Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-20 07:11 UTC

gridstatus / gridstatusio

Python client for accessing the GridStatus.io Hosted API.

PythonBSD-3-Clause★ 53 stars⑂ 5 forkssince Mar 2023View on GitHub ↗

gridstatus/gridstatusio holds a health index of 67 out of 100, placing it in the Good band. It scores highest on AI Readiness (78/100) and lowest on Community & Adoption (43/100). It was last updated 52 days ago. 2 contributors account for most of its recent work.

67
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.

67
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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

gridstatusOrganization
34 followers3 public repossince Aug 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgridstatusiopoints to another repo — not scored0.16.054,7973574 days agoenergyindependent-system-operator

Metrics by category

Vitality

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

62Moderate · 21% of overall

Development activity

42Weak
How it's scored
18/36Push recency — last push 52 days ago
9/36Commit cadence — 13/52 weeks with commits
11.5/18Commit volume — 18 commits in the last year
3/10OpenSSF Scorecard: Maintained — 4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
Inputs used
commits_last_year18
human_commit_share0.98
days_since_last_push52
active_weeks_last_year13

Release discipline

92Excellent
How it's scored
27/27Ships releases — 36 releases published
36/36Release recency — latest release 74 days ago
19.8/27Release cadence — a release every ~59 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count36
latest_release_tagv0.16.0
releases_from_tagsno
days_since_latest_release74
mean_days_between_releases59
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

Popularity & adoption

36Weak
How it's scored
27.8/60Stars — 53 stars
5/25Forks — 5 forks
2.7/15Watchers — 4 watchers
Inputs used
forks5
stars53
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, github.com
has_pull_request_templateno

Sustainability & Governance

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

60Moderate · 23% of overall

Maintainer resilience (bus factor)

56Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.9/22.5Commit distribution — top contributor authored 43% of commits
8.1/13.5Contributor breadth — 6 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor2
contributors_sampled6
top_contributor_share0.427

Issue & PR responsiveness

70Good
How it's scored
24.5/42Issue resolution — 58% of issues closed
25.9/30PR acceptance — 88/102 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
10.5/15OpenSSF Scorecard: Code-Review — Found 23/29 approved changesets -- score normalized to 7
Inputs used
merged_prs88
open_issues5
closed_issues7
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.583
closed_unmerged_prs14
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.

Ownership & stewardship

54Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
11.1/25Owner reach — 34 followers of gridstatus
12.6/25Track record — 3 public repos, account ~4 yr old
Inputs used
followers34
owner_typeOrganization
is_verifiedno
owner_logingridstatus
public_repos3
account_age_days1,498

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

86Excellent
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
12/20OpenSSF Scorecard: CI-Tests — 18 out of 30 merged PRs checked by a CI test -- score normalized to 6
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

55Moderate
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://www.gridstatus.io
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://www.gridstatus.io
docs_sitehttps://www.gridstatus.io
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

60Moderate · 16% of overall

Security posture

50Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
1.5/2.5CI-Tests — 18 out of 30 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-Review — Found 23/29 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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
2.2/7.5Maintained — 4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
0.5/5SAST — SAST tool is not run on all commits -- score normalized to 1
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 55 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5
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
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_packages12
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:gridstatusio@0.16.0 runtime dependency closure — what installing the published package pulls in — 12 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.

78Good · 4% of overall

Agent context & guidance

47Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://www.gridstatus.io/llms.txt)
31.6/40Legible commit history — 58 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://www.gridstatus.io/llms.txt
legible_history_share0.592
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

91Excellent
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — gridstatusio/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 9 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsgridstatusio/py.typed
agent_commit_share0.09
toolchain_manifests—
dependency_bot_commit_share0.02

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (gridstatusio/py.typed)
55/55Manageable file sizes — 0/12 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes50,610
source_files_sampled12
oversized_source_files0

Machine-readable interfaces

100Exceptional
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 — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

53GitHub stars
6contributors
18commits, last 12 months
52days since last push
36releases
2bus factor
5open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'gridstatusio' points at a different repository (https://github.com/kmax12/gridstatusio/); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 5 ⇿
0Stars
5Forks
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.

