Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 03:55 UTC

nikfio / forex_data

Simple API to aggregate data from the Forex market into a dataframe

PythonMIT★ 4 stars⑂ 0 forkssince Apr 2024View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

nikfio/forex_data holds a health index of 59 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (88/100) and lowest on Community & Adoption (28/100). It was last updated 60 days ago. A single contributor accounts for most of its recent work.

59
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.

59
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 56 is calibrated to 59 on the published index scale (record calibration 2026-08-02).

Ownership

Nicola FioratoPersonal account
6 followers5 public repossince Jul 2016

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIforex_data_aggregator0.2.51141660 days ago

Metrics by category

Vitality

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

74Good · 21% of overall
How it's scored
18/36Push recency — last push 60 days ago
17.3/36Commit cadence — 25/52 weeks with commits
18/18Commit volume — 132 commits in the last year
10/10OpenSSF Scorecard: Maintained — 24 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year132
human_commit_share1
days_since_last_push60
active_weeks_last_year25
How it's scored
27/27Ships releases — 11 releases published
36/36Release recency — latest release 60 days ago
27/27Release cadence — a release every ~15 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count11
latest_release_tagv0.2.5
releases_from_tagsno
days_since_latest_release60
mean_days_between_releases15

Community & Adoption

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

28At Risk · 17% of overall
How it's scored
7.7/60Stars — 4 stars
0/25Forks — 0 forks
0/15Watchers — 1 watchers
Inputs used
forks0
stars4
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

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

49Weak · 23% of overall
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
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
34.7/42Issue resolution — 83% of issues closed
0/30PR acceptance — no decided pull requests or no data
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_prs0
open_issues4
closed_issues19
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.826
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
6.1/25Owner reach — 6 followers of nikfio
17.7/25Track record — 5 public repos, account ~10 yr old
Inputs used
followers6
owner_typeUser
is_verified—
owner_loginnikfio
public_repos5
account_age_days3,700
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 60 days ago
20/20Version history — 16 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesforex_data_aggregator
ecosystemspypi
any_deprecatedno
min_days_since_publish60

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — setup.cfg ([flake8])
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_configyes
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://nikfio.github.io/forex_data/
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsarrow, forex, pandas, polars
has_wikiyes
homepagehttps://nikfio.github.io/forex_data/
docs_sitehttps://nikfio.github.io/forex_data/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

38Weak · 16% of overall
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
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 24 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 22 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.2
Excluded from scoring (no data or not applicable): CI-Tests. Remaining weights renormalized.
How it's scored
8.9/35Direct dependencies free of known advisories — 2 affected: setuptools 69.5.1 (high 8.8), pytest 8.4.2 (moderate 6.8)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
28.8/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 789 days ago
Inputs used
sourceosv
advisories8
affected_packages2
assessed_packages75
unassessed_packages0
affected_by_severityhigh 1, moderate 1
direct_affected_packages2
Matched the pypi:forex_data_aggregator@0.2.5 runtime dependency closure — what installing the published package pulls in — 75 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.

50Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
6.9/40Legible commit history — 13 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.13
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — setup.cfg ([flake8])
11/11Static type checking — libs/tick_vault/py.typed, mypy.ini
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configslibs/tick_vault/py.typed, mypy.ini
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (libs/tick_vault/py.typed, mypy.ini)
48.9/55Manageable file sizes — 4/36 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes73,258
source_files_sampled36
oversized_source_files4
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
Inputs used
example_dirsexamples
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

4GitHub stars
1contributors
132commits, last 12 months
60days since last push
11releases
1bus factor
4open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

