Software health reportschema 0.30.0 · metrics 2.5.0 · 2026-08-03 15:35 UTC

MuuYesen / trade-learn

机器学习交易策略搭建研究的全套解决方案 / Building Trading Strategies with Machine Learning in Closed-Loop

PythonCustom license★ 90 stars⑂ 19 forkssince Apr 2024View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

MuuYesen/trade-learn holds a health index of 60 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (72/100) and lowest on AI Readiness (38/100). It was last updated 14 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 57 is calibrated to 60 on the published index scale (record calibration 2026-08-02).

Ownership

MuuYesenPersonal account

26 followers8 public repossince May 2017

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
PyPI	trade-learn	0.2.5	744	5	14 days ago

Metrics by category

Vitality

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

69Good · 21% of overall

Development activity

64Moderate

How it's scored

28.8/36	Push recency — last push 14 days ago
7.6/36	Commit cadence — 11/52 weeks with commits
18/18	Commit volume — 701 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	701
human_commit_share	1
days_since_last_push	14
active_weeks_last_year	11

Release discipline

76Good

How it's scored

27/27	Ships releases — 7 releases published
36/36	Release recency — latest release 14 days ago
12.6/27	Release cadence — a release every ~132.2 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	7
latest_release_tag	v0.2.5
releases_from_tags	no
days_since_latest_release	14
mean_days_between_releases	132.2

Community & Adoption

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

44Weak · 17% of overall

Popularity & adoption

42Weak

How it's scored

31.6/60	Stars — 90 stars
10.5/25	Forks — 19 forks
0/15	Watchers — 1 watchers

Inputs used

forks	19
stars	90
watchers	1
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

44Weak

How it's scored

22.5/22.5	README
16.9/22.5	License — license file present, not a recognized license
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	5
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

48Weak

How it's scored

38.3/80	Monthly downloads — 744 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	trade-learn
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	744

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?

54Moderate · 23% of overall

Maintainer resilience (bus factor)

10Critical

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
0/10	OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0

Inputs used

bus_factor	1
contributors_sampled	1
top_contributor_share	1

Issue & PR responsiveness

74Good

How it's scored

42/42	Issue resolution — 100% of issues closed
0/30	PR acceptance — no decided pull requests or no data
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	0
open_issues	0
closed_issues	1
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	0
prs_decided_30d	0
issue_closed_ratio	1
closed_unmerged_prs	0
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): PR acceptance, 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
10.3/25	Owner reach — 26 followers of MuuYesen
18.9/25	Track record — 8 public repos, account ~9 yr old

Inputs used

followers	26
owner_type	User
is_verified	—
owner_login	MuuYesen
public_repos	8
account_age_days	3,375

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 14 days ago
20/20	Version history — 5 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	trade-learn
ecosystems	pypi
any_deprecated	no
min_days_since_publish	14

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://muuyesen.github.io/trade-learn/
10/10	Repository description
0/10	Topics
10/10	Wiki

Inputs used

topics	—
has_wiki	yes
homepage	https://muuyesen.github.io/trade-learn/
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?

45Weak · 16% of overall

Security posture

31At Risk

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
0/2.5	Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.2/2.5	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
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 — Project has not signed or included provenance with any releases.
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5	Vulnerabilities — 120 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	3.1

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

Dependency advisories

100Exceptional

How it's scored

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

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	29
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:trade-learn@0.2.5 runtime dependency closure — what installing the published package pulls in — 29 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

38Weak · 4% of overall

Agent context & guidance

18Critical

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
17.6/40	Legible commit history — 33 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
legible_history_share	0.33
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

45Weak

How it's scored

12.6/18	One-command bootstrap — Cargo.toml, rust/tradelearn-rust/Cargo.toml (toolchain convention, no task runner)
22/22	Automated tests
0/11	Lint / format config
0/11	Static type checking
10/10	Reproducible environment — lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
0/8	Automated maintenance — no automated dependency updates observed
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	Cargo.lock, uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	no
typecheck_configs	—
agent_commit_share	0
toolchain_manifests	Cargo.toml, rust/tradelearn-rust/Cargo.toml
dependency_bot_commit_share	0

Code legibility for models

55Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
54.7/55	Manageable file sizes — 2/322 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	113,011
source_files_sampled	322
oversized_source_files	2

Machine-readable interfaces

40Weak

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto)
0/20	MCP server
40/40	Runnable examples — examples

Inputs used

example_dirs	examples
has_mcp_signal	no
api_schema_files	—

Key facts

90GitHub stars

1contributors

701commits, last 12 months

14days since last push

7releases

1bus factor

0open issues

crates.io, PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 19 ⇿

0Stars

19Forks

5Releases

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 0Minor 0Patch 3

Each point covers 2 days.

