Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 15:45 UTC

TradeInsight-Info / TiPortfolio

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

PythonApache-2.0★ 7 stars⑂ 1 forksince Nov 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#asset-management#backtesting#data-science#fintech#portfolio-management#quantitative-finance

TradeInsight-Info/TiPortfolio holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on AI Readiness (82/100) and lowest on Community & Adoption (32/100). It was last updated 62 days ago. A single contributor accounts for most of its recent work.

62
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.

62
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)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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 58 is calibrated to 62 on the published index scale (record calibration 2026-08-02).

Ownership

TradeInsight.InfoOrganization · verified domain
8 followers25 public repossince Dec 2024

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItiportfolio1.4.1145862 days agoalgorithm-tradingbacktestingportfolio-optimization

Metrics by category

Vitality

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

70Good · 21% of overall

Development activity

56Moderate
How it's scored
18/36Push recency — last push 62 days ago
12.5/36Commit cadence — 18/52 weeks with commits
18/18Commit volume — 265 commits in the last year
7/10OpenSSF Scorecard: Maintained — 9 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 7
Inputs used
commits_last_year265
human_commit_share1
days_since_last_push62
active_weeks_last_year18

Release discipline

92Excellent
How it's scored
27/27Ships releases — 3 releases published
36/36Release recency — latest release 62 days ago
19.8/27Release cadence — a release every ~48.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count3
latest_release_tagv1.4.0
releases_from_tagsno
days_since_latest_release62
mean_days_between_releases48.9
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?

32At Risk · 17% of overall

Popularity & adoption

13Critical
How it's scored
12.6/60Stars — 7 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars7
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

36Weak
How it's scored
28.9/80Monthly downloads — 145 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagestiportfolio
dependents—
ecosystemspypi
total_downloads—
monthly_downloads145
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?

55Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

55Moderate
How it's scored
42/42Issue resolution — 100% of issues closed
6/30PR acceptance — 1/5 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs1
open_issues0
closed_issues1
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs4
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

71Good
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
6.9/25Owner reach — 8 followers of TradeInsight-Info
13.8/25Track record — 25 public repos, account ~1 yr old
Inputs used
followers8
owner_typeOrganization
is_verifiedyes
owner_loginTradeInsight-Info
public_repos25
account_age_days642

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 62 days ago
20/20Version history — 8 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestiportfolio
ecosystemspypi
any_deprecatedno
min_days_since_publish62

Engineering Quality

Are baseline engineering and documentation practices in place?

72Good · 19% of overall

Engineering practices

60Moderate
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://tiportfolio.tradeinsight.info/
10/10Repository description
10/10Topics — 6 topics
0/10Wiki
Inputs used
topicsasset-management, backtesting, data-science, fintech, portfolio-management, quantitative-finance
has_wikino
homepagehttps://tiportfolio.tradeinsight.info/
docs_sitehttps://tiportfolio.tradeinsight.info/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

51Moderate · 16% of overall

Security posture

41Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
5.2/7.5Maintained — 9 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 7
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 80 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.1
Excluded from scoring (no data or not applicable): CI-Tests, Signed-Releases. Remaining weights renormalized.

Dependency advisories

89Excellent
How it's scored
26.6/35Direct dependencies free of known advisories — 1 affected: diskcache 5.6.3 (moderate)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
37.2/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 212 days ago
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages51
unassessed_packages0
affected_by_severitymoderate 1
direct_affected_packages1
Matched the pypi:tiportfolio@1.4.1 runtime dependency closure — what installing the published package pulls in — 51 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.

82Excellent · 4% of overall

Agent context & guidance

96Exceptional
How it's scored
45/45Agent instructions — CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.anthropic.com/llms.txt)
35.7/40Legible commit history — 67 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.anthropic.com/llms.txt
legible_history_share0.67
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes1,757

Verify loop (build / test / typecheck)

66Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checking — src/tiportfolio/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configno
typecheck_configssrc/tiportfolio/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/tiportfolio/py.typed)
55/55Manageable file sizes — 0/69 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes25,759
source_files_sampled69
oversized_source_files0

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
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

7GitHub stars
1contributors
265commits, last 12 months
62days since last push
3releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-06-14: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 7 stars today.

