Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-10 20:09 UTC

Attumm / redis-dict

Python dictionary with Redis as backend, built for large datasets. Simplifies Redis operations for large-scale and distributed systems. Supports various data types, namespacing, pipelining, and expiration.

PythonMIT★ 76 stars⑂ 12 forkssince Jun 2017View on GitHub ↗

Attumm/redis-dict holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (78/100) and lowest on Sustainability & Governance (44/100). It was last updated today. 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

AttummPersonal account
12 followers25 public repossince Apr 2014

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

Package ecosystems

Metrics by category

Vitality

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

58Moderate · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 commits in the last year
0/10OpenSSF Scorecard: Maintained — 1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year0
human_commit_share0.94
days_since_last_push0
active_weeks_last_year0
How it's scored
27/27Ships releases — 28 releases published
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~78.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count28
latest_release_tagv3.4.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases78.3
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?

57Moderate · 17% of overall
How it's scored
30.4/60Stars — 76 stars
8.7/25Forks — 12 forks
0/15Watchers — 2 watchers
Inputs used
forks12
stars76
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

44Weak · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.9/22.5Commit distribution — top contributor authored 92% of commits
5.4/13.5Contributor breadth — 4 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.915
How it's scored
32.1/42Issue resolution — 76% of issues closed
27.1/30PR acceptance — 85/94 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/19 approved changesets -- score normalized to 0
Inputs used
merged_prs85
open_issues4
closed_issues13
prs_merged_7d9
prs_decided_7d9
prs_merged_30d9
prs_decided_30d9
issue_closed_ratio0.765
closed_unmerged_prs9
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.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
8/25Owner reach — 12 followers of Attumm
22.3/25Track record — 25 public repos, account ~12 yr old
Inputs used
followers12
owner_typeUser
is_verified—
owner_loginAttumm
public_repos25
account_age_days4,575
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

78Good · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.pylint], [tool.autopep8])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 1 out of 20 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://attumm.github.io/redis-dict/
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicspython, redis-dict, dictionary, distributed-systems, distributed-computing, pythonic
has_wikiyes
homepagehttps://attumm.github.io/redis-dict/
docs_sitehttps://attumm.github.io/redis-dict/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0/2.5CI-Tests — 1 out of 20 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/19 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
0/7.5Maintained — 1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 19 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.2
Excluded from scoring (no data or not applicable): Branch-Protection, 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
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories47
affected_packages9
assessed_packages182
unassessed_packages1
affected_by_severityhigh 5, moderate 3, low 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 182 resolved dependencies against OSV. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

52Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
23.3/40Legible commit history — 41 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.436
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.pylint], [tool.autopep8])
11/11Static type checking — src/redis_dict/py.typed
10/10Reproducible environment — lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 6 of the last 100 commits are automated dependency updates
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_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/redis_dict/py.typed
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0.06
How it's scored
27/45Type-checkable code — Python with type-check config (src/redis_dict/py.typed)
52.4/55Manageable file sizes — 1/21 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes77,255
source_files_sampled21
oversized_source_files1

Key facts

76GitHub stars
4contributors
0commits, last 12 months
0days since last push
28releases
1bus factor
4open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'redis-dict' points at a different repository (https://github.com/Attumm/redisdict.git); excluded from ecosystem scoring
  • deps.dev does not index pypi:redis-dict@3.4.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 12 ⇿
0Stars
12Forks
27Releases

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.

0246810121212017-082021-112026-02
Major 1Minor 9Patch 16

Each point covers 8 days.

OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 · 2026-10-10 20:09 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
0CI-Tests1 out of 20 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/19 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
0Maintained1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities19 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIredis>=6.0.0pyproject.toml
All dependencies 183

