Public record
Software health reportschema 0.27.0 · metrics 2.10.0 · 2026-08-02 14:03 UTC

frequenz-floss / frequenz-client-assets-python

PythonMIT★ 0 stars⑂ 9 forkssince Feb 2025View on GitHub ↗

frequenz-floss/frequenz-client-assets-python holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Vitality (85/100) and lowest on Community & Adoption (37/100). It was last updated today. 2 contributors account for most of its recent work.

80
overall / 100
Excellent

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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

23 followers66 public repossince Aug 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfrequenz-client-assets0.5.0-716 days agofrequenzpythonliblibraryfrequenz-client-assetsclient-assetsclientassetsapi

Metrics by category

Vitality

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

85Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
18/36Commit cadence26/52 weeks with commits
18/18Commit volume228 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year228
human_commit_share0.29
days_since_last_push0
active_weeks_last_year26
How it's scored
27/27Ships releases8 releases published
36/36Release recencylatest release 16 days ago
27/27Release cadencea release every ~40.6 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count8
latest_release_tagv0.5.0
releases_from_tagsno
days_since_latest_release16
mean_days_between_releases40.6

Community & Adoption

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

37Weak · 17% of overall
How it's scored
0/60Stars0 stars
7.5/25Forks9 forks
0/15Watchers2 watchers
Inputs used
forks9
stars0
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

74Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
14.1/22.5Commit distributiontop contributor authored 37% of commits
10.8/13.5Contributor breadth8 contributors
10/10OpenSSF Scorecard: Contributorsproject has 6 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled8
top_contributor_share0.373
How it's scored
25.2/42Issue resolution60% of issues closed
25.3/30PR acceptance108/128 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-ReviewFound 2/4 approved changesets -- score normalized to 5
Inputs used
merged_prs108
open_issues2
closed_issues3
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.6
closed_unmerged_prs20
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
9.9/25Owner reach23 followers of frequenz-floss
21/25Track record66 public repos, account ~3 yr old
Inputs used
followers23
owner_typeOrganization
is_verified
owner_loginfrequenz-floss
public_repos66
account_age_days1,458
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 16 days ago
20/20Version history7 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesfrequenz-client-assets
ecosystemspypi
any_deprecatedno
min_days_since_publish16

Engineering Quality

Are baseline engineering and documentation practices in place?

70Good · 19% of overall
How it's scored
24/24CI workflows8 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configno
has_precommit_configno
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

73Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-ReviewFound 2/4 approved changesets -- score normalized to 5
2.5/2.5Contributorsproject has 6 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
5/5Pinned-Dependenciesall dependencies are pinned
4/5SASTSAST tool is not run on all commits -- score normalized to 8
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.6

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages12
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:frequenz-client-assets@0.5.0 runtime dependency closure — what installing the published package pulls in — 12 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.

59Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
34.9/40Legible commit history19 of 29 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.655
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapnoxfile.py
22/22Automated tests
0/11Lint / format config
11/11Static type checkingsrc/frequenz/client/assets/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance35 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependenciesall dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_configno
typecheck_configssrc/frequenz/client/assets/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.35
How it's scored
27/45Type-checkable codePython with type-check config (src/frequenz/client/assets/py.typed)
55/55Manageable file sizes0/95 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes29,209
source_files_sampled95
oversized_source_files0

Key facts

0GitHub stars
8contributors
228commits, last 12 months
0days since last push
8releases
2bus factor
2open issues
PyPIpackage ecosystems

More detail

Star and fork history 0 ★ / 9 ⇿
0Stars
9Forks
6Releases

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.

0246810912025-022025-102026-06
Major 0Minor 3Patch 3

Each point covers 2 days.

OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 · 2026-08-02 14:03 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 2/4 approved changesets -- score normalized to 5
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
8SASTSAST tool is not run on all commits -- score normalized to 8
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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPItyping-extensions>= 4.13.0, < 5pyproject.toml
PyPIfrequenz-api-assets>= 0.4.0, < 0.5.0pyproject.toml
PyPIfrequenz-api-common>= 0.8.11, < 1pyproject.toml
PyPIfrequenz-client-base>= 0.11.0, < 0.12.0pyproject.toml
PyPIfrequenz-client-common>= 0.3.8, < 0.5.0pyproject.toml
PyPIgrpcio>= 1.81.1, < 2pyproject.toml
All dependencies 36

Full resolved dependency set from the GitHub dependency graph: 6 direct and 30 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIfrequenz-api-assetsdirect
PyPIfrequenz-api-commondirect
PyPIfrequenz-client-basedirect
PyPIfrequenz-client-commondirect
PyPIgrpciodirect
PyPItyping-extensionsdirect
PyPIasync-solipsism0.9indirect
PyPIasyncclick8.4.2.1indirect
PyPIblack26.5.1indirect
PyPIflake87.3.0indirect
PyPIflake8-datetimez20.10.0indirect
PyPIflake8-docstrings1.7.0indirect
PyPIflake8-pyproject1.2.4indirect
PyPIfrequenz-repo-config0.18.0indirect
PyPIgrpc-stubs1.53.0.6indirect
PyPIisort8.0.1indirect
PyPImarkdown3.10.2indirect
PyPImike2.2.0indirect
PyPImkdocs-gen-files0.6.1indirect
PyPImkdocs-literate-nav0.6.3indirect
PyPImkdocs-macros-plugin1.5.0indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python2.0.5indirect
PyPImypy2.3.0indirect
PyPInox2026.7.11indirect
PyPIpydoclint0.9.1indirect
PyPIpydocstyle6.3.0indirect
PyPIpylint4.0.6indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-mock3.15.1indirect
PyPIsetuptools83.0.0indirect
PyPIsetuptools-scm10.2.1indirect
PyPItypes-markdown3.10.2.20260712indirect
PyPItypes-protobuf7.34.1.20260518indirect
Dependency advisories 0

Installing pypi:frequenz-client-assets@0.5.0 pulls in 12 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

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 v0.27.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.