OpenSSF Scorecard 3.1 / 10

3.1aggregate

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 · 2026-08-03 15:35 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
0	Contributors	project has 0 contributing companies or organizations -- score normalized to 0
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
9	License	license file detected
10	Maintained	30 commit(s) and 1 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
0	Signed-Releases	Project has not signed or included provenance with any releases.
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
0	Vulnerabilities	120 existing vulnerabilities detected

Direct dependencies 11

Registry	Package	Version constraint	Manifest
PyPI	numpy	`>=1.26`	pyproject.toml
PyPI	pandas	`—`	pyproject.toml
PyPI	scipy	`—`	pyproject.toml
PyPI	scikit-learn	`—`	pyproject.toml
PyPI	pyarrow	`—`	pyproject.toml
PyPI	pandas-ta-classic	`—`	pyproject.toml
PyPI	xlsxwriter	`—`	pyproject.toml
PyPI	bokeh	`—`	pyproject.toml
PyPI	tqdm	`—`	pyproject.toml
PyPI	typer	`—`	pyproject.toml
PyPI	pyyaml	`—`	pyproject.toml

All dependencies 366

Full resolved dependency set from the GitHub dependency graph: 19 direct and 347 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	bokeh	`—`	direct
PyPI	bokeh	`3.9.0`	direct
PyPI	numpy	`1.26.4`	direct
PyPI	numpy	`2.2.6`	direct
PyPI	numpy	`2.4.4`	direct
PyPI	pandas	`2.2.2`	direct
PyPI	pandas	`2.3.3`	direct
PyPI	pandas-ta-classic	`0.4.47`	direct
PyPI	pyarrow	`23.0.1`	direct
PyPI	pyyaml	`6.0.3`	direct
PyPI	scikit-learn	`1.5.2`	direct
PyPI	scikit-learn	`1.7.2`	direct
PyPI	scikit-learn	`1.8.0`	direct
PyPI	scipy	`—`	direct
PyPI	scipy	`1.15.3`	direct
PyPI	scipy	`1.17.1`	direct
PyPI	tqdm	`4.67.3`	direct
PyPI	typer	`0.24.2`	direct
PyPI	xlsxwriter	`3.2.9`	direct
crates.io	autocfg	`1.5.0`	indirect
crates.io	heck	`0.5.0`	indirect
crates.io	libc	`0.2.186`	indirect
crates.io	matrixmultiply	`0.3.10`	indirect
crates.io	ndarray	`0.16.1`	indirect
crates.io	num-complex	`0.4.6`	indirect
crates.io	num-integer	`0.1.46`	indirect
crates.io	num-traits	`0.2.19`	indirect
crates.io	numpy	`—`	indirect
crates.io	numpy	`0.28.0`	indirect
crates.io	once_cell	`1.21.4`	indirect
crates.io	portable-atomic	`1.13.1`	indirect
crates.io	portable-atomic-util	`0.2.7`	indirect
crates.io	proc-macro2	`1.0.106`	indirect
crates.io	pyo3	`—`	indirect
crates.io	pyo3	`0.28.3`	indirect
crates.io	pyo3-build-config	`0.28.3`	indirect
crates.io	pyo3-ffi	`0.28.3`	indirect
crates.io	pyo3-macros	`0.28.3`	indirect
crates.io	pyo3-macros-backend	`0.28.3`	indirect
crates.io	quote	`1.0.45`	indirect
crates.io	rawpointer	`0.2.1`	indirect
crates.io	rustc-hash	`2.1.2`	indirect
crates.io	syn	`2.0.117`	indirect
crates.io	target-lexicon	`0.13.5`	indirect
crates.io	unicode-ident	`1.0.24`	indirect
PyPI	aiohappyeyeballs	`2.6.1`	indirect
PyPI	aiohttp	`3.13.5`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	alembic	`1.18.4`	indirect
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.13.0`	indirect
PyPI	anywidget	`0.10.0`	indirect
PyPI	appdirs	`1.4.4`	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	astor	`0.8.1`	indirect
PyPI	astropy	`6.1.7`	indirect
PyPI	astropy	`7.2.0`	indirect
PyPI	astropy-iers-data	`0.2026.4.27.1.3.2`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	async-lru	`2.3.0`	indirect
PyPI	async-timeout	`4.0.3`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backoff	`2.2.1`	indirect
PyPI	backrefs	`6.2`	indirect
PyPI	backtesting	`0.6.5`	indirect
PyPI	backtrader	`1.9.78.123`	indirect
PyPI	bashlex	`0.18`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	bleach	`6.3.0`	indirect
PyPI	blinker	`1.9.0`	indirect
PyPI	bracex	`2.6`	indirect
PyPI	build	`1.4.4`	indirect
PyPI	cachetools	`7.0.6`	indirect
PyPI	causal-learn	`0.1.4.5`	indirect
PyPI	certifi	`2026.4.22`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	cibuildwheel	`2.23.4`	indirect
PyPI	cibuildwheel	`3.4.1`	indirect
PyPI	clarabel	`0.11.1`	indirect
PyPI	click	`8.3.3`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	colorlog	`6.10.1`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.13.5`	indirect
