Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 20:04 UTC

retentioneering / retentioneering-tools

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

Python · TypeScript · Jupyter NotebookApache-2.0★ 935 stars⑂ 142 forkssince Jul 2019View on GitHub ↗
KindMCP serverLibraryhow this is determined
#product-analytics#user-trajectories-analysis#machine-learning#predictive-analytics#predictive-modeling#clickstream#segmentation#graph-visualizer#user-trajectories#web-analytics#behaviour-analysis#customer-journey-map#python#data-visualization#clickstream-analysis#analytics-mcp#agent-skills#quant-ux#user-flow#customer-journey-analytics

retentioneering/retentioneering-tools holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (55/100). It was last updated today. A single contributor accounts for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

RetentioneeringOrganization
35 followers7 public repossince Apr 2019

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIretentioneering5.2.416,5966412 days agoa-b-testingai-agentsmcp-servermarkov-chainsagent-skillsauditable-analyticsbehavioral-analyticsbehavioral-segmentationclickstream-analyticsconversion-analysiscustomer-journey-analyticsevent-log-analysisfunnel-analysisgraph-analyticsmultiscale-analyticspath-analysisprocess-miningproduct-analyticsquantitative-uxreproducible-analyticsretention-analysisretentioneeringsession-analysisuser-flow-analysisuser-journey-analysiswhat-if-cjm-analysis

Metrics by category

Vitality

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

81Excellent · 21% of overall

Development activity

75Good
How it's scored
36/36Push recency — last push 0 days ago
11.1/36Commit cadence — 16/52 weeks with commits
18/18Commit volume — 394 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year394
human_commit_share0.94
days_since_last_push0
active_weeks_last_year16

Release discipline

90Excellent
How it's scored
27/27Ships releases — 11 releases published
36/36Release recency — latest release 12 days ago
27/27Release cadence — a release every ~9.6 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count11
latest_release_tagv5.2.4
releases_from_tagsno
days_since_latest_release12
mean_days_between_releases9.6

Community & Adoption

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

74Good · 17% of overall

Popularity & adoption

74Good
How it's scored
48.2/60Stars — 935 stars
17.9/25Forks — 142 forks
8.4/15Watchers — 33 watchers
Inputs used
forks142
stars935
watchers33
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

70Good
How it's scored
56.3/80Monthly downloads — 16,596 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesretentioneering
dependents—
ecosystemspypi
total_downloads—
monthly_downloads16,596
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?

61Moderate · 23% of overall

Maintainer resilience (bus factor)

23At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.6/22.5Commit distribution — top contributor authored 88% of commits
8.1/13.5Contributor breadth — 6 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.883

Issue & PR responsiveness

75Good
How it's scored
35/42Issue resolution — 83% of issues closed
25.7/30PR acceptance — 115/134 decided PRs merged
9.8/13Newcomer PR acceptance — 3/4 first-time contributors' PRs merged in 30d
4.5/15OpenSSF Scorecard: Code-Review — Found 4/11 approved changesets -- score normalized to 3
Inputs used
merged_prs115
open_issues6
closed_issues30
prs_merged_7d4
prs_decided_7d4
prs_merged_30d16
prs_decided_30d20
issue_closed_ratio0.833
closed_unmerged_prs19
first_time_authors_30d3
first_time_prs_merged_30d3
first_time_prs_decided_30d4

Ownership & stewardship

60Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
11.2/25Owner reach — 35 followers of retentioneering
18.6/25Track record — 7 public repos, account ~7 yr old
Inputs used
followers35
owner_typeOrganization
is_verifiedno
owner_loginretentioneering
public_repos7
account_age_days2,755

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 12 days ago
20/20Version history — 64 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesretentioneering
ecosystemspypi
any_deprecatedno
min_days_since_publish12

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 4 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 — 11 out of 11 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://retentioneering.com/docs/
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsproduct-analytics, user-trajectories-analysis, machine-learning, predictive-analytics, predictive-modeling, clickstream, segmentation, graph-visualizer, user-trajectories, web-analytics, behaviour-analysis, customer-journey-map, python, data-visualization, clickstream-analysis, analytics-mcp, agent-skills, quant-ux, user-flow, customer-journey-analytics
has_wikiyes
homepagehttps://retentioneering.com/docs/
docs_sitehttps://retentioneering.com/docs/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

55Moderate · 16% of overall

Security posture

44Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 11 out of 11 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
2.2/7.5Code-Review — Found 4/11 approved changesets -- score normalized to 3
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
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 19 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.4
Excluded from scoring (no data or not applicable): Packaging. 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_packages88
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:retentioneering@5.2.4 runtime dependency closure — what installing the published package pulls in — 88 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.

