Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-07 16:21 UTC

Query-farm / vgi-rpc-python

Transport-agnostic RPC framework built on Apache Arrow IPC serialization. Define RPC interfaces as Python Protocol classes with automatic schema derivation, typed client proxies, and streaming support.

PythonApache-2.0★ 15 stars⑂ 1 forksince Feb 2026View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#apache-arrow#arrow-ipc#ipc#protocol#python#rpc#rpc-framework#serialization#streaming#type-safe

Query-farm/vgi-rpc-python holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Vitality (93/100) and lowest on Community & Adoption (47/100). It was last updated today. A single contributor accounts for most of its recent work.

84
overall / 100
Excellent

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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Query.FarmOrganization
121 followers240 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
PyPIvgi-rpc0.50.03,5481190 days agoarrowipcrpcserializationstreaming

Metrics by category

Vitality

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

93Exceptional · 21% of overall

Development activity

88Excellent
How it's scored
36/36Push recency — last push 0 days ago
24.2/36Commit cadence — 35/52 weeks with commits
18/18Commit volume — 664 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year664
human_commit_share0.98
days_since_last_push0
active_weeks_last_year35

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~2.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.50.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases2.3
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?

47Weak · 17% of overall

Popularity & adoption

19Critical
How it's scored
18.6/60Stars — 15 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars15
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

59Moderate
How it's scored
47.3/80Monthly downloads — 3,548 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesvgi-rpc
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,548
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?

55Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

63Moderate
How it's scored
42/42Issue resolution — 100% of issues closed
12.8/30PR acceptance — 26/61 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/28 approved changesets -- score normalized to 0
Inputs used
merged_prs26
open_issues0
closed_issues1
prs_merged_7d1
prs_decided_7d1
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio1
closed_unmerged_prs35
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

62Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15/25Owner reach — 121 followers of Query-farm
17/25Track record — 240 public repos, account ~2 yr old
Inputs used
followers121
owner_typeOrganization
is_verifiedno
owner_loginQuery-farm
public_repos240
account_age_days736

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 — 119 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesvgi-rpc
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://vgi-rpc-python.query.farm/
10/10Repository description
10/10Topics — 10 topics
0/10Wiki
Inputs used
topicsapache-arrow, arrow-ipc, ipc, protocol, python, rpc, rpc-framework, serialization, streaming, type-safe
has_wikino
homepagehttps://vgi-rpc-python.query.farm/
docs_sitehttps://vgi-rpc-python.query.farm/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall

Security posture

63Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/28 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
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
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.3
Excluded from scoring (no data or not applicable): 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_packages2
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:vgi-rpc@0.50.0 runtime dependency closure — what installing the published package pulls in — 2 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.

88Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — CLAUDE.md, tools/cross-port/CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 91 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.929
agent_instruction_filesCLAUDE.md, tools/cross-port/CLAUDE.md
agent_instruction_max_bytes26,238

Verify loop (build / test / typecheck)

90Excellent
How it's scored
18/18One-command bootstrap — tools/cross-port/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — vgi_rpc/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 70 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filestools/cross-port/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsvgi_rpc/py.typed
agent_commit_share0.7
toolchain_manifests—
dependency_bot_commit_share0.02

Code legibility for models

79Good
How it's scored
27/45Type-checkable code — Python with type-check config (vgi_rpc/py.typed)
52.1/55Manageable file sizes — 13/249 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes214,723
source_files_sampled249
oversized_source_files13

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
Inputs used
example_dirsexamples
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

15GitHub stars
1contributors
664commits, last 12 months
0days since last push
100releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 6.3 / 10
6.3aggregate

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 · 2026-10-07 16:21 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
0Code-ReviewFound 0/28 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
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
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIpyarrow>=14.0pyproject.toml
PyPIdocstring-parser>=0.16pyproject.toml
PyPItzdata>=2024.1pyproject.toml
PyPIpywin32>=306pyproject.toml
All dependencies 147

