Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-28 22:47 UTC

watertap-org / watertap

The WaterTAP development repository

Python · Jupyter NotebookCustom license★ 107 stars⑂ 96 forkssince Oct 2020View on GitHub ↗
KindLibraryPluginhow this is determined

watertap-org/watertap holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (95/100) and lowest on AI Readiness (53/100). It was last updated today. 5 contributors account for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

watertap-orgOrganization
21 followers22 public repossince Sep 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIwatertap1.7.09,5485389 days agowater-systemschemical-engineeringprocess-modelingfiltrationdesalinationnawi

Metrics by category

Vitality

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

89Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
29.1/36Commit cadence — 42/52 weeks with commits
18/18Commit volume — 223 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_year223
human_commit_share1
days_since_last_push0
active_weeks_last_year42
How it's scored
27/27Ships releases — 23 releases published
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~87.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count23
latest_release_tag1.8.0rc0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases87.4

Community & Adoption

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

56Moderate · 17% of overall
How it's scored
32.9/60Stars — 107 stars
16.5/25Forks — 96 forks
4.7/15Watchers — 8 watchers
Inputs used
forks96
stars107
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, isitmaintained.com, readthedocs.org, shields.io
has_pull_request_templateyes
How it's scored
53.1/80Monthly downloads — 9,548 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageswatertap
dependents—
ecosystemspypi
total_downloads—
monthly_downloads9,548
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?

82Excellent · 23% of overall
How it's scored
45.9/54Bus factor — 5 contributor(s) cover half of all commits
18.9/22.5Commit distribution — top contributor authored 16% of commits
13.5/13.5Contributor breadth — 42 contributors
10/10OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations
Inputs used
bus_factor5
contributors_sampled42
top_contributor_share0.16
How it's scored
32.9/42Issue resolution — 78% of issues closed
25.5/30PR acceptance — 1,100/1,295 decided PRs merged
13/13Newcomer PR acceptance — 3/3 first-time contributors' PRs merged in 30d
12/15OpenSSF Scorecard: Code-Review — Found 10/12 approved changesets -- score normalized to 8
Inputs used
merged_prs1,100
open_issues116
closed_issues419
prs_merged_7d5
prs_decided_7d5
prs_merged_30d10
prs_decided_30d15
issue_closed_ratio0.783
closed_unmerged_prs195
first_time_authors_30d2
first_time_prs_merged_30d3
first_time_prs_decided_30d3
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
9.7/25Owner reach — 21 followers of watertap-org
19.9/25Track record — 22 public repos, account ~5 yr old
Inputs used
followers21
owner_typeOrganization
is_verifiedno
owner_loginwatertap-org
public_repos22
account_age_days1,831

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 89 days ago
20/20Version history — 53 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageswatertap
ecosystemspypi
any_deprecatedno
min_days_since_publish89

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.pylint])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 10 out of 11 merged PRs checked by a CI test -- score normalized to 9
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://watertap.readthedocs.io/en/latest
10/10Repository description
10/10Topics — 3 topics
10/10Wiki
Inputs used
topicsidaes-pse, idaesplus, watertap
has_wikiyes
homepagehttps://watertap.readthedocs.io/en/latest
docs_sitehttps://watertap.readthedocs.io/en/latest
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

60Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 10 out of 11 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 10/12 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 16 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
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
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5
Excluded from scoring (no data or not applicable): Branch-Protection. 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_packages32
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:watertap@1.7.0 runtime dependency closure — what installing the published package pulls in — 32 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.

53Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
24.5/40Legible commit history — 46 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.46
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.pylint])
0/11Static type checking
0/10Reproducible environment
6/10Demonstrated agent practice — 3 of the last 100 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
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
52.8/55Manageable file sizes — 24/613 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes137,081
source_files_sampled613
oversized_source_files24
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 — notebooks
Inputs used
example_dirsnotebooks
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

107GitHub stars
42contributors
223commits, last 12 months
0days since last push
23releases
5bus factor
116open issues
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 ★ / 96 ⇿
0Stars
96Forks
22Releases

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.

0204060801009462021-052024-012026-09
Major 1Minor 19Patch 1

Each point covers 5 days.

OpenSSF Scorecard 5.0 / 10
5.0aggregate

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 · 2026-09-28 22:46 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
9CI-Tests10 out of 11 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 10/12 approved changesets -- score normalized to 8
10Contributorsproject has 16 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 0 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
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
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIidaes-pse>=2.13.0pyproject.toml
PyPIpyomo>=6.9.5pyproject.toml
PyPIwatertap-solvers—pyproject.toml
PyPIpyyaml—pyproject.toml
PyPIparameter-sweep>=0.2.0pyproject.toml
PyPInumpy—pyproject.toml
PyPIpint<0.25pyproject.toml
All dependencies 17

Full resolved dependency set from the GitHub dependency graph: 4 direct and 13 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIidaes-pse—direct
PyPIparameter-sweep—direct
PyPIpint—direct
PyPIpyomo—direct
PyPIastroid3.3.11indirect
PyPIblack26.3.1indirect
PyPIidaes-flowsheet-processor—indirect
PyPInbmake—indirect
PyPInbsphinx—indirect
PyPIpre-commit—indirect
PyPIpylint3.3.9indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov—indirect
PyPIreaktoro-pse—indirect
PyPIsetuptools—indirect
PyPIsphinx—indirect
PyPIsphinx-rtd-theme—indirect
Dependency advisories 0

Installing pypi:watertap@1.7.0 pulls in 32 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 v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.