools	0.3.3	45,717	98	0 days ago	ai forecasting research metaculus prediction future market

Metrics by category

Vitality

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

59Moderate · 21% of overall

Development activity

97Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
33.2/36	Commit cadence — 48/52 weeks with commits
18/18	Commit volume — 152 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	152
human_commit_share	0.97
days_since_last_push	0
active_weeks_last_year	48

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?

56Moderate · 17% of overall

Popularity & adoption

48Weak

How it's scored

31/60	Stars — 83 stars
13.4/25	Forks — 41 forks
3.9/15	Watchers — 6 watchers

Inputs used

forks	41
stars	83
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 (MIT)
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	4
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	badge.fury.io, shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

78Good

How it's scored

62.1/80	Monthly downloads — 45,717 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	forecasting-tools
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	45,717
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)

36Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
7/22.5	Commit distribution — top contributor authored 69% of commits
13.5/13.5	Contributor breadth — 11 contributors
6/10	OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6

Inputs used

bus_factor	1
contributors_sampled	11
top_contributor_share	0.688

Issue & PR responsiveness

52Moderate

How it's scored

20.3/42	Issue resolution — 48% of issues closed
24.6/30	PR acceptance — 252/307 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	252
open_issues	15
closed_issues	14
prs_merged_7d	6
prs_decided_7d	6
prs_merged_30d	21
prs_decided_30d	22
issue_closed_ratio	0.483
closed_unmerged_prs	55
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

64Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
12.7/25	Owner reach — 58 followers of Metaculus
21.3/25	Track record — 18 public repos, account ~6 yr old

Inputs used

followers	58
owner_type	Organization
is_verified	no
owner_login	Metaculus
public_repos	18
account_age_days	2,243

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

Inputs used

packages	forecasting-tools
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 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 — 30 out of 30 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

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://forecasting-tools.streamlit.app/
10/10	Repository description
10/10	Topics — 7 topics
10/10	Wiki

Inputs used

topics	ai, forecasting, future, metaculus, prediction, reasoning-agent, research-tool
has_wiki	yes
homepage	https://forecasting-tools.streamlit.app/
docs_site	https://forecasting-tools.streamlit.app/
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?

44Weak · 16% of overall

Security posture

45Weak

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
2.5/2.5	CI-Tests — 30 out of 30 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 0/30 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 1 issue activity found in the last 90 days -- score normalized to 10
0/5	Packaging — no data
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
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 — 56 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	4.5

Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

41Weak

How it's scored

5.6/35	Direct dependencies free of known advisories — 3 affected: litellm 1.83.7 (critical 9.8), aiohttp 3.13.5 (high 7.5), python-dotenv 1.0.1 (moderate 6.6)
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 165 days ago

Inputs used

source	osv
advisories	109
affected_packages	11
assessed_packages	239
unassessed_packages	0
affected_by_severity	critical 3, high 7, moderate 1
direct_affected_packages	3

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 239 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.

78Good · 4% of overall

Agent context & guidance

100Exceptional

How it's scored

45/45	Agent instructions — .cursor/rules/code-tests.mdc, .cursor/rules/general-guidelines.mdc
15/15	Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.docker.com/llms.txt)
40/40	Legible commit history — 93 of 97 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://docs.docker.com/llms.txt
legible_history_share	0.959
agent_instruction_files	.cursor/rules/code-tests.mdc, .cursor/rules/general-guidelines.mdc
agent_instruction_max_bytes	634

Verify loop (build / test / typecheck)

61Moderate

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config
0/11	Static type checking
10/10	Reproducible environment — devcontainer, Dockerfile, lockfile
10/10	Demonstrated agent practice — 15 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 3 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	poetry.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	—
has_devcontainer	yes
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.15
toolchain_manifests	—
dependency_bot_commit_share	0.03

Code legibility for models

55Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
54.6/55	Manageable file sizes — 2/310 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	104,241
source_files_sampled	310
oversized_source_files	2

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 — notebooks

Inputs used

example_dirs	notebooks
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

83GitHub stars

11contributors

152commits, last 12 months

0days since last push

0releases

1bus factor

15open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
deps.dev does not index pypi:forecasting-tools@0.3.3; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 41 ⇿

0Stars

41Forks

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 2 days.