Full resolved dependency set from the GitHub dependency graph: 4 direct and 179 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIredis—direct
PyPIredis6.1.1direct
PyPIredis7.0.1direct
PyPIredis8.1.0direct
PyPIalabaster0.7.13indirect
PyPIalabaster0.7.16indirect
PyPIalabaster1.0.0indirect
PyPIast-serialize0.12.1indirect
PyPIastroid3.2.4indirect
PyPIastroid3.3.11indirect
PyPIastroid4.3.4indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.3.0indirect
PyPIattrs26.1.0indirect
PyPIautopep82.3.1indirect
PyPIautopep82.3.2indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbandit1.7.10indirect
PyPIbandit1.8.6indirect
PyPIbandit1.9.4indirect
PyPIbuild1.2.2.post1indirect
PyPIbuild1.4.4indirect
PyPIbuild1.6.1indirect
PyPIcertifi2026.7.22indirect
PyPIcffi1.17.1indirect
PyPIcffi2.0.0indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.10.7indirect
PyPIcoverage7.16.2indirect
PyPIcoverage7.6.1indirect
PyPIcryptography47.0.0indirect
PyPIcryptography50.0.2indirect
PyPIdarglint1.8.1indirect
PyPIdill0.4.0indirect
PyPIdill0.4.1indirect
PyPIdocutils0.20.1indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIfuture1.0.0indirect
PyPIhypothesis6.113.0indirect
PyPIhypothesis6.141.1indirect
PyPIhypothesis6.168.5indirect
PyPIid1.5.0indirect
PyPIid1.6.1indirect
PyPIidna3.15indirect
PyPIidna3.20indirect
PyPIimagesize1.5.0indirect
PyPIimagesize2.0.1indirect
PyPIimportlib-metadata8.5.0indirect
PyPIimportlib-metadata8.7.1indirect
PyPIimportlib-metadata9.0.1indirect
PyPIimportlib-resources6.4.5indirect
PyPIisort5.13.2indirect
PyPIisort6.1.0indirect
PyPIisort9.0.2indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.0.1indirect
PyPIjaraco-context6.1.1indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.1.0indirect
PyPIjaraco-functools4.4.0indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIkeyring25.5.0indirect
PyPIkeyring25.7.0indirect
PyPIlibrt0.16.0indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe2.1.5indirect
PyPImarkupsafe3.0.4indirect
PyPImccabe0.7.0indirect
PyPImdit-py-plugins0.4.2indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.5.0indirect
PyPImore-itertools10.8.0indirect
PyPImore-itertools11.1.0indirect
PyPImypy1.14.1indirect
PyPImypy1.19.1indirect
PyPImypy2.4.0indirect
PyPImypy-extensions1.1.0indirect
PyPImyst-parser3.0.1indirect
PyPImyst-parser4.0.1indirect
PyPImyst-parser5.1.0indirect
PyPInh30.3.7indirect
PyPIpackaging26.2indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpbr7.1.3indirect
PyPIplatformdirs4.12.4indirect
PyPIplatformdirs4.3.6indirect
PyPIplatformdirs4.4.0indirect
PyPIpycodestyle2.12.1indirect
PyPIpycodestyle2.14.0indirect
PyPIpycodestyle2.15.0indirect
PyPIpycparser2.23indirect
PyPIpycparser3.11indirect
PyPIpydocstyle6.3.0indirect
PyPIpyflakes3.2.0indirect
PyPIpyflakes3.4.0indirect
PyPIpyflakes4.0.3indirect
PyPIpygments2.19.2indirect
PyPIpygments2.21.0indirect
PyPIpylama8.4.1indirect
PyPIpylint3.2.7indirect
PyPIpylint3.3.9indirect
PyPIpylint4.1.2indirect
PyPIpyproject-hooks1.3.3indirect
PyPIpytz2026.5indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer43.0indirect
PyPIreadme-renderer44.0indirect
PyPIreadme-renderer46.0indirect
PyPIredis-dict3.4.0indirect
PyPIrequests2.32.4indirect
PyPIrequests2.32.5indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich14.3.4indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIsecretstorage3.3.3indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools75.3.4indirect
PyPIsetuptools80.10.2indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsphinx7.1.2indirect
PyPIsphinx7.4.7indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autodoc-typehints2.0.1indirect
PyPIsphinx-autodoc-typehints2.3.0indirect
PyPIsphinx-autodoc-typehints3.0.1indirect
PyPIsphinx-autodoc-typehints3.13.9indirect
PyPIsphinx-autodoc-typehints3.6.1indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp1.0.4indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp1.0.2indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.0.1indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp1.0.3indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml1.1.5indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstevedore5.3.0indirect
PyPIstevedore5.5.0indirect
PyPIstevedore5.8.0indirect
PyPIstevedore5.9.1indirect
PyPItomli2.5.0indirect
PyPItomlkit0.13.3indirect
PyPItomlkit0.15.1indirect
PyPItwine6.1.0indirect
PyPItwine6.2.0indirect
PyPItwine7.0.0indirect
PyPItypes-cffi1.16.0.20241221indirect
PyPItypes-cffi1.17.0.20250915indirect
PyPItypes-cffi2.1.0.20260827indirect
PyPItypes-pyopenssl24.1.0.20240722indirect
PyPItypes-redis4.6.0.20241004indirect
PyPItypes-setuptools75.8.0.20250110indirect
PyPItypes-setuptools81.0.0.20260209indirect
PyPItypes-setuptools84.0.0.20261006indirect
PyPItyping-extensions4.13.2indirect
PyPItyping-extensions4.16.0indirect
PyPIurllib32.2.3indirect
PyPIurllib32.6.3indirect
PyPIurllib32.8.0indirect
PyPIzipp3.20.2indirect
PyPIzipp3.23.1indirect
PyPIzipp4.1.1indirect
Dependency advisories 9

This repository publishes no package the index resolves, so its own dependency graph was assessed — 182 packages, which also include development and test pins that never ship: 9 carry known advisories, of which 0 are direct. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
cryptography47.0.0indirecthigh750.0.0
jaraco-context6.0.1indirecthigh26.1.0
setuptools75.3.4indirecthigh483.0.0
urllib32.2.3indirecthigh162.8.0
urllib32.6.3indirecthigh102.8.0
requests2.32.4indirectmoderate22.33.0
requests2.32.5indirectmoderate22.33.0
setuptools80.10.2indirectmoderate283.0.0
pygments2.19.2indirectlow22.20.0

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.