Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 01:49 UTC

eccenca / cmem-plugin-currencies

Convert prices between currencies.

PythonApache-2.0★ 0 stars⑂ 1 forksince Jul 2024View on GitHub ↗
KindPluginLibraryhow this is determined
#corporate-memory#currency-converter#currency-exchange-rates#eccenca#plugin

eccenca/cmem-plugin-currencies holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (76/100) and lowest on Community & Adoption (36/100). It was last updated 12 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

eccenca GmbHOrganization · verified domain
25 followers107 public repossince Mar 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIcmem-plugin-currencies0.11.0148645 days agoeccenca-corporate-memoryplugin

Metrics by category

Vitality

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

56Moderate · 21% of overall

Development activity

45Weak
How it's scored
28.8/36Push recency — last push 12 days ago
3.5/36Commit cadence — 5/52 weeks with commits
8.6/18Commit volume — 8 commits in the last year
4/10OpenSSF Scorecard: Maintained — 5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
Inputs used
commits_last_year8
human_commit_share1
days_since_last_push12
active_weeks_last_year5

Release discipline

72Good
How it's scored
16.2/27Ships releases — 6 version tags (no GitHub releases)
36/36Release recency — latest release 45 days ago
12.6/27Release cadence — a release every ~148.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count6
latest_release_tagv0.11.0
releases_from_tagsyes
days_since_latest_release45
mean_days_between_releases148.4
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?

36Weak · 17% of overall

Popularity & adoption

5Critical
How it's scored
0/60Stars — 0 stars
0/25Forks — 1 forks
4.7/15Watchers — 8 watchers
Inputs used
forks1
stars0
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

36Weak
How it's scored
29/80Monthly downloads — 148 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagescmem-plugin-currencies
dependents—
ecosystemspypi
total_downloads—
monthly_downloads148
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?

66Good · 23% of overall

Maintainer resilience (bus factor)

30At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6/22.5Commit distribution — top contributor authored 73% of commits
5.4/13.5Contributor breadth — 4 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.732

Issue & PR responsiveness

61Moderate
How it's scored
0/42Issue resolution — no issues or no data
22.5/30PR acceptance — 3/4 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/26 approved changesets -- score normalized to 0
Inputs used
merged_prs3
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio—
closed_unmerged_prs1
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.

Ownership & stewardship

85Excellent
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
10.2/25Owner reach — 25 followers of eccenca
25/25Track record — 107 public repos, account ~13 yr old
Inputs used
followers25
owner_typeOrganization
is_verifiedyes
owner_logineccenca
public_repos107
account_age_days4,923

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 45 days ago
20/20Version history — 6 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescmem-plugin-currencies
ecosystemspypi
any_deprecatedno
min_days_since_publish45

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicscorporate-memory, currency-converter, currency-exchange-rates, eccenca, plugin
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

57Moderate · 16% of overall

Security posture

46Weak
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
2.5/2.5CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/26 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 5 contributing companies or organizations
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
3/7.5Maintained — 5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages31
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:cmem-plugin-currencies@0.11.0 runtime dependency closure — what installing the published package pulls in — 31 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.

45Weak · 4% of overall

Agent context & guidance

6Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
6.5/40Legible commit history — 5 of 41 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.122
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

71Good
How it's scored
18/18One-command bootstrap — Taskfile.yaml
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
9.8/10Demonstrated agent practice — 2 of the last 41 commits agent-authored or agent-credited
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_filesTaskfile.yaml
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.049
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/10 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes13,636
source_files_sampled10
oversized_source_files0

Key facts

0GitHub stars
4contributors
8commits, last 12 months
12days since last push
6releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-09-19 01:49 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/26 approved changesets -- score normalized to 0
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
4Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIrequests^2.33.0pyproject.toml
PyPIcmem-plugin-base^4.20.0pyproject.toml
All dependencies 86

Full resolved dependency set from the GitHub dependency graph: 2 direct and 84 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcmem-plugin-base4.20.0direct
PyPIrequests2.34.2direct
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.0indirect
PyPIast-serialize0.9.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIboolean-py5.0indirect
PyPIcertifi2026.7.22indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.5.0indirect
PyPIclick-didyoumean0.3.1indirect
PyPIclick-help-colors0.9.4indirect
PyPIcmem-client1.1.0indirect
PyPIcmem-cmemc26.2.1indirect
PyPIcmem-cmempy25.5.0indirect
PyPIcolorama0.4.6indirect
PyPIconfigparser7.2.0indirect
PyPIcoverage7.16.0indirect
PyPIdefusedxml0.7.1indirect
PyPIdeptry0.25.1indirect
PyPIdnspython2.8.0indirect
PyPIemail-validator2.3.0indirect
PyPIgenbadge1.1.3indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.27.2indirect
PyPIhumanize4.16.0indirect
PyPIidna3.19indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjunit-xml1.9indirect
PyPIlibrt0.15.0indirect
PyPIlicense-expression30.4.4indirect
PyPIlinkify-it-py2.2.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImemray1.20.0indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPInatsort8.4.0indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIpip26.2.1indirect
PyPIplatformdirs4.11.7indirect
PyPIpluggy1.6.0indirect
PyPIprometheus-client0.24.1indirect
PyPIpycountry26.2.16indirect
PyPIpydantic2.13.5indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-extra-types2.11.1indirect
PyPIpygments2.21.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-dotenv0.5.2indirect
PyPIpytest-html4.2.0indirect
PyPIpytest-memray1.10.0indirect
PyPIpytest-metadata3.1.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-ulid3.2.1indirect
PyPIrdflib7.6.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrequirements-parser0.13.1indirect
PyPIrich14.3.4indirect
PyPIruff0.16.6indirect
PyPIsemver3.0.4indirect
PyPIsetuptools84.0.0indirect
PyPIsix1.17.0indirect
PyPIsmart-open7.7.1indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.9.2indirect
PyPItextual8.2.8indirect
PyPItomli2.4.1indirect
PyPItreelib1.8.0indirect
PyPItrivy-py-ecc0.73.0.1indirect
PyPItypes-requests2.33.0.20260712indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.7.0indirect
PyPIwrapt2.4.0indirect
PyPIxdg-base-dirs6.0.2indirect
Dependency advisories 0

Installing pypi:cmem-plugin-currencies@0.11.0 pulls in 31 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

Feedback

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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.