Public record
Software health reportschema 0.18.0 · metrics 2.10.0 · 2026-07-21 11:16 UTC

TI-Forest-Sector-Modelling / TiMBA

Timber market Model for policy-Based Analysis

PythonAGPL-3.0★ 7 stars⑂ 6 forkssince Sep 2024View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

TI-Forest-Sector-Modelling/TiMBA holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Vitality (85/100) and lowest on AI Readiness (29/100). It was last updated 4 days ago. 2 contributors account for most of its recent work.

73
overall / 100
Good

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.

73
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 64 is calibrated to 73 on the published index scale (record calibration 2026-08-02).

Ownership

5 followers6 public repossince Sep 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpytimba1.4.2-44 days agotimbamodeloptimizationthuenen-instituteeconomics-of-forestsresearch

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 4 days ago
16.6/36Commit cadence24/52 weeks with commits
18/18Commit volume251 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_year251
human_commit_share
days_since_last_push4
active_weeks_last_year24
How it's scored
27/27Ships releases10 releases published
36/36Release recencylatest release 4 days ago
19.8/27Release cadencea release every ~73.2 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count10
latest_release_tagv1.4.2
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases73.2
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?

43Weak · 17% of overall
How it's scored
12.6/60Stars7 stars
5.8/25Forks6 forks
1.7/15Watchers3 watchers
Inputs used
forks6
stars7
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (AGPL-3.0)
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?

67Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.1/22.5Commit distributiontop contributor authored 46% of commits
6.8/13.5Contributor breadth5 contributors
10/10OpenSSF Scorecard: Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor2
contributors_sampled5
top_contributor_share0.464
How it's scored
32.4/42Issue resolution77% of issues closed
26.3/30PR acceptance36/41 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
4.5/15OpenSSF Scorecard: Code-ReviewFound 2/6 approved changesets -- score normalized to 3
Inputs used
merged_prs36
open_issues18
closed_issues61
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.772
closed_unmerged_prs5
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
5.6/25Owner reach5 followers of TI-Forest-Sector-Modelling
9.8/25Track record6 public repos, account ~1 yr old
Inputs used
followers5
owner_typeOrganization
is_verified
owner_loginTI-Forest-Sector-Modelling
public_repos6
account_age_days669
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 4 days ago
12/20Version history4 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespytimba
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://doi.org/10.5281/zenodo.13842384
10/10Repository description
10/10Topics5 topics
0/10Wiki
Inputs used
topicsforest-sector-modelling, optimization, partial-equilibrium-model, research, wood-markets
has_wikino
homepagehttps://doi.org/10.5281/zenodo.13842384
docs_sitehttps://doi.org/10.5281/zenodo.13842384
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

48Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2.5/2.5CI-Tests3 out of 3 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
2.2/7.5Code-ReviewFound 2/6 approved changesets -- score normalized to 3
2.5/2.5Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update 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
1/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities32 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.2
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.
How it's scored
14.8/35Direct dependencies free of known advisories1 affected: click 8.1.7 (high 7.2)
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
40/40No advisories left outstandingno advisory has been public longer than 90 days
Inputs used
sourceosv
advisories58
affected_packages10
assessed_packages98
unassessed_packages0
affected_by_severitycritical 1, high 5, moderate 4
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 98 resolved dependencies against OSV. 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.

29At Risk · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
2/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
0/45Type-checkable codePython without a type-check config
52.9/55Manageable file sizes2/52 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes117,587
source_files_sampled52
oversized_source_files2

Key facts

7GitHub stars
5contributors
251commits, last 12 months
4days since last push
10releases
2bus factor
18open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:pytimba@1.4.2; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 7 ★ / 6 ⇿
7Stars
6Forks

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.

01345687612024-102025-092026-07

Each point covers 2 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 · 2026-07-21 11:15 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
3Code-ReviewFound 2/6 approved changesets -- score normalized to 3
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update 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
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities32 existing vulnerabilities detected
Direct dependencies 15
RegistryPackageVersion constraintManifest
PyPIclick==8.1.7pyproject.toml
PyPIcoverage==7.6.3pyproject.toml
PyPIosqp==0.6.7.post3pyproject.toml
PyPIcvxpy==1.6.4pyproject.toml
PyPIdataclasses==0.6pyproject.toml
PyPIDateTime==5.5pyproject.toml
PyPIopenpyxl==3.1.5pyproject.toml
PyPInumpy==1.26.4pyproject.toml
PyPIpandas==1.5.3pyproject.toml
PyPIpathlib==1.0.1pyproject.toml
PyPItomli==2.0.2pyproject.toml
PyPItyping==3.7.4.3pyproject.toml
PyPITiMBA-Charts==1.0.3pyproject.toml
PyPIPyYAML==6.0.3pyproject.toml
PyPICarbon-Module==1.1.2pyproject.toml
All dependencies 98

