Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-04 21:44 UTC

vmagamedov / grpclib

Pure-Python gRPC implementation for asyncio

PythonBSD-3-Clause★ 984 stars⑂ 100 forkssince Jan 2017View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

vmagamedov/grpclib holds a health index of 56 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (83/100) and lowest on Vitality (28/100). It was last updated 232 days ago. A single contributor accounts for most of its recent work.

56
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.

56
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 54 is calibrated to 56 on the published index scale (record calibration 2026-08-02).

Ownership

Volodymyr MagamedovPersonal account
84 followers23 public repossince Jan 2010

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 publish
PyPIgrpclib0.4.9-57232 days ago

Metrics by category

Vitality

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

28At Risk · 21% of overall
How it's scored
3.6/36Push recencylast push 232 days ago
1.4/36Commit cadence2/52 weeks with commits
8.6/18Commit volume8 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year8
human_commit_share1
days_since_last_push232
active_weeks_last_year2
How it's scored
16.2/27Ships releases21 version tags (no GitHub releases)
16.2/36Release recencylatest release 232 days ago
12.6/27Release cadencea release every ~214.9 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count21
latest_release_tagv0.4.9
releases_from_tagsyes
days_since_latest_release232
mean_days_between_releases214.9
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?

62Moderate · 17% of overall
How it's scored
48.5/60Stars984 stars
16.6/25Forks100 forks
7.8/15Watchers26 watchers
Inputs used
forks100
stars984
watchers26
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges0
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
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.9/22.5Commit distributiontop contributor authored 96% of commits
13.5/13.5Contributor breadth17 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled17
top_contributor_share0.958
How it's scored
32.8/42Issue resolution78% of issues closed
17.8/30PR acceptance22/37 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 4/30 approved changesets -- score normalized to 1
Inputs used
merged_prs22
open_issues37
closed_issues133
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.782
closed_unmerged_prs15
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
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
13.9/25Owner reach84 followers of vmagamedov
22.1/25Track record23 public repos, account ~16 yr old
Inputs used
followers84
owner_typeUser
is_verified
owner_loginvmagamedov
public_repos23
account_age_days6,051
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 232 days ago
20/20Version history57 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesgrpclib
ecosystemspypi
any_deprecatedno
min_days_since_publish232

Engineering Quality

Are baseline engineering and documentation practices in place?

83Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configtox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests3 out of 4 merged PRs checked by a CI test -- score normalized to 7
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 sitehttp://grpclib.readthedocs.io
10/10Repository description
10/10Topics6 topics
0/10Wiki
Inputs used
topicsgrpc, python, asyncio, protobuf, h2, microservices
has_wikino
homepagehttp://grpclib.readthedocs.io
docs_sitehttp://grpclib.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

46Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
1.8/2.5CI-Tests3 out of 4 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 4/30 approved changesets -- score normalized to 1
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
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_aggregate3.2
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
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages4
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:grpclib@0.4.9 runtime dependency closure — what installing the published package pulls in — 4 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.

53Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
3.7/40Legible commit history7 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.07
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, examples/mtls/keys/Makefile
22/22Automated tests
11/11Lint / format configtox.ini
11/11Static type checkinggrpclib/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, examples/mtls/keys/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsgrpclib/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (grpclib/py.typed)
55/55Manageable file sizes0/99 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes36,087
source_files_sampled99
oversized_source_files0
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)examples/helloworld/helloworld.proto, examples/multiproc/primes.proto, examples/streaming/helloworld.proto, grpclib/channelz/v1/channelz.proto, grpclib/health/v1/health.proto, grpclib/reflection/v1/reflection.proto, grpclib/reflection/v1alpha/reflection.proto, tests/dummy.proto
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_filesexamples/helloworld/helloworld.proto, examples/multiproc/primes.proto, examples/streaming/helloworld.proto, grpclib/channelz/v1/channelz.proto, grpclib/health/v1/health.proto, grpclib/reflection/v1/reflection.proto, grpclib/reflection/v1alpha/reflection.proto, tests/dummy.proto
interfaces_expected_of
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

984GitHub stars
17contributors
8commits, last 12 months
232days since last push
21releases
1bus factor
37open 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 ★ / 100 ⇿
0Stars
100Forks
21Releases

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.

0204060801009922017-092021-122026-03
Major 0Minor 4Patch 17

Each point covers 8 days.

OpenSSF Scorecard 3.2 / 10
3.2aggregate

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 · 2026-08-04 21:43 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
7CI-Tests3 out of 4 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/30 approved changesets -- score normalized to 1
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
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 2
RegistryPackageVersion constraintManifest
PyPIh2<5,>=3.1.0setup.cfg
PyPImultidictsetup.cfg
All dependencies 59

Full resolved dependency set from the GitHub dependency graph: 2 direct and 57 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIh24.3.0direct
PyPImultidict6.7.0direct
PyPIalabaster1.0.0indirect
PyPIbabel2.17.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIcertifi2025.11.12indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcoverage7.12.0indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.3indirect
PyPIexceptiongroup1.3.1indirect
PyPIgrpcio1.76.0indirect
PyPIhpack4.1.0indirect
PyPIhyperframe6.1.0indirect
PyPIid1.5.0indirect
PyPIidna3.11indirect
PyPIimagesize1.4.1indirect
PyPIimportlib-metadata8.7.0indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.0.1indirect
PyPIjaraco-functools4.3.0indirect
PyPIjinja23.1.6indirect
PyPIkeyring25.7.0indirect
PyPIlibrt0.7.3indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.8.0indirect
PyPImypy-extensions1.1.0indirect
PyPInh30.3.2indirect
PyPIpackaging25.0indirect
PyPIpathspec0.12.1indirect
PyPIpluggy1.6.0indirect
PyPIprotobuf4.25.8indirect
PyPIpycodestyle2.14.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.19.2indirect
PyPIreadme-renderer44.0indirect
PyPIrequests2.32.5indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich14.2.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.3.0indirect
PyPItypes-protobuf6.32.1.20251210indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.2indirect
PyPIurllib32.5.0indirect
PyPIurllib32.6.2indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:grpclib@0.4.9 pulls in 4 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.

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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.