Software health reportschema 0.18.0 · metrics 2.10.0 · 2026-07-21 13:39 UTC

TradeInsight-Info / TiPortfolio

Yet another portfolio management / asset allocation optimisation python library for quants, intitutes and retrail traders.

PythonApache-2.0★ 8 stars⑂ 1 forksince Nov 2025View on GitHub ↗

KindLibraryCommand-line toolhow this is determined

#asset-management #backtesting #data-science #fintech #portfolio-management #quantitative-finance

TradeInsight-Info/TiPortfolio holds a health index of 63 out of 100, placing it in the Moderate band. It scores highest on Vitality (79/100) and lowest on Community & Adoption (31/100). It was last updated 9 days ago. 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 59 is calibrated to 63 on the published index scale (record calibration 2026-08-02).

Ownership

TradeInsight.InfoOrganization

8 followers24 public repossince Dec 2024

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	tiportfolio	1.4.1	-	8	9 days ago	algorithm-trading backtesting portfolio-optimization

Metrics by category

Vitality

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

79Good · 21% of overall

Development activity

70Good

How it's scored

28.8/36	Push recency — last push 9 days ago
13.2/36	Commit cadence — 19/52 weeks with commits
18/18	Commit volume — 265 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	265
human_commit_share	—
days_since_last_push	9
active_weeks_last_year	19

Release discipline

92Excellent

How it's scored

27/27	Ships releases — 3 releases published
36/36	Release recency — latest release 9 days ago
19.8/27	Release cadence — a release every ~48.9 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	3
latest_release_tag	v1.4.0
releases_from_tags	no
days_since_latest_release	9
mean_days_between_releases	48.9

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?

31At Risk · 17% of overall

Popularity & adoption

14Critical

How it's scored

13.7/60	Stars — 8 stars
0/25	Forks — 1 forks
0/15	Watchers — 0 watchers

Inputs used

forks	1
stars	8
watchers	0
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	below_threshold

Community health

50Moderate

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (Apache-2.0)
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

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

53Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
0/22.5	Commit distribution — top contributor authored 100% of commits
1.4/13.5	Contributor breadth — 1 contributors
3/10	OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3

Inputs used

bus_factor	1
contributors_sampled	1
top_contributor_share	1

Issue & PR responsiveness

55Moderate

How it's scored

42/42	Issue resolution — 100% of issues closed
6/30	PR acceptance — 1/5 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	1
open_issues	0
closed_issues	1
prs_merged_7d	—
prs_decided_7d	—
prs_merged_30d	—
prs_decided_30d	—
issue_closed_ratio	1
closed_unmerged_prs	4
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

63Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain — verified-domain status not read for this organization
6.9/25	Owner reach — 8 followers of TradeInsight-Info
13.4/25	Track record — 24 public repos, account ~1 yr old

Inputs used

followers	8
owner_type	Organization
is_verified	—
owner_login	TradeInsight-Info
public_repos	24
account_age_days	589

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 9 days ago
20/20	Version history — 8 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	tiportfolio
ecosystems	pypi
any_deprecated	no
min_days_since_publish	9

Engineering Quality

Are baseline engineering and documentation practices in place?

72Good · 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

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://tiportfolio.tradeinsight.info/
10/10	Repository description
10/10	Topics — 6 topics
0/10	Wiki

Inputs used

topics	asset-management, backtesting, data-science, fintech, portfolio-management, quantitative-finance
has_wiki	no
homepage	https://tiportfolio.tradeinsight.info/
docs_site	https://tiportfolio.tradeinsight.info/
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?

48Weak · 16% of overall

Security posture

43Weak

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
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
0.8/2.5	Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 — 12 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 — 70 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	4.3

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

Dependency advisories

68Good

How it's scored

13.8/35	Direct dependencies free of known advisories — 2 affected: click 8.3.1 (high 7.2), diskcache 5.6.3 (moderate)
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
37.2/40	No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 159 days ago

Inputs used

source	osv
advisories	131
affected_packages	20
assessed_packages	209
unassessed_packages	0
affected_by_severity	critical 3, high 8, moderate 8, low 1
direct_affected_packages	2

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 209 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

75Good

How it's scored

45/45	Agent instructions — CLAUDE.md
0/15	Machine-readable docs (llms.txt)
0/40	Legible commit history — no data

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	—
agent_instruction_files	CLAUDE.md
agent_instruction_max_bytes	1,757

Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

73Good

How it's scored

18/18	One-command bootstrap — Makefile
22/22	Automated tests
0/11	Lint / format config
11/11	Static type checking — src/tiportfolio/py.typed
10/10	Reproducible environment — lockfile
0/10	Demonstrated agent practice — no data
5/8	Automated maintenance — dependency automation configured, none observed in the sampled commits
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	Makefile
has_devcontainer	no
has_linter_config	no
typecheck_configs	src/tiportfolio/py.typed
agent_commit_share	—
toolchain_manifests	—
dependency_bot_commit_share	0

Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (src/tiportfolio/py.typed)
55/55	Manageable file sizes — 0/69 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	25,759
source_files_sampled	69
oversized_source_files	0

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, notebooks

Inputs used

example_dirs	examples, 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

8GitHub stars

1contributors

265commits, last 12 months

9days since last push

3releases

1bus factor

0open issues

PyPIpackage ecosystems

Data collection warnings

deps.dev does not index pypi:tiportfolio@1.4.1; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 8 ★ / 1 ⇿

8Stars

1Forks

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.

OpenSSF Scorecard 4.3 / 10

4.3aggregate

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 · 2026-07-21 13:38 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/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
3	Contributors	project has 1 contributing companies or organizations -- score normalized to 3
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	12 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	70 existing vulnerabilities detected

Direct dependencies 12

Registry	Package	Version constraint	Manifest
PyPI	alpaca-py	`>=0.43.2`	pyproject.toml
PyPI	diskcache	`>=5.6.3`	pyproject.toml
PyPI	joblib	`>=1.5.2`	pyproject.toml
PyPI	matplotlib	`>=3.10.8`	pyproject.toml
PyPI	numpy	`>=2.2.6`	pyproject.toml
PyPI	pandas	`>=2.3.3`	pyproject.toml
PyPI	pandas-market-calendars	`>=5.1.3`	pyproject.toml
PyPI	progressbar	`>=2.5`	pyproject.toml
PyPI	tidata	`>=0.2.0`	pyproject.toml
PyPI	tqdm	`>=4.67.1`	pyproject.toml
PyPI	yfinance	`>=0.2.66`	pyproject.toml
PyPI	click	`>=8.0`	pyproject.toml

