Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-20 06:34 UTC

switchbox-data / buildstock-fetch

Library that simplifies downloading building characteristics and load curve data from NREL's ResStock and ComStock projects.

PythonMIT★ 3 stars⑂ 3 forkssince May 2025View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

switchbox-data/buildstock-fetch holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (39/100). It was last updated 15 days ago. A single contributor accounts for most of its recent work.

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.

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)

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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

SwitchboxOrganization

8 followers24 public repossince Jun 2022

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

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish	Tags
PyPI	buildstock-fetch	1.6.7	406	26	44 days ago	python

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

67Good

How it's scored

28.8/36	Push recency — last push 15 days ago
16.6/36	Commit cadence — 24/52 weeks with commits
18/18	Commit volume — 378 commits in the last year
4/10	OpenSSF Scorecard: Maintained — 5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4

Inputs used

commits_last_year	378
human_commit_share	1
days_since_last_push	15
active_weeks_last_year	24

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 27 releases published
36/36	Release recency — latest release 44 days ago
27/27	Release cadence — a release every ~28.2 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	27
latest_release_tag	v1.6.7
releases_from_tags	no
days_since_latest_release	44
mean_days_between_releases	28.2

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?

39Weak · 17% of overall

Popularity & adoption

9Critical

How it's scored

4.9/60	Stars — 3 stars
2.5/25	Forks — 3 forks
1.7/15	Watchers — 3 watchers

Inputs used

forks	3
stars	3
watchers	3
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

70Good

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (MIT)
18/18	CONTRIBUTING guide
0/13.5	Code of conduct
0/7.2	Issue template
0/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	4
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

43Weak

How it's scored

34.8/80	Monthly downloads — 406 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	buildstock-fetch
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	406
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?

64Moderate · 23% of overall

Maintainer resilience (bus factor)

36Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
9.3/22.5	Commit distribution — top contributor authored 58% of commits
12.2/13.5	Contributor breadth — 9 contributors
6/10	OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6

Inputs used

bus_factor	1
contributors_sampled	9
top_contributor_share	0.585

Issue & PR responsiveness

76Good

How it's scored

38.6/42	Issue resolution — 92% of issues closed
27.3/30	PR acceptance — 70/77 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/13 approved changesets -- score normalized to 0

Inputs used

merged_prs	70
open_issues	9
closed_issues	104
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	0
prs_decided_30d	0
issue_closed_ratio	0.92
closed_unmerged_prs	7
first_time_authors_30d	0
first_time_prs_merged_30d	0
first_time_prs_decided_30d	0

Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

56Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
6.9/25	Owner reach — 8 followers of switchbox-data
18.7/25	Track record — 24 public repos, account ~4 yr old

Inputs used

followers	8
owner_type	Organization
is_verified	no
owner_login	switchbox-data
public_repos	24
account_age_days	1,562

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 44 days ago
20/20	Version history — 26 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	buildstock-fetch
ecosystems	pypi
any_deprecated	no
min_days_since_publish	44

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 2 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff]), tox.ini
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://switchbox-data.github.io/buildstock-fetch/
10/10	Repository description
0/10	Topics
10/10	Wiki

Inputs used

topics	—
has_wiki	yes
homepage	—
docs_site	https://switchbox-data.github.io/buildstock-fetch/
has_readme	yes
has_docs_dir	yes
has_description	yes

Security

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

48Weak · 16% of overall

Security posture

35Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5	CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5	Code-Review — Found 0/13 approved changesets -- score normalized to 0
1.5/2.5	Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
3/7.5	Maintained — 5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
0/5	Packaging — no data
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5	Vulnerabilities — 3 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	3.5

Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	62
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:buildstock-fetch@1.6.7 runtime dependency closure — what installing the published package pulls in — 62 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.

41Weak · 4% of overall

Agent context & guidance

5Critical

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
5.3/40	Legible commit history — 10 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.1
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

63Moderate

How it's scored

18/18	One-command bootstrap — Justfile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff]), tox.ini
0/11	Static type checking
10/10	Reproducible environment — devcontainer, lockfile
2/10	Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8	Automated maintenance — no automated dependency updates observed
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	Justfile
has_devcontainer	yes
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.01
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

54Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
54/55	Manageable file sizes — 1/56 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	80,334
source_files_sampled	56
oversized_source_files	1

Key facts

3GitHub stars

9contributors

378commits, last 12 months

15days since last push

27releases

1bus factor

9open 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 ★ / 3 ⇿

0Stars

3Forks

15Releases

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.

Major 0Minor 5Patch 8

OpenSSF Scorecard 3.5 / 10

3.5aggregate

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 · 2026-09-20 06:33 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
10	CI-Tests	5 out of 5 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
0	Code-Review	Found 0/13 approved changesets -- score normalized to 0
6	Contributors	project has 2 contributing companies or organizations -- score normalized to 6
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
4	Maintained	5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
n/a	Packaging	packaging workflow not detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	SAST tool is not run on all commits -- score normalized to 0
0	Security-Policy	security policy file not detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
7	Vulnerabilities	3 existing vulnerabilities detected

