Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 18:10 UTC

openemr / openemr-on-eks

Democratizing healthcare technology by making enterprise-grade OpenEMR deployments accessible to organizations of any size through automated, cloud-native infrastructure.

Shell · PythonMIT-0★ 8 stars⑂ 3 forkssince Jul 2025View on GitHub ↗
KindCommand-line toolMCP serverNetwork servicehow this is determined

openemr/openemr-on-eks holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Vitality (86/100) and lowest on Community & Adoption (32/100). It was last updated 17 days ago. A single contributor accounts for most of its recent work.

77
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.

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

Ownership

OpenEMROrganization · verified domain
531 followers40 public repossince May 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIwarppoints to another repo — not scored1.0.418,10771635 days ago

Metrics by category

Vitality

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

86Excellent · 21% of overall
How it's scored
28.8/36Push recencylast push 17 days ago
18.7/36Commit cadence27/52 weeks with commits
18/18Commit volume182 commits in the last year
10/10OpenSSF Scorecard: Maintained19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year182
human_commit_share0.48
days_since_last_push17
active_weeks_last_year27

Release discipline

100Exceptional
How it's scored
27/27Ships releases93 releases published
36/36Release recencylatest release 17 days ago
27/27Release cadencea release every ~13.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count93
latest_release_tagv7.2.0
releases_from_tagsno
days_since_latest_release17
mean_days_between_releases13.3
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?

32At Risk · 17% of overall
How it's scored
13.7/60Stars8 stars
2.5/25Forks3 forks
0/15Watchers1 watchers
Inputs used
forks3
stars8
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT-0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges32
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

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

59Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.2/22.5Commit distributiontop contributor authored 99% of commits
2.7/13.5Contributor breadth2 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.991
How it's scored
42/42Issue resolution100% of issues closed
29/30PR acceptance84/87 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs84
open_issues0
closed_issues20
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio1
closed_unmerged_prs3
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.
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
19.6/25Owner reach531 followers of openemr
23.7/25Track record40 public repos, account ~16 yr old
Inputs used
followers531
owner_typeOrganization
is_verifiedyes
owner_loginopenemr
public_repos40
account_age_days5,965

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
16/16Linter config.flake8, scripts/openemr_dr/pyproject.toml ([tool.ruff]), tools/codebase-mcp/pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests13 out of 13 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
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics20 topics
0/10Wiki
Inputs used
topicsalb, alertmanager, aws, cloudwatch, efs, eks, grafana, grafana-datasource, karpenter, kms, kubernetes-deployment, loki, metrics-server, openemr, prometheus, rds, s3, valkey, mimir, otelepbf
has_wikino
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests13 out of 13 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
0/7.5Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
2.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
5/5SASTSAST tool is run on all commits
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.8
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages117
unassessed_packages6
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 117 resolved dependencies against OSV. 6 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

61Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://docs.aws.amazon.com/llms.txt)
40/40Legible commit history44 of 48 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.aws.amazon.com/llms.txt
legible_history_share0.917
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapconsole/Makefile, warp/Makefile
22/22Automated tests
11/11Lint / format config.flake8, scripts/openemr_dr/pyproject.toml ([tool.ruff]), tools/codebase-mcp/pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environmentDockerfile, lockfile
10/10Demonstrated agent practice5 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance7 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfilesgo.sum, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesconsole/Makefile, warp/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.05
toolchain_manifestsconsole/go.mod
dependency_bot_commit_share0.07
How it's scored
0/45Type-checkable codeShell without a type-check config
55/55Manageable file sizes0/134 source files over 60KB
Inputs used
primary_languageShell
largest_source_bytes40,915
source_files_sampled134
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs
has_mcp_signalyes
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

8GitHub stars
2contributors
182commits, last 12 months
17days since last push
93releases
1bus factor
0open issues
Go, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'warp' points at a different repository (https://github.com/woop/warp); excluded from ecosystem scoring
  • Could not fetch go package 'github.com/openemr-on-eks/console' from its registry
  • Could not fetch pypi package 'openemr-dr' from its registry
  • Could not fetch pypi package 'openemr-eks-mcp' from its registry

More detail

Star and fork history 0 ★ / 3 ⇿
0Stars
3Forks
54Releases

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.

