Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 03:58 UTC

call518 / Solar-RS485-Monitor

Python RS485 solar inverter monitor with configurable protocol parsing, JSON output, multi-sink logging (SQLite, ThingSpeak, MariaDB, OpenSearch, Google Sheets), and a Streamlit dashboard.

PythonMIT★ 0 stars⑂ 0 forkssince Jun 2026View on GitHub ↗
KindLibraryhow this is determined
#elasticsearch#energy-monitoring#google-sheets#mariadb#opensearch#photovoltaic#pv#rs485#serial#solar-inverter#solar-monitoring#sqlite#streamlit#telemetry#thingspeak#rems#iepvs#inoelectric

call518/Solar-RS485-Monitor holds a health index of 57 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (68/100) and lowest on Community & Adoption (24/100). It was last updated today. A single contributor accounts for most of its recent work.

57
overall / 100
Moderate

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.

57
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 55 is calibrated to 57 on the published index scale (record calibration 2026-08-02).

Ownership

JungJungInPersonal account
18 followers67 public repossince Aug 2011

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsolar-rs485-monitor1.0.4-1030 days agosolarinverterrs485serialmonitoring

Metrics by category

Vitality

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

67Good · 21% of overall

Development activity

56Moderate
How it's scored
36/36Push recency — last push 0 days ago
2.1/36Commit cadence — 3/52 weeks with commits
18/18Commit volume — 152 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year152
human_commit_share—
days_since_last_push0
active_weeks_last_year3

Release discipline

84Excellent
How it's scored
27/27Ships releases — 1 releases published
36/36Release recency — latest release 2 days ago
12.6/27Release cadence — cadence unknown (single release)
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count1
latest_release_tag1.0.0
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases—
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?

24At Risk · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
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 (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
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?

55Moderate · 23% of overall

Maintainer resilience (bus factor)

14Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.9/22.5Commit distribution — top contributor authored 92% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.916

Issue & PR responsiveness

67Good
How it's scored
0/42Issue resolution — no issues or no data
30/30PR acceptance — 13/13 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/16 approved changesets -- score normalized to 0
Inputs used
merged_prs13
open_issues0
closed_issues0
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio—
closed_unmerged_prs0
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

55Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
9.2/25Owner reach — 18 followers of call518
25/25Track record — 67 public repos, account ~14 yr old
Inputs used
followers18
owner_typeUser
is_verified—
owner_logincall518
public_repos67
account_age_days5,453
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 103 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessolar-rs485-monitor
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

68Good · 19% of overall

Engineering practices

74Good
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 9 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 18 topics
10/10Wiki
Inputs used
topicselasticsearch, energy-monitoring, google-sheets, mariadb, opensearch, photovoltaic, pv, rs485, serial, solar-inverter, solar-monitoring, sqlite, streamlit, telemetry, thingspeak, rems, iepvs, inoelectric
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

56Moderate · 16% of overall

Security posture

56Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — 0 out of 9 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/16 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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.

60Moderate · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — .github/copilot-instructions.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes2,665
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

53Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

49Weak
How it's scored
0/45Type-checkable code — Python without a type-check config
49.2/55Manageable file sizes — 2/19 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes127,632
source_files_sampled19
oversized_source_files2

Key facts

0GitHub stars
2contributors
152commits, last 12 months
0days since last push
1releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-07-18 03:58 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests0 out of 9 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/16 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
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIgoogle-auth>=2.0pyproject.toml
PyPIgspread>=6.0pyproject.toml
PyPIpandas>=2.0pyproject.toml
PyPIpsycopg>=3.2pyproject.toml
PyPIPyMySQL>=1.1pyproject.toml
PyPIpyserial>=3.5pyproject.toml
PyPIpython-dotenv>=1.0pyproject.toml
PyPIpre-commit>=4.6.0pyproject.toml
PyPIstreamlit>=1.37pyproject.toml
PyPIstreamlit-echarts>=0.4.0pyproject.toml
All dependencies 113

Full resolved dependency set from the GitHub dependency graph: 13 direct and 100 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIgoogle-auth2.55.1direct
PyPIgoogle-auth2.55.2direct
PyPIgspread6.2.1direct
PyPIpandas2.3.3direct
PyPIpandas3.0.3direct
PyPIpre-commit4.6.0direct
PyPIpsycopg3.3.4direct
PyPIpymysql1.2.0direct
PyPIpyserial3.5direct
PyPIpython-dotenv1.2.2direct
PyPIstreamlit1.58.0direct
PyPIstreamlit1.59.1direct
PyPIstreamlit-echarts0.7.0direct
PyPIaltair6.2.2indirect
PyPIanyio4.14.1indirect
PyPIattrs26.1.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIblinker1.9.0indirect
PyPIbuild1.5.0indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.0.0indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcryptography49.0.0indirect
PyPIdistlib0.4.3indirect
PyPIdocutils0.23indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.29.5indirect
PyPIfilelock3.29.7indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.50indirect
PyPIgoogle-auth-oauthlib1.4.0indirect
PyPIh110.16.0indirect
PyPIhttptools0.8.0indirect
PyPIid1.6.1indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIimportlib-metadata9.0.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.5.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
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PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
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PyPInarwhals2.23.0indirect
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PyPIpillow12.3.0indirect
PyPIplatformdirs4.10.0indirect
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PyPIpsycopg-binary3.3.4indirect
PyPIpyarrow24.0.0indirect
PyPIpyarrow25.0.0indirect
PyPIpyasn10.6.3indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydeck0.9.3indirect
PyPIpygments2.20.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.3indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-multipart0.0.32indirect
PyPIpytz2026.2indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer45.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools—indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIstarlette1.3.1indirect
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PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItwine6.2.0indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.2indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.50.0indirect
PyPIuvicorn0.51.0indirect
PyPIvirtualenv21.5.1indirect
PyPIvirtualenv21.6.1indirect
PyPIwatchdog6.0.0indirect
PyPIwebsockets16.0indirect
PyPIwebsockets16.1indirect
PyPIzipp4.1.0indirect
Raw JSON report machine-readable

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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 v0.12.0 — full methodology · metrics wiki.

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