OpenSSF Scorecard 3.2 / 10
3.2aggregate

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 03:55 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
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained24 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities22 existing vulnerabilities detected
Direct dependencies 31
RegistryPackageVersion constraintManifest
PyPIpyaml^21.10.1pyproject.toml
PyPIpandas>=2.0.0pyproject.toml
PyPImatplotlib>=3.9.2pyproject.toml
PyPIrequests^2.28.1pyproject.toml
PyPImplfinance^0.12.9b7pyproject.toml
PyPImpl-finance^0.10.1pyproject.toml
PyPIsetuptools^69.0.2pyproject.toml
PyPIscipy^1.11.4pyproject.toml
PyPIpyarrow>=14.0.2pyproject.toml
PyPIpolars>=0.20.7pyproject.toml
PyPIpytest^8.1.1pyproject.toml
PyPIloguru^0.7.2pyproject.toml
PyPInumpy>=1.22,<3.0.0pyproject.toml
PyPIdebugpy^1.8.5pyproject.toml
PyPIiteration-utilities^0.13.0pyproject.toml
PyPIbs4^0.0.2pyproject.toml
PyPIflake8^7.1.1pyproject.toml
PyPImypy^1.14.1pyproject.toml
PyPIpandas-stubs^2.2.3.241126pyproject.toml
PyPIpytest-mypy^0.10.3pyproject.toml
PyPIpytest-flake8^1.3.0pyproject.toml
PyPIconnectorx^0.4.3pyproject.toml
PyPIpyinstrument^5.1.2pyproject.toml
PyPIholidays^0.89pyproject.toml
PyPIsnakeviz^2.2.2pyproject.toml
PyPIline-profiler^5.0.2pyproject.toml
PyPItyper^0.25.1pyproject.toml
PyPIpydantic>=2.0.0pyproject.toml
PyPIpydantic-settings>=2.0.0pyproject.toml
PyPIhttpx>=0.27.0pyproject.toml
PyPItqdm>=4.66.0pyproject.toml
All dependencies 97

Full resolved dependency set from the GitHub dependency graph: 31 direct and 66 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbs40.0.2direct
PyPIconnectorx0.4.5direct
PyPIdebugpy1.8.21direct
PyPIflake87.3.0direct
PyPIholidays0.89direct
PyPIhttpx0.28.1direct
PyPIiteration-utilities0.13.0direct
PyPIline-profiler5.0.2direct
PyPIloguru0.7.3direct
PyPImatplotlib3.10.9direct
PyPImpl-finance0.10.1direct
PyPImplfinance0.12.10b0direct
PyPImypy1.20.2direct
PyPInumpy2.4.6direct
PyPIpandas3.0.3direct
PyPIpandas-stubs2.3.3.260113direct
PyPIpolars1.41.2direct
PyPIpyaml21.10.1direct
PyPIpyarrow24.0.0direct
PyPIpydantic2.13.4direct
PyPIpydantic-settings2.14.1direct
PyPIpyinstrument5.1.2direct
PyPIpytest8.4.2direct
PyPIpytest-flake81.3.0direct
PyPIpytest-mypy0.10.3direct
PyPIrequests2.34.2direct
PyPIscipy1.17.1direct
PyPIsetuptools69.5.1direct
PyPIsnakeviz2.2.2direct
PyPItqdm4.68.1direct
PyPItyper0.25.1direct
PyPIalabaster1.0.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIattrs26.1.0indirect
PyPIautopep82.3.2indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIcertifi2026.5.20indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.3indirect
PyPIcycler0.12.1indirect
PyPIdocutils0.22.4indirect
PyPIfilelock3.29.1indirect
PyPIfonttools4.63.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIkiwisolver1.5.0indirect
PyPIlibrt0.11.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.2.0indirect
PyPIpluggy1.6.0indirect
PyPIpolars-runtime-321.41.2indirect
PyPIpycodestyle2.14.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpyyaml6.0.3indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autodoc-typehints3.10.5indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItornado6.5.6indirect
PyPItypes-pytz2026.2.0.20260518indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIurllib32.7.0indirect
PyPIwin32-setctime1.2.0indirect
Dependency advisories 2

Installing pypi:forex_data_aggregator@0.2.5 pulls in 75 packages, direct and transitive: 2 carry known advisories, of which 2 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
setuptools69.5.1directhigh683.0.0
pytest8.4.2directmoderate29.0.3

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.

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.