PyPI	cryptography	`46.0.7`	indirect
PyPI	cvxpy	`1.7.5`	indirect
PyPI	cvxpy	`1.8.2`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	dask	`2026.3.0`	indirect
PyPI	databricks-sdk	`0.105.0`	indirect
PyPI	dataclasses-json	`0.6.7`	indirect
PyPI	dateparser	`1.4.0`	indirect
PyPI	dateutils	`0.6.12`	indirect
PyPI	debugpy	`1.8.20`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	deepmerge	`2.0`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	dependency-groups	`1.3.1`	indirect
PyPI	dill	`0.4.1`	indirect
PyPI	distributed	`2026.3.0`	indirect
PyPI	docker	`7.1.0`	indirect
PyPI	duckdb	`1.5.2`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	faiss-cpu	`1.13.2`	indirect
PyPI	fastapi	`0.136.1`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	filelock	`3.29.0`	indirect
PyPI	flask	`3.1.3`	indirect
PyPI	flask-cors	`6.0.2`	indirect
PyPI	fonttools	`4.62.1`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2026.3.0`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.1.47`	indirect
PyPI	google-auth	`2.49.2`	indirect
PyPI	graphene	`3.4.3`	indirect
PyPI	graphql-core	`3.2.8`	indirect
PyPI	graphql-relay	`3.2.0`	indirect
PyPI	graphviz	`0.21`	indirect
PyPI	greenlet	`3.4.0`	indirect
PyPI	griffelib	`2.0.2`	indirect
PyPI	gunicorn	`25.3.0`	indirect
PyPI	gw-dsl-parser	`0.1.49.1`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	highspy	`1.14.0`	indirect
PyPI	htmlmin	`—`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	huey	`2.6.0`	indirect
PyPI	humanize	`4.15.0`	indirect
PyPI	idna	`3.13`	indirect
PyPI	imageio	`2.37.3`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	interrogate	`1.7.0`	indirect
PyPI	ipykernel	`7.2.0`	indirect
PyPI	ipylab	`1.0.0`	indirect
PyPI	ipython	`—`	indirect
PyPI	ipython	`8.39.0`	indirect
PyPI	ipython	`9.13.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	itsdangerous	`2.2.0`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	json5	`0.14.0`	indirect
PyPI	jsonpatch	`1.33`	indirect
PyPI	jsonpath-ng	`1.8.0`	indirect
PyPI	jsonpointer	`3.1.1`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-ai	`2.31.7`	indirect
PyPI	jupyter-ai-magics	`2.31.7`	indirect
PyPI	jupyter-client	`8.8.0`	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	`2.17.0`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyterlab	`4.5.6`	indirect
PyPI	jupyterlab-git	`0.52.0`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	kanaries-track	`0.0.5`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	langchain	`0.3.28`	indirect
PyPI	langchain-community	`0.3.30`	indirect
PyPI	langchain-core	`0.3.76`	indirect
PyPI	langchain-text-splitters	`0.3.11`	indirect
PyPI	langsmith	`0.7.36`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	llvmlite	`0.47.0`	indirect
PyPI	locket	`1.0.0`	indirect
PyPI	mako	`1.3.11`	indirect
PyPI	markdown	`3.10.2`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	marshmallow	`3.26.2`	indirect
PyPI	matplotlib	`3.10.9`	indirect
PyPI	matplotlib-inline	`0.2.1`	indirect
PyPI	mcp	`1.27.0`	indirect
PyPI	mdurl	`0.1.2`	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	mkdocstrings	`1.0.4`	indirect
PyPI	mkdocstrings-python	`2.0.3`	indirect
PyPI	mlflow	`3.11.1`	indirect
PyPI	mlflow-skinny	`3.11.1`	indirect
PyPI	mlflow-tracing	`3.11.1`	indirect
PyPI	momentchi2	`0.1.8`	indirect
PyPI	monotonic	`1.6`	indirect
PyPI	mootdx	`—`	indirect
PyPI	msgpack	`1.1.2`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	narwhals	`2.20.0`	indirect
PyPI	nbclient	`0.10.4`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbdime	`4.0.4`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	networkx	`—`	indirect
PyPI	networkx	`3.4.2`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numba	`0.65.1`	indirect
PyPI	opentdx	`0.2.4`	indirect
PyPI	opentelemetry-api	`1.41.1`	indirect
PyPI	opentelemetry-proto	`1.41.1`	indirect
PyPI	opentelemetry-sdk	`1.41.1`	indirect
PyPI	opentelemetry-semantic-conventions	`0.62b1`	indirect
PyPI	optuna	`4.8.0`	indirect