12233312025-092025-122026-02
Major 3Minor 18Patch 33
OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-09-19 18:08 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
Gocharm.land/bubbletea/v2v2.0.9console/go.mod
Gocharm.land/lipgloss/v2v2.0.6console/go.mod
PyPIfastmcp==4.0.1tools/codebase-mcp/pyproject.toml
PyPIPyYAML==6.0.3tools/codebase-mcp/pyproject.toml
All dependencies 123

Full resolved dependency set from the GitHub dependency graph: 4 direct and 119 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
Gocharm.land/bubbletea/v2v2.0.9direct
Gocharm.land/lipgloss/v2v2.0.6direct
PyPIfastmcp4.0.1direct
PyPIpyyaml6.0.3direct
Gogithub.com/charmbracelet/colorprofilev0.4.3indirect
Gogithub.com/charmbracelet/ultravioletv0.0.0-20260811164956-006e29f97886indirect
Gogithub.com/charmbracelet/x/ansiv0.11.8indirect
Gogithub.com/charmbracelet/x/termv0.2.2indirect
Gogithub.com/charmbracelet/x/termiosv0.1.1indirect
Gogithub.com/charmbracelet/x/windowsv0.2.2indirect
Gogithub.com/clipperhouse/displaywidthv0.11.0indirect
Gogithub.com/clipperhouse/uax29/v2v2.7.0indirect
Gogithub.com/lucasb-eyer/go-colorfulv1.4.1indirect
Gogithub.com/mattn/go-runewidthv0.0.24indirect
Gogithub.com/muesli/cancelreaderv0.2.2indirect
Gogithub.com/rivo/unisegv0.4.7indirect
Gogithub.com/xo/terminfov0.0.0-20220910002029-abceb7e1c41eindirect
Gogolang.org/x/syncv0.22.0indirect
Gogolang.org/x/sysv0.47.0indirect
PyPIaiofile3.12.3indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.14.2indirect
PyPIast-serialize0.8.0indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.8.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbanditindirect
PyPIbandit1.9.4indirect
PyPIbeartype0.22.9indirect
PyPIblack26.5.1indirect
PyPIboto31.43.86indirect
PyPIbuild1.6.0indirect
PyPIcachetools7.1.8indirect
PyPIcaio0.12.2indirect
PyPIcffi2.1.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.0indirect
PyPIcryptography50.0.1indirect
PyPIcyclopts4.23.3indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastmcp-slim4.0.1indirect
PyPIflake87.3.0indirect
PyPIgriffelib2.2.0indirect
PyPIh110.16.0indirect
PyPIhttpcore22.12.0indirect
PyPIhttpx22.12.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidna3.19indirect
PyPIimportlib-metadata9.0.1indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjoserfc1.7.5indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIkubernetes36.0.3indirect
PyPIlibrt0.15.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImcp2.1.1indirect
PyPImcp-types2.1.1indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImypyindirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopenemr-eks-mcp0.1.0indirect
PyPIopentelemetry-api1.44.0indirect
PyPIpackaging26.3indirect
PyPIpathable0.6.0indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.11.7indirect
PyPIpluggy1.6.0indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.5indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-settings2.15.0indirect
PyPIpygments2.21.0indirect
PyPIpyjwt2.13.0indirect
PyPIpymysql1.2.0indirect
PyPIpyperclip1.11.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytestindirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-covindirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.1.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruffindirect
PyPIruff0.16.5indirect
PyPIsecretstorage3.5.0indirect
PyPIsse-starlette3.4.8indirect
PyPIstarlette1.6.0indirect
PyPIstevedore5.9.1indirect
PyPItomli2.4.1indirect
PyPItruststore0.10.4indirect
PyPItypes-pyyaml6.0.12.20260815indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIuncalled-for0.4.0indirect
PyPIurllib3indirect
PyPIuvicorn0.52.4indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets17.1indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 117 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 6 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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 statisticsPyPI.