Direct dependencies 21

Registry	Package	Version constraint	Manifest
PyPI	requests	`>=2.32.3`	pyproject.toml
PyPI	typer	`>=0.9.0`	pyproject.toml
PyPI	rich	`>=13.9.5`	pyproject.toml
PyPI	questionary	`>=1.11.0`	pyproject.toml
PyPI	polars	`>=0.20.0`	pyproject.toml
PyPI	tomli	`>=2.0.0`	pyproject.toml
PyPI	boto3	`>=1.33.0`	pyproject.toml
PyPI	botocore	`>=1.33.0`	pyproject.toml
PyPI	pyarrow	`>=14.0.1`	pyproject.toml
PyPI	typedload	`>=2.39`	pyproject.toml
PyPI	httpx	`>=0.28.1`	pyproject.toml
PyPI	aiofiles	`>=25.1.0`	pyproject.toml
PyPI	types-aioboto3	`>=15.5.0`	pyproject.toml
PyPI	aioboto3	`>=15.5.0`	pyproject.toml
PyPI	xmltodict	`>=1.0.2`	pyproject.toml
PyPI	useful-types	`>=0.2.1`	pyproject.toml
PyPI	tenacity	`>=9.1.2`	pyproject.toml
PyPI	async-timer	`>=1.1.6`	pyproject.toml
PyPI	psutil	`>=7.2.1`	pyproject.toml
PyPI	cloudpathlib	`>=0.23.0`	pyproject.toml
PyPI	prek	`>=0.3.2`	pyproject.toml

All dependencies 127

Full resolved dependency set from the GitHub dependency graph: 21 direct and 106 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	aioboto3	`15.5.0`	direct
PyPI	aiofiles	`25.1.0`	direct
PyPI	async-timer	`1.3.2`	direct
PyPI	boto3	`1.40.61`	direct
PyPI	botocore	`1.40.61`	direct
PyPI	cloudpathlib	`0.24.0`	direct
PyPI	httpx	`0.28.1`	direct
PyPI	polars	`1.43.1`	direct
PyPI	prek	`0.4.11`	direct
PyPI	psutil	`7.2.2`	direct
PyPI	pyarrow	`25.0.0`	direct
PyPI	questionary	`2.1.1`	direct
PyPI	requests	`2.34.2`	direct
PyPI	rich	`15.0.0`	direct
PyPI	tenacity	`9.1.4`	direct
PyPI	tomli	`2.4.1`	direct
PyPI	typedload	`2.41`	direct
PyPI	typer	`0.27.0`	direct
PyPI	types-aioboto3	`15.5.0`	direct
PyPI	useful-types	`0.2.1`	direct
PyPI	xmltodict	`1.0.4`	direct
PyPI	aiobotocore	`2.25.1`	indirect
PyPI	aiohappyeyeballs	`2.7.1`	indirect
PyPI	aiohttp	`3.14.3`	indirect
PyPI	aioitertools	`0.13.0`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	anyio	`4.14.2`	indirect
PyPI	ast-serialize	`0.6.0`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	awscli	`1.42.61`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backrefs	`8.0`	indirect
PyPI	botocore-stubs	`1.43.14`	indirect
PyPI	buildstock-fetch	`1.6.7`	indirect
PyPI	cachetools	`7.1.6`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	charset-normalizer	`3.4.9`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	deptry	`0.25.1`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	docutils	`0.19`	indirect
PyPI	filelock	`3.32.0`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	griffelib	`2.1.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	idna	`3.18`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jmespath	`1.1.0`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	librt	`0.13.0`	indirect
PyPI	markdown	`3.10.2`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.4`	indirect
PyPI	mkdocs-get-deps	`0.2.2`	indirect
PyPI	mkdocs-material	`9.7.7`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocstrings	`1.0.6`	indirect
PyPI	mkdocstrings-python	`2.0.5`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	mypy	`2.3.0`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	narwhals	`2.24.0`	indirect
PyPI	numpy	`2.5.1`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pandas-stubs	`3.0.3.260530`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	platformdirs	`4.11.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	polars-runtime-32	`1.43.1`	indirect
PyPI	prompt-toolkit	`3.0.53`	indirect
PyPI	propcache	`0.5.2`	indirect
PyPI	pyasn1	`0.6.4`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pymdown-extensions	`11.0.1`	indirect
PyPI	pyproject-api	`1.11.0`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-asyncio	`1.4.0`	indirect
PyPI	pytest-recording	`0.13.4`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.5.0`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	requirements-parser	`0.13.1`	indirect
PyPI	rsa	`4.7.2`	indirect
PyPI	ruff	`0.16.0`	indirect
PyPI	s3transfer	`0.14.0`	indirect
PyPI	scikit-learn	`1.9.0`	indirect
PyPI	scipy	`1.18.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tomli-w	`1.2.0`	indirect
PyPI	tox	`4.58.0`	indirect
PyPI	tox-uv	`1.36.0`	indirect
PyPI	tox-uv-bare	`1.36.0`	indirect
PyPI	types-aiobotocore	`3.8.0`	indirect
PyPI	types-aiobotocore-cloudformation	`2.25.2`	indirect
PyPI	types-aiobotocore-dynamodb	`2.25.2`	indirect
PyPI	types-aiobotocore-ec2	`2.25.2`	indirect
PyPI	types-aiobotocore-lambda	`2.25.2`	indirect
PyPI	types-aiobotocore-rds	`2.25.2`	indirect
PyPI	types-aiobotocore-s3	`2.25.2`	indirect
PyPI	types-aiobotocore-sqs	`2.25.2`	indirect
PyPI	types-aiofiles	`25.1.0.20260518`	indirect
PyPI	types-awscrt	`0.34.1`	indirect
PyPI	types-boto3	`1.43.57`	indirect
PyPI	types-requests	`2.33.0.20260712`	indirect
PyPI	types-s3transfer	`0.16.0`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uv	`0.11.33`	indirect
PyPI	vcrpy	`8.3.0`	indirect
PyPI	virtualenv	`21.7.0`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wcwidth	`0.8.2`	indirect
PyPI	wrapt	`1.17.3`	indirect
PyPI	yarl	`1.24.5`	indirect

Dependency advisories 0

Installing pypi:buildstock-fetch@1.6.7 pulls in 62 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.

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.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

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