OpenSSF Scorecard 4.5 / 10

4.5aggregate

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 · 2026-10-02 21:24 UTC

10	Binary-Artifacts	no binaries found in the repo
3	Branch-Protection	branch protection is not maximal on development and all release branches
10	CI-Tests	30 out of 30 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 0/30 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 1 issue activity found in the last 90 days -- score normalized to 10
n/a	Packaging	packaging workflow not 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
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	56 existing vulnerabilities detected

Direct dependencies 33

Registry	Package	Version constraint	Manifest
PyPI	openai	`>=1.51.0,<4.0.0`	pyproject.toml
PyPI	tiktoken	`>=0.8.0,<0.20.0`	pyproject.toml
PyPI	aiofiles	`>=24.1.0,<26.0.0`	pyproject.toml
PyPI	aiohttp	`^3.9.3`	pyproject.toml
PyPI	aiolimiter	`^1.1.0`	pyproject.toml
PyPI	asyncio	`>=3.0.0,<5.0.0`	pyproject.toml
PyPI	nest-asyncio	`^1.5.8`	pyproject.toml
PyPI	requests	`^2.32.3`	pyproject.toml
PyPI	pydantic	`^2.9.2`	pyproject.toml
PyPI	python-dotenv	`^1.0.0`	pyproject.toml
PyPI	tenacity	`>=8.0.0,<10.0.0`	pyproject.toml
PyPI	pillow	`>=9.0.0,<13.0.0`	pyproject.toml
PyPI	typeguard	`^4.3.0`	pyproject.toml
PyPI	scikit-learn	`^1.5.2`	pyproject.toml
PyPI	scipy	`>=1.10.0,<2.0.0`	pyproject.toml
PyPI	litellm	`>=1.59.1,<2.0.0,!=1.76.,!=1.77.,!=1.82.7,!=1.82.8`	pyproject.toml
PyPI	numpy	`>=1.26.0,<3.0.0`	pyproject.toml
PyPI	exceptiongroup	`^1.2.2`	pyproject.toml
PyPI	faker	`>=37.0.0,<41.0.0`	pyproject.toml
PyPI	plotly	`>=5.24.1,<8.0.0`	pyproject.toml
PyPI	pandas	`>=2.2.3,<4.0.0`	pyproject.toml
PyPI	streamlit	`^1.20.0`	pyproject.toml
PyPI	asknews	`>=0.9.1,<0.15.0`	pyproject.toml
PyPI	unidecode	`^1.4.0`	pyproject.toml
PyPI	hyperbrowser	`>=0.53.0,<2.0.0`	pyproject.toml
PyPI	pendulum	`^3.1.0`	pyproject.toml
PyPI	openai-agents	`>=0.2.0,<0.23.0`	pyproject.toml
PyPI	boto3	`>=1.34,<2.0.0`	pyproject.toml
PyPI	playwright	`>=1.44,<2.0.0`	pyproject.toml
PyPI	firecrawl-py	`>=4.0,<5.0.0`	pyproject.toml
PyPI	trafilatura	`>=1.9,<3.0.0`	pyproject.toml
PyPI	pymupdf4llm	`>=0.0.17,<1.0.0`	pyproject.toml
PyPI	cloakbrowser	`>=0.3.31,<0.4.0`	pyproject.toml