All dependencies 209

Full resolved dependency set from the GitHub dependency graph: 14 direct and 195 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	alpaca-py	`0.43.2`	direct
PyPI	click	`8.3.1`	direct
PyPI	diskcache	`5.6.3`	direct
PyPI	joblib	`1.5.3`	direct
PyPI	matplotlib	`3.10.8`	direct
PyPI	numpy	`2.2.6`	direct
PyPI	numpy	`2.4.2`	direct
PyPI	pandas	`2.3.3`	direct
PyPI	pandas	`3.0.1`	direct
PyPI	pandas-market-calendars	`5.3.0`	direct
PyPI	progressbar	`2.5`	direct
PyPI	tidata	`0.2.0`	direct
PyPI	tqdm	`4.67.3`	direct
PyPI	yfinance	`1.2.0`	direct
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.12.1`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	arch	`8.0.0`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`25.1.0`	indirect
PyPI	arrow	`1.4.0`	indirect
PyPI	astropy	`6.1.7`	indirect
PyPI	astropy	`7.2.0`	indirect
PyPI	astropy-iers-data	`0.2026.3.2.0.47.4`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	async-lru	`2.2.0`	indirect
PyPI	attrs	`25.4.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backrefs	`6.2`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	bleach	`6.3.0`	indirect
PyPI	certifi	`2026.2.25`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	choreographer	`1.2.1`	indirect
PyPI	clarabel	`0.11.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	curl-cffi	`0.13.0`	indirect
PyPI	cvxpy	`1.7.5`	indirect
PyPI	cvxpy	`1.8.1`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	dateparser	`1.3.0`	indirect
PyPI	debugpy	`1.8.20`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	dill	`0.4.1`	indirect
PyPI	editorconfig	`0.17.1`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	exchange-calendars	`4.13.1`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	fonttools	`4.61.1`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	frozendict	`2.4.7`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	griffelib	`2.0.1`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	highspy	`1.13.1`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	idna	`3.11`	indirect
PyPI	imageio	`2.37.2`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`7.2.0`	indirect
PyPI	ipython	`8.38.0`	indirect
PyPI	ipython	`9.10.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jsbeautifier	`1.15.4`	indirect
PyPI	json5	`0.13.0`	indirect
PyPI	jsonpointer	`3.0.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-client	`8.8.0`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyter-events	`0.12.0`	indirect
PyPI	jupyter-lsp	`2.3.0`	indirect
PyPI	jupyter-server	`2.17.0`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyterlab	`4.5.5`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	kaleido	`1.2.0`	indirect
PyPI	kiwisolver	`1.4.9`	indirect
PyPI	korean-lunar-calendar	`0.3.1`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	llvmlite	`0.46.0`	indirect
PyPI	logistro	`2.0.1`	indirect
PyPI	markdown	`3.10.2`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib-inline	`0.2.1`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mistune	`3.2.0`	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	`9.7.6`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocs-mermaid2-plugin	`1.2.3`	indirect
PyPI	mkdocstrings	`1.0.3`	indirect
PyPI	mkdocstrings-python	`2.0.3`	indirect
PyPI	msgpack	`1.1.2`	indirect
PyPI	multitasking	`0.0.12`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	narwhals	`2.17.0`	indirect
PyPI	nbclient	`0.10.4`	indirect
PyPI	nbconvert	`7.17.0`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	networkx	`3.4.2`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	notebook	`7.5.4`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numba	`0.64.0`	indirect
PyPI	orjson	`3.11.8`	indirect
PyPI	osqp	`1.1.1`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`26.0`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pandas-stubs	`2.3.2.250926`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.6`	indirect
PyPI	pathspec	`1.0.4`	indirect
PyPI	patsy	`1.0.2`	indirect
PyPI	peewee	`4.0.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.1.1`	indirect
PyPI	platformdirs	`4.9.2`	indirect
PyPI	plotly	`6.5.2`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	prometheus-client	`0.24.1`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	protobuf	`7.34.0`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pybind11	`3.0.2`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`2.12.5`	indirect
PyPI	pydantic-core	`2.41.5`	indirect
PyPI	pyerfa	`2.0.1.5`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pyluach	`2.3.0`	indirect
PyPI	pymdown-extensions	`10.21`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pytest	`9.0.2`	indirect
PyPI	pytest-timeout	`2.4.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	python-json-logger	`4.0.0`	indirect
PyPI	pytz	`2025.2`	indirect
PyPI	pywinpty	`3.0.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.2.28`	indirect
PyPI	requests	`2.32.5`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfc3987-syntax	`1.1.0`	indirect
PyPI	riskfolio-lib	`7.0.1`	indirect
PyPI	riskfolio-lib	`7.2.1`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	schedule	`1.2.2`	indirect
PyPI	scikit-learn	`1.7.2`	indirect
PyPI	scikit-learn	`1.8.0`	indirect
PyPI	scipy	`1.15.3`	indirect
PyPI	scipy	`1.17.1`	indirect
PyPI	scs	`3.2.11`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	setuptools	`82.0.0`	indirect
PyPI	simplejson	`3.20.2`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	soupsieve	`2.8.3`	indirect
PyPI	sseclient-py	`1.9.0`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	statsmodels	`0.14.6`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	tiportfolio	`1.4.1`	indirect
PyPI	tomli	`2.4.0`	indirect
PyPI	toolz	`1.1.0`	indirect
PyPI	tornado	`6.5.4`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	types-pytz	`2025.2.0.20251108`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2025.3`	indirect
PyPI	tzlocal	`5.3.1`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.6.3`	indirect
PyPI	vectorbt	`0.28.2`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wcwidth	`0.6.0`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	websockets	`16.0`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	xlsxwriter	`3.2.9`	indirect

Dependency advisories 20

This repository publishes no package the index resolves, so its own dependency graph was assessed — 209 packages, which also include development and test pins that never ship: 20 carry known advisories, of which 2 are direct.

Package	Version	Relation	Severity	Advisories	Fixed in
jupyterlab	`4.5.5`	indirect	critical	7	`7.5.6`
notebook	`7.5.4`	indirect	critical	4	`7.5.6`
pillow	`12.1.1`	indirect	critical	31	`12.3.0`
click	`8.3.1`	direct	high	1	`8.3.3`
curl-cffi	`0.13.0`	indirect	high	2	`0.15.0`
jupyter-server	`2.17.0`	indirect	high	13	`2.20.0`
mistune	`3.2.0`	indirect	high	32	`3.3.0`
msgpack	`1.1.2`	indirect	high	1	`1.2.1`
soupsieve	`2.8.3`	indirect	high	4	`2.8.4`
tornado	`6.5.4`	indirect	high	12	`6.5.7`
urllib3	`2.6.3`	indirect	high	4	`2.7.0`
diskcache	`5.6.3`	direct	moderate	2	—
bleach	`6.3.0`	indirect	moderate	3	`6.4.0`
idna	`3.11`	indirect	moderate	2	`3.15`
nbconvert	`7.17.0`	indirect	moderate	4	`7.17.1`
pymdown-extensions	`10.21`	indirect	moderate	2	`10.21.3`
pytest	`9.0.2`	indirect	moderate	2	`9.0.3`
requests	`2.32.5`	indirect	moderate	2	`2.33.0`
setuptools	`82.0.0`	indirect	moderate	1	`83.0.0`
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.

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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 v0.18.0 — full methodology · metrics wiki.

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