More detail

Star and fork history 8 ★ / 1 ⇿
8Stars
1Forks
2Releases

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.

Star history is shown as collected on 2026-06-14. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

024688122025-112026-032026-06
Major 0Minor 0Patch 2
OpenSSF Scorecard 4.1 / 10
4.1aggregate

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 · 2026-09-12 15:45 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
7Maintained9 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 7
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities80 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIalpaca-py>=0.43.2pyproject.toml
PyPIdiskcache>=5.6.3pyproject.toml
PyPIjoblib>=1.5.2pyproject.toml
PyPImatplotlib>=3.10.8pyproject.toml
PyPInumpy>=2.2.6pyproject.toml
PyPIpandas>=2.3.3pyproject.toml
PyPIpandas-market-calendars>=5.1.3pyproject.toml
PyPIprogressbar>=2.5pyproject.toml
PyPItidata>=0.2.0pyproject.toml
PyPItqdm>=4.67.1pyproject.toml
PyPIyfinance>=0.2.66pyproject.toml
PyPIclick>=8.0pyproject.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.

RegistryPackageVersionRelation
PyPIalpaca-py0.43.2direct
PyPIclick8.3.1direct
PyPIdiskcache5.6.3direct
PyPIjoblib1.5.3direct
PyPImatplotlib3.10.8direct
PyPInumpy2.2.6direct
PyPInumpy2.4.2direct
PyPIpandas2.3.3direct
PyPIpandas3.0.1direct
PyPIpandas-market-calendars5.3.0direct
PyPIprogressbar2.5direct
PyPItidata0.2.0direct
PyPItqdm4.67.3direct
PyPIyfinance1.2.0direct
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIappnope0.1.4indirect
PyPIarch8.0.0indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarrow1.4.0indirect
PyPIastropy6.1.7indirect
PyPIastropy7.2.0indirect
PyPIastropy-iers-data0.2026.3.2.0.47.4indirect
PyPIasttokens3.0.1indirect
PyPIasync-lru2.2.0indirect
PyPIattrs25.4.0indirect
PyPIbabel2.18.0indirect
PyPIbackrefs6.2indirect
PyPIbeautifulsoup44.14.3indirect
PyPIbleach6.3.0indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIchoreographer1.2.1indirect
PyPIclarabel0.11.1indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.2indirect
PyPIcontourpy1.3.3indirect
PyPIcurl-cffi0.13.0indirect
PyPIcvxpy1.7.5indirect
PyPIcvxpy1.8.1indirect
PyPIcycler0.12.1indirect
PyPIdateparser1.3.0indirect
PyPIdebugpy1.8.20indirect
PyPIdecorator5.2.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdill0.4.1indirect
PyPIeditorconfig0.17.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIexchange-calendars4.13.1indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIfonttools4.61.1indirect
PyPIfqdn1.5.1indirect
PyPIfrozendict2.4.7indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.0.1indirect
PyPIh110.16.0indirect
PyPIhighspy1.13.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.11indirect
PyPIimageio2.37.2indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.2.0indirect
PyPIipython8.38.0indirect
PyPIipython9.10.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIipywidgets8.1.8indirect
PyPIisoduration20.11.0indirect
PyPIjedi0.19.2indirect
PyPIjinja23.1.6indirect
PyPIjsbeautifier1.15.4indirect
PyPIjson50.13.0indirect
PyPIjsonpointer3.0.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.8.0indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyter-events0.12.0indirect
PyPIjupyter-lsp2.3.0indirect
PyPIjupyter-server2.17.0indirect
PyPIjupyter-server-terminals0.5.4indirect
PyPIjupyterlab4.5.5indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-server2.28.0indirect
PyPIjupyterlab-widgets3.0.16indirect
PyPIkaleido1.2.0indirect
PyPIkiwisolver1.4.9indirect
PyPIkorean-lunar-calendar0.3.1indirect
PyPIlark1.3.1indirect
PyPIllvmlite0.46.0indirect
PyPIlogistro2.0.1indirect
PyPImarkdown3.10.2indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.1indirect
PyPImergedeep1.3.4indirect