All dependencies 239

Full resolved dependency set from the GitHub dependency graph: 33 direct and 206 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	aiohttp	`3.13.5`	direct
PyPI	aiolimiter	`1.3.0`	direct
PyPI	asknews	`0.14.3`	direct
PyPI	asyncio	`4.0.0`	direct
PyPI	boto3	`1.43.89`	direct
PyPI	cloakbrowser	`0.3.32`	direct
PyPI	exceptiongroup	`1.3.1`	direct
PyPI	faker	`40.38.0`	direct
PyPI	firecrawl-py	`4.41.0`	direct
PyPI	hyperbrowser	`1.4.2`	direct
PyPI	litellm	`1.83.7`	direct
PyPI	nest-asyncio	`1.6.0`	direct
PyPI	numpy	`2.4.6`	direct
PyPI	openai	`2.30.0`	direct
PyPI	openai-agents	`0.17.3`	direct
PyPI	pandas	`3.0.5`	direct
PyPI	pendulum	`3.2.0`	direct
PyPI	pillow	`12.3.0`	direct
PyPI	playwright	`1.62.0`	direct
PyPI	plotly	`7.0.0`	direct
PyPI	pydantic	`2.12.5`	direct
PyPI	pymupdf4llm	`0.3.4`	direct
PyPI	python-dotenv	`1.0.1`	direct
PyPI	requests	`2.34.2`	direct
PyPI	scikit-learn	`1.9.0`	direct
PyPI	scipy	`1.17.1`	direct
PyPI	streamlit	`1.63.0`	direct
PyPI	tenacity	`9.1.4`	direct
PyPI	tiktoken	`0.12.0`	direct
PyPI	trafilatura	`2.2.0`	direct
PyPI	typeguard	`4.6.0`	direct
PyPI	unidecode	`1.4.0`	direct
PyPI	aiohappyeyeballs	`2.7.1`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	altair	`6.2.2`	indirect
PyPI	annotated-doc	`0.0.5`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	anyio	`4.15.1`	indirect
PyPI	appnope	`1.0.0`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`26.1.0`	indirect
PyPI	arrow	`1.4.0`	indirect
PyPI	asgiref	`3.12.1`	indirect
PyPI	asttokens	`3.0.2`	indirect
PyPI	async-lru	`2.3.0`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beautifulsoup4	`4.15.0`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	botocore	`1.43.89`	indirect
PyPI	cachetools	`7.1.8`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.5.1`	indirect
PyPI	click	`8.1.8`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	courlan	`1.4.0`	indirect
PyPI	crontab	`1.0.5`	indirect
PyPI	cryptography	`46.0.6`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	dateparser	`1.4.3`	indirect
PyPI	debugpy	`1.8.21`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	distro	`1.9.0`	indirect
PyPI	dnspython	`2.8.0`	indirect
PyPI	email-validator	`2.3.0`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.22.2`	indirect
PyPI	fastuuid	`0.14.0`	indirect
PyPI	filelock	`3.32.5`	indirect
PyPI	fonttools	`4.64.0`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2026.7.0`	indirect
PyPI	greenlet	`3.5.5`	indirect
PyPI	griffelib	`2.3.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hf-xet	`1.6.0`	indirect
PyPI	htmldate	`1.10.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpcore2	`2.12.0`	indirect
PyPI	httptools	`0.8.0`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	httpx2	`2.12.0`	indirect
PyPI	httpx2-jsfetch	`1.0`	indirect
PyPI	huggingface-hub	`1.16.1`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.19`	indirect
PyPI	importlib-metadata	`8.5.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`7.3.0`	indirect
PyPI	ipython	`9.17.1`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	itsdangerous	`2.2.0`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jiter	`0.16.0`	indirect
PyPI	jmespath	`1.1.0`	indirect
PyPI	joblib	`1.6.0`	indirect
PyPI	json5	`0.15.0`	indirect
PyPI	jsonpointer	`3.1.1`	indirect
PyPI	jsonref	`1.1.0`	indirect
PyPI	jsonschema	`4.23.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-builder	`1.2.3`	indirect
PyPI	jupyter-client	`8.10.0`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyter-events	`0.12.1`	indirect
PyPI	jupyter-lsp	`2.3.1`	indirect
PyPI	jupyter-server	`2.21.0`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyterlab	`4.6.3`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	justext	`3.0.2`	indirect
PyPI	kiwisolver	`1.5.1`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	lxml	`6.1.3`	indirect
PyPI	lxml-html-clean	`0.4.5`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.11.1`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mcp	`1.30.0`	indirect