Full resolved dependency set from the GitHub dependency graph: 4 direct and 143 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdocstring-parser0.18.0direct
PyPIpyarrow25.0.1direct
PyPIpywin32312direct
PyPItzdata2026.4direct
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiointercept0.1.12indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.14.2indirect
PyPIast-serialize0.12.1indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-zstd1.7.0indirect
PyPIbackrefs8.0indirect
PyPIblack26.5.1indirect
PyPIboto31.43.108indirect
PyPIbotocore1.43.108indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.3indirect
PyPIcryptography50.0.2indirect
PyPIexecnet2.1.2indirect
PyPIfalcon4.4.0indirect
PyPIfilelock4.0.12indirect
PyPIfrozenlist1.8.0indirect
PyPIghp-import2.1.0indirect
PyPIgoogle-api-core2.33.0indirect
PyPIgoogle-auth2.56.2indirect
PyPIgoogle-cloud-core2.6.0indirect
PyPIgoogle-cloud-storage3.16.0indirect
PyPIgoogle-crc32c1.8.0indirect
PyPIgoogle-resumable-media2.10.0indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.13.1indirect
PyPIhttpx0.28.1indirect
PyPIhttpx22.13.1indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIhypothesis6.168.4indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIiroh1.1.0indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.1.0indirect
PyPIjoserfc1.7.5indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlibcst1.9.0indirect
PyPIlibrt0.16.0indirect
PyPIlinkify-it-py2.1.0indirect
PyPIlxml6.1.3indirect
PyPImarkdown3.10.3indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-d2-plugin1.7.0indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-section-index0.3.12indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python2.0.5indirect
PyPImoto5.2.2indirect
PyPImsgpack1.2.3indirect
PyPImultidict6.7.1indirect
PyPImutmut3.8.0indirect
PyPImypy2.4.0indirect
PyPImypy-extensions1.1.0indirect
PyPIopentelemetry-api1.45.0indirect
PyPIopentelemetry-sdk1.45.0indirect
PyPIopentelemetry-semantic-conventions0.66b0indirect
PyPIpackaging26.3indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.11.0indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.5.2indirect
PyPIproperdocs1.6.7indirect
PyPIproto-plus1.28.2indirect
PyPIprotobuf7.35.1indirect
PyPIpsutil7.2.2indirect
PyPIpy-cpuinfo210.1.1indirect
PyPIpy-partiql-parser0.6.3indirect
PyPIpyarrow-stubs20.0.0.20260819indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpycryptodome3.23.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.21.0indirect
PyPIpymdown-extensions12.1indirect
PyPIpynacl1.6.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-benchmark5.3.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-examples0.0.18indirect
PyPIpytest-mypy1.0.1indirect
PyPIpytest-ruff0.5indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytokens0.4.1indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIpyyaml-ft8.0.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIresponses0.26.2indirect
PyPIrich15.0.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.16.10indirect
PyPIs3transfer0.19.2indirect
PyPIsentry-sdk2.71.0indirect
PyPIsetproctitle1.3.7indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPItenacity9.1.4indirect
PyPItextual8.2.8indirect
PyPItruststore0.10.4indirect
PyPIty0.0.84indirect
PyPItyper0.27.2indirect
PyPItypes-jsonschema4.26.0.20260518indirect
PyPItypes-psutil7.2.2.20260906indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuc-micro-py2.0.0indirect
PyPIurllib32.8.0indirect
PyPIvgi-rpc0.50.1indirect
PyPIwaitress3.0.2indirect
PyPIwatchdog6.0.0indirect
PyPIwerkzeug3.1.8indirect
PyPIxmltodict1.0.4indirect
PyPIyarl1.24.5indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:vgi-rpc@0.50.0 pulls in 2 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.

The message is kept through sign-in.

Related records

Inspected repositories sharing catalogue tags or ecosystems with Query-farm/vgi-rpc-python. Read them side by side →

98apache/foryA blazingly fast multi-language serialization framework for idiomatic domain objects, schema IDL, and cross-language data exchange.Exceptional97lance-format/lanceOpen Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..Exceptional99apache/datafusionApache DataFusion SQL Query EngineExceptional99NVIDIA/cudfcuDF - GPU DataFrame Library Exceptional98pola-rs/polarsExtremely fast Query Engine for DataFrames, written in RustExceptional98neo4j/neo4j-python-driverNeo4j Bolt driver for PythonExceptional

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.