PyPImistune3.2.0indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.6indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-mermaid2-plugin1.2.3indirect
PyPImkdocstrings1.0.3indirect
PyPImkdocstrings-python2.0.3indirect
PyPImsgpack1.1.2indirect
PyPImultitasking0.0.12indirect
PyPImypy-extensions1.1.0indirect
PyPInarwhals2.17.0indirect
PyPInbclient0.10.4indirect
PyPInbconvert7.17.0indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio1.6.0indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPInotebook7.5.4indirect
PyPInotebook-shim0.2.4indirect
PyPInumba0.64.0indirect
PyPIorjson3.11.8indirect
PyPIosqp1.1.1indirect
PyPIoverrides7.7.0indirect
PyPIpackaging26.0indirect
PyPIpaginate0.5.7indirect
PyPIpandas-stubs2.3.2.250926indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.6indirect
PyPIpathspec1.0.4indirect
PyPIpatsy1.0.2indirect
PyPIpeewee4.0.1indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.1.1indirect
PyPIplatformdirs4.9.2indirect
PyPIplotly6.5.2indirect
PyPIpluggy1.6.0indirect
PyPIprometheus-client0.24.1indirect
PyPIprompt-toolkit3.0.52indirect
PyPIprotobuf7.34.0indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpybind113.0.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpyerfa2.0.1.5indirect
PyPIpygments2.19.2indirect
PyPIpyluach2.3.0indirect
PyPIpymdown-extensions10.21indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.0.2indirect
PyPIpytest-timeout2.4.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-json-logger4.0.0indirect
PyPIpytz2025.2indirect
PyPIpywinpty3.0.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.2.28indirect
PyPIrequests2.32.5indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIriskfolio-lib7.0.1indirect
PyPIriskfolio-lib7.2.1indirect
PyPIrpds-py0.30.0indirect
PyPIschedule1.2.2indirect
PyPIscikit-learn1.7.2indirect
PyPIscikit-learn1.8.0indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIscs3.2.11indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools82.0.0indirect
PyPIsimplejson3.20.2indirect
PyPIsix1.17.0indirect
PyPIsoupsieve2.8.3indirect
PyPIsseclient-py1.9.0indirect
PyPIstack-data0.6.3indirect
PyPIstatsmodels0.14.6indirect
PyPIterminado0.18.1indirect
PyPIthreadpoolctl3.6.0indirect
PyPItinycss21.4.0indirect
PyPItiportfolio1.4.1indirect
PyPItomli2.4.0indirect
PyPItoolz1.1.0indirect
PyPItornado6.5.4indirect
PyPItraitlets5.14.3indirect
PyPItypes-pytz2025.2.0.20251108indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPItzlocal5.3.1indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.6.3indirect
PyPIvectorbt0.28.2indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.6.0indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIxlsxwriter3.2.9indirect
Dependency advisories 1

Installing pypi:tiportfolio@1.4.1 pulls in 51 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
diskcache5.6.3directmoderate2—

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.

The message is kept through sign-in.

Related records

Inspected repositories sharing catalogue tags or ecosystems with TradeInsight-Info/TiPortfolio. Read them side by side →

92skfolio/skfolioPython library for portfolio optimization built on top of scikit-learnExcellent91ArturSepp/QuantInvestStratsqis - performance analytics, portfolio backtesting, risk analysis, and factsheet reporting in Python.Excellent84polakowo/vectorbtThe backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.Excellent94HKUDS/Vibe-Trading"Vibe-Trading: Your Personal Trading Agent"Exceptional93OpenByteInc/QuantDingerAI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-tradingExceptional89ArturSepp/OptimalPortfoliosProduction multi-asset portfolio construction and rolling backtesting in PythonExcellent

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.