94Exceptional · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://retentioneering.com/llms.txt)
40/40Legible commit history — 87 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://retentioneering.com/llms.txt
legible_history_share0.926
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes13,944

Verify loop (build / test / typecheck)

93Exceptional
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — js/viz-core/tsconfig.json, js/widget/tsconfig.json
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 41 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 6 of the last 100 commits are automated dependency updates
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsjs/viz-core/tsconfig.json, js/widget/tsconfig.json
agent_commit_share0.41
toolchain_manifests—
dependency_bot_commit_share0.06

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (js/viz-core/tsconfig.json, js/widget/tsconfig.json)
53.6/55Manageable file sizes — 5/197 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes145,072
source_files_sampled197
oversized_source_files5

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — notebooks
Inputs used
example_dirsnotebooks
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

935GitHub stars
6contributors
394commits, last 12 months
0days since last push
11releases
1bus factor
6open issues
npm, PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 142 ⇿
0Stars
142Forks
11Releases

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.

025507510012515014252019-072023-022026-10
Major 1Minor 2Patch 5

Each point covers 7 days.

OpenSSF Scorecard 4.4 / 10
4.4aggregate

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 · 2026-10-19 20:04 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 4/11 approved changesets -- score normalized to 3
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
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0SASTSAST tool is not run on all commits -- score normalized to 0
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
0Vulnerabilities19 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIpandas>=2.2pyproject.toml
PyPIduckdb>=1.1pyproject.toml
PyPIanywidget>=0.9pyproject.toml
PyPIposthog>=3.0pyproject.toml
PyPIipywidgets>=7.7pyproject.toml
PyPItraitlets>=5.0pyproject.toml
PyPIpyarrow>=14.0pyproject.toml
PyPIscikit-learn>=1.3pyproject.toml
PyPInumpy>=1.26pyproject.toml
PyPIscipy>=1.11pyproject.toml
PyPImatplotlib>=3.5pyproject.toml
PyPImcp>=2.2,<3pyproject.toml
PyPIhttpcore>=1.0.9pyproject.toml
PyPIgensim>=4.3.3pyproject.toml
All dependencies 347

Full resolved dependency set from the GitHub dependency graph: 20 direct and 327 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmvite6.4.3indirect
npmvite^6.3.5indirect
npmyallist3.1.1indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIappnope0.1.4indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarrow1.4.0indirect
PyPIasttokens3.0.1indirect
PyPIasync-lru2.3.0indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackoff2.2.1indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbleach6.4.0indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.2indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage7.14.1indirect
PyPIcryptography50.0.0indirect
PyPIcycler0.12.1indirect
PyPIdebugpy1.8.21indirect
PyPIdecorator5.3.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdistlib0.4.3indirect
PyPIdistro1.9.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIfilelock3.29.5indirect
PyPIfonttools4.63.0indirect
PyPIfqdn1.5.1indirect
PyPIh110.16.0indirect
PyPIhttpcore22.13.0indirect
PyPIhttpx0.28.1indirect
PyPIhttpx22.13.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.3.0indirect
PyPIipython8.39.0indirect
PyPIipython9.14.1indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIisoduration20.11.0indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIjson50.14.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.9.1indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyter-events0.12.1indirect
PyPIjupyter-lsp2.3.1indirect
PyPIjupyter-server2.20.0indirect
PyPIjupyter-server-terminals0.5.4indirect
PyPIjupyterlab4.5.10indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-server2.28.0indirect
PyPIjupyterlab-widgets3.0.16indirect
PyPIkiwisolver1.5.0indirect
PyPIlark1.3.1indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImcp-types2.2.0indirect
PyPImdurl0.1.2indirect
PyPImistune3.3.3indirect
PyPInarwhals2.22.1indirect
PyPInbclient0.11.0indirect
PyPInbconvert7.17.1indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio21.7.2indirect
PyPInodeenv1.10.0indirect
PyPInotebook7.5.7indirect
PyPInotebook-shim0.2.4indirect
PyPIopentelemetry-api1.44.0indirect
PyPIoverrides7.7.0indirect
PyPIpackaging26.2indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.7indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIprometheus-client0.25.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.2.2indirect
PyPIpsygnal0.15.1indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.14.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.1.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.3indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-json-logger4.1.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpytz2026.2indirect
PyPIpywin32312indirect
PyPIpywinpty3.0.5indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIretentioneering5.2.4indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.5.1indirect
PyPIruff0.15.20indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmart-open8.0.1indirect
PyPIsoupsieve2.9indirect
PyPIsse-starlette3.4.5indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPIterminado0.18.1indirect
PyPIthreadpoolctl3.6.0indirect
PyPItinycss21.5.1indirect
PyPItomli2.4.1indirect
PyPItornado6.5.8indirect
PyPItruststore0.10.4indirect
PyPItyper0.26.7indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.49.0indirect
PyPIvirtualenv21.5.1indirect
PyPIwcwidth0.8.1indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwrapt2.2.2indirect
Dependency advisories 0

Installing pypi:retentioneering@5.2.4 pulls in 88 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.

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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.