PyPI	orjson	`3.11.8`	indirect
PyPI	osqp	`1.1.1`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pandas-datareader	`—`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.6`	indirect
PyPI	partd	`1.4.2`	indirect
PyPI	patchelf	`0.17.2.4`	indirect
PyPI	pathspec	`1.1.0`	indirect
PyPI	patsy	`1.0.2`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.2.0`	indirect
PyPI	platformdirs	`4.9.6`	indirect
PyPI	plotly	`6.7.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	prettytable	`3.17.0`	indirect
PyPI	prometheus-client	`0.25.0`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	propcache	`0.4.1`	indirect
PyPI	protobuf	`6.33.6`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	psygnal	`0.15.1`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	py	`1.11.0`	indirect
PyPI	pyasn1	`0.6.3`	indirect
PyPI	pyasn1-modules	`0.4.2`	indirect
PyPI	pybind11	`3.0.4`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`2.13.3`	indirect
PyPI	pydantic-core	`2.46.3`	indirect
PyPI	pydantic-settings	`2.14.0`	indirect
PyPI	pydot	`—`	indirect
PyPI	pydot	`4.0.1`	indirect
PyPI	pyelftools	`0.32`	indirect
PyPI	pyerfa	`2.0.1.5`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pygwalker	`0.5.0.1`	indirect
PyPI	pyjwt	`2.12.1`	indirect
PyPI	pymdown-extensions	`10.21.2`	indirect
PyPI	pynesys-pynecore	`6.4.2`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	python-json-logger	`4.1.0`	indirect
PyPI	python-multipart	`0.0.27`	indirect
PyPI	pytz	`2026.1.post1`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pywinpty	`3.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	quantstats	`0.0.70`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.4.4`	indirect
PyPI	requests	`—`	indirect
PyPI	requests	`2.33.1`	indirect
PyPI	requests-toolbelt	`1.0.0`	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	riskfolio-lib	`7.0.1`	indirect
PyPI	riskfolio-lib	`7.2.1`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	ruff	`0.15.12`	indirect
PyPI	schedule	`1.2.2`	indirect
PyPI	scs	`3.2.11`	indirect
PyPI	seaborn	`—`	indirect
PyPI	segment-analytics-python	`2.2.3`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	setuptools	`—`	indirect
PyPI	setuptools	`82.0.1`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	skops	`0.14.0`	indirect
PyPI	smmap	`5.0.3`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	soupsieve	`2.8.3`	indirect
PyPI	sqlalchemy	`2.0.49`	indirect
PyPI	sqlglot	`30.6.0`	indirect
PyPI	sqlparse	`0.5.5`	indirect
PyPI	sse-starlette	`3.3.4`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	starlette	`1.0.0`	indirect
PyPI	statsmodels	`—`	indirect
PyPI	statsmodels	`0.14.6`	indirect
PyPI	ta-lib	`0.6.8`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	tblib	`3.2.2`	indirect
PyPI	tenacity	`8.5.0`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	toolz	`1.1.0`	indirect
PyPI	tornado	`6.5.5`	indirect
PyPI	trade-learn	`0.2.4`	indirect
PyPI	tradingview-datafeed	`2.1.1`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspect	`0.9.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2026.2`	indirect
PyPI	tzlocal	`5.3.1`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.6.3`	indirect
PyPI	uuid-utils	`0.14.1`	indirect
PyPI	uvicorn	`0.46.0`	indirect
PyPI	vectorbt	`1.0.0`	indirect
PyPI	waitress	`3.0.2`	indirect
PyPI	wasmtime	`44.0.0`	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	`—`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	werkzeug	`3.1.8`	indirect
PyPI	wheel	`0.47.0`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	xxhash	`3.6.0`	indirect
PyPI	xyzservices	`2026.3.0`	indirect
PyPI	yarl	`1.23.0`	indirect
PyPI	yfinance	`—`	indirect
PyPI	zict	`3.0.0`	indirect
PyPI	zipp	`3.23.1`	indirect
PyPI	zstandard	`0.25.0`	indirect

Dependency advisories 0

Installing pypi:trade-learn@0.2.5 pulls in 29 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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 v2.5.0, schema v0.30.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.

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