12345512023-112025-032026-06
Major 0Minor 10Patch 12

Each point covers 3 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 · 2026-09-20 07:10 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
6CI-Tests18 out of 30 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 23/29 approved changesets -- score normalized to 7
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
3Maintained4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
1SASTSAST tool is not run on all commits -- score normalized to 1
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities55 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIrequests>=2.32.2,<3pyproject.toml
PyPItermcolor>=3.2.0pyproject.toml
PyPItabulate>=0.9.0,<0.10pyproject.toml
PyPIpandas>=2.3.0pyproject.toml
PyPIbrotli>=1.1.0pyproject.toml
PyPIbrotlicffi>=1.1.0pyproject.toml
All dependencies 127

Full resolved dependency set from the GitHub dependency graph: 6 direct and 121 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbrotli1.2.0direct
PyPIbrotlicffi1.2.0.1direct
PyPIpandas2.3.3direct
PyPIrequests2.32.5direct
PyPItabulate0.9.0direct
PyPItermcolor3.2.0direct
PyPIanyio4.12.1indirect
PyPIappnope0.1.4indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarrow1.4.0indirect
PyPIasttokens3.0.0indirect
PyPIasync-lru2.0.5indirect
PyPIattrs25.4.0indirect
PyPIbabel2.17.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIbleach6.3.0indirect
PyPIcertifi2024.12.14indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIdebugpy1.8.17indirect
PyPIdecorator5.2.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdistlib0.4.0indirect
PyPIexceptiongroup1.3.0indirect
PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIfilelock3.20.0indirect
PyPIfqdn1.5.1indirect
PyPIgridstatusio0.16.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.15indirect
PyPIidna3.11indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.1.0indirect
PyPIipython8.37.0indirect
PyPIipython9.6.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIisoduration20.11.0indirect
PyPIjedi0.19.2indirect
PyPIjinja23.1.6indirect
PyPIjson50.13.0indirect
PyPIjsonpointer3.0.0indirect
PyPIjsonschema4.25.1indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-builder1.0.2indirect
PyPIjupyter-client8.6.3indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyter-events0.12.0indirect
PyPIjupyter-lsp2.3.0indirect
PyPIjupyter-server2.20.0indirect
PyPIjupyter-server-terminals0.5.3indirect
PyPIjupyterlab4.6.0indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-server2.28.0indirect
PyPIkaleido0.2.1indirect
PyPIlark1.3.1indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.1indirect
PyPImistune3.2.0indirect
PyPInarwhals2.10.1indirect
PyPInbclient0.10.4indirect
PyPInbconvert7.16.6indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio1.6.0indirect
PyPInodeenv1.10.0indirect
PyPInotebook7.6.0indirect
PyPInotebook-shim0.2.4indirect
PyPInumpy1.26.4indirect
PyPIoverrides7.7.0indirect
PyPIpackaging25.0indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.5indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.5.0indirect
PyPIplotly6.8.0indirect
PyPIpluggy1.6.0indirect
PyPIpolars1.36.1indirect
PyPIpolars-runtime-321.36.1indirect
PyPIpre-commit4.5.1indirect
PyPIprometheus-client0.23.1indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.1.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser2.23indirect
PyPIpygments2.19.2indirect
PyPIpyright1.1.407indirect
PyPIpytest9.1.0indirect
PyPIpytest-rerunfailures16.3indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-json-logger4.0.0indirect
PyPIpytz2025.2indirect
PyPIpywinpty3.0.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.5.7indirect
PyPIsend2trash2.0.0indirect
PyPIsix1.17.0indirect
PyPIsoupsieve2.8.1indirect
PyPIstack-data0.6.3indirect
PyPIterminado0.18.1indirect
PyPItinycss21.4.0indirect
PyPItomli2.3.0indirect
PyPItornado6.5.2indirect
PyPItraitlets5.14.3indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.2indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.5.0indirect
PyPIvirtualenv20.35.4indirect
PyPIwcwidth0.2.14indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
Dependency advisories 0

Installing pypi:gridstatusio@0.16.0 pulls in 12 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

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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.