Full resolved dependency set from the GitHub dependency graph: 16 direct and 82 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcarbon-module1.1.1direct
PyPIcarbon-module1.1.2direct
PyPIclick8.1.7direct
PyPIcoverage7.6.3direct
PyPIcvxpy1.6.4direct
PyPIdataclasses0.6direct
PyPIdatetime5.5direct
PyPInumpy1.26.4direct
PyPIopenpyxl3.1.5direct
PyPIosqp0.6.7.post3direct
PyPIpandas1.5.3direct
PyPIpathlib1.0.1direct
PyPIpyyaml6.0.3direct
PyPItimba-charts1.0.3direct
PyPItomli2.0.2direct
PyPItyping3.7.4.3direct
PyPIattrs26.1.0indirect
PyPIblinker1.9.0indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.0.0indirect
PyPIcffi2.1.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclarabel0.11.1indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.0indirect
PyPIcontourpy1.3.2indirect
PyPIcontourpy1.3.3indirect
PyPIcryptography47.0.0indirect
PyPIcryptography49.0.0indirect
PyPIcycler0.12.1indirect
PyPIdash3.0.0indirect
PyPIdash-bootstrap-components2.0.0indirect
PyPIet-xmlfile2.0.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIflask3.0.3indirect
PyPIfonttools4.60.2indirect
PyPIfonttools4.63.0indirect
PyPIh110.16.0indirect
PyPIidna3.18indirect
PyPIimportlib-metadata8.7.1indirect
PyPIimportlib-metadata9.0.0indirect
PyPIimportlib-resources6.5.2indirect
PyPIitsdangerous2.2.0indirect
PyPIjinja23.1.6indirect
PyPIkiwisolver1.4.7indirect
PyPIkiwisolver1.5.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.10.9indirect
PyPImatplotlib3.11.0indirect
PyPImatplotlib3.9.4indirect
PyPInarwhals2.21.0indirect
PyPInarwhals2.23.0indirect
PyPInest-asyncio1.6.0indirect
PyPIoutcome1.3.0.post0indirect
PyPIpackaging26.2indirect
PyPIpillow11.3.0indirect
PyPIpillow12.3.0indirect
PyPIplotly6.0.1indirect
PyPIpycparser2.23indirect
PyPIpycparser3.0indirect
PyPIpyopenssl26.2.0indirect
PyPIpyopenssl26.3.0indirect
PyPIpyparsing3.3.2indirect
PyPIpysocks1.7.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytimba1.3.0indirect
PyPIpytz2026.2indirect
PyPIqdldl0.1.9.post1indirect
PyPIrequests2.32.5indirect
PyPIrequests2.34.2indirect
PyPIretrying1.4.2indirect
PyPIscipy1.13.1indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIscs3.2.11indirect
PyPIseaborn0.13.2indirect
PyPIselenium4.2.0indirect
PyPIsetuptools75.2.0indirect
PyPIsetuptools82.0.1indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIstringcase1.2.0indirect
PyPItqdm4.67.1indirect
PyPItrio0.31.0indirect
PyPItrio0.33.0indirect
PyPItrio-websocket0.12.2indirect
PyPItyping-extensions4.16.0indirect
PyPIurllib31.26.20indirect
PyPIurllib3-secure-extra0.1.0indirect
PyPIwerkzeug3.0.6indirect
PyPIwsproto1.2.0indirect
PyPIwsproto1.3.2indirect
PyPIzipp3.23.1indirect
PyPIzipp4.1.0indirect
PyPIzope-interface8.0.1indirect
PyPIzope-interface8.5indirect
Dependency advisories 10

This repository publishes no package the index resolves, so its own dependency graph was assessed — 98 packages, which also include development and test pins that never ship: 10 carry known advisories, of which 1 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow11.3.0indirectcritical3112.3.0
click8.1.7directhigh18.3.3
cryptography47.0.0indirecthigh148.0.1
selenium4.2.0indirecthigh14.14.0
setuptools75.2.0indirecthigh383.0.0
urllib31.26.20indirecthigh102.7.0
flask3.0.3indirectmoderate23.1.3
requests2.32.5indirectmoderate22.33.0
setuptools82.0.1indirectmoderate183.0.0
werkzeug3.0.6indirectmoderate63.1.6

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 v0.18.0 — full methodology · metrics wiki.

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