PyPI	mcp-types	`2.2.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistune	`3.3.4`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	narwhals	`2.25.0`	indirect
PyPI	nbclient	`0.11.0`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.11.1`	indirect
PyPI	nest-asyncio2	`1.7.2`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	notebook	`7.6.2`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	opentelemetry-api	`1.44.0`	indirect
PyPI	orjson	`3.12.0`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	platformdirs	`4.11.7`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.6.2`	indirect
PyPI	prettytable	`3.18.0`	indirect
PyPI	prometheus-client	`0.26.0`	indirect
PyPI	prompt-toolkit	`3.0.53`	indirect
PyPI	propcache	`0.5.2`	indirect
PyPI	protobuf	`7.36.1`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pyarrow	`25.0.1`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic-core	`2.41.5`	indirect
PyPI	pydantic-settings	`2.15.0`	indirect
PyPI	pydeck	`0.9.3`	indirect
PyPI	pyee	`13.0.1`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pyjwt	`2.13.0`	indirect
PyPI	pymupdf	`1.28.2`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pypistats	`1.14.0`	indirect
PyPI	pyproject-api	`1.11.0`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-asyncio	`1.4.0`	indirect
PyPI	pytest-mock	`3.15.1`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.6.0`	indirect
PyPI	python-json-logger	`4.2.0`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	python-slugify	`8.0.4`	indirect
PyPI	pytz	`2026.3.post1`	indirect
PyPI	pywin32	`312`	indirect
PyPI	pywinpty	`3.0.5`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.2.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.9.3`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfc3987-syntax	`1.1.0`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	s3transfer	`0.19.2`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	soupsieve	`2.9.2`	indirect
PyPI	sse-starlette	`3.4.11`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	starlette	`1.6.0`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	termcolor	`3.3.0`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	text-unidecode	`1.3`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	time-machine	`3.5.0`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	tld	`0.13.2`	indirect
PyPI	tokenizers	`0.22.2`	indirect
PyPI	toml	`0.10.2`	indirect
PyPI	tomli-w	`1.2.0`	indirect
PyPI	tornado	`6.5.8`	indirect
PyPI	tox	`4.61.2`	indirect
PyPI	tqdm	`4.70.0`	indirect
PyPI	traitlets	`5.16.1`	indirect
PyPI	truststore	`0.10.4`	indirect
PyPI	typer	`0.27.2`	indirect
PyPI	types-requests	`2.33.0.20260906`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	tzdata	`2026.3`	indirect
PyPI	tzlocal	`5.4.4`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uvicorn	`0.52.4`	indirect
PyPI	virtualenv	`21.7.8`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wcwidth	`0.8.3`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.6.1`	indirect
PyPI	websocket-client	`1.9.2`	indirect
PyPI	websockets	`15.0.1`	indirect
PyPI	yarl	`1.24.5`	indirect
PyPI	zipp	`4.1.0`	indirect

Dependency advisories 11

This repository publishes no package the index resolves, so its own dependency graph was assessed — 239 packages, which also include development and test pins that never ship: 11 carry known advisories, of which 3 are direct.

Package	Version	Relation	Severity	Advisories	Fixed in
litellm	`1.83.7`	direct	critical	18	`1.96.2`
cryptography	`46.0.6`	indirect	critical	9	`50.0.0`
pyjwt	`2.13.0`	indirect	critical	26	`2.15.0`
aiohttp	`3.13.5`	direct	high	28	`3.14.3`
click	`8.1.8`	indirect	high	1	`8.3.3`
jupyterlab	`4.6.3`	indirect	high	6	`7.6.3`
notebook	`7.6.2`	indirect	high	2	`7.6.3`
tornado	`6.5.8`	indirect	high	3	`6.5.9`
urllib3	`2.7.0`	indirect	high	6	`2.8.0`
virtualenv	`21.7.8`	indirect	high	8	`21.7.13`
python-dotenv	`1.0.1`	direct	moderate	2	`1.2.2`

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.

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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.

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