Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 21:08 UTC

dbcli / pgcli

Postgres CLI with autocompletion and syntax highlighting

PythonBSD-3-Clause★ 13,348 stars⑂ 601 forkssince Oct 2014View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

dbcli/pgcli holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (90/100) and lowest on AI Readiness (48/100). It was last updated 9 days ago. 2 contributors account for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

dbcliOrganization
363 followers19 public repossince Apr 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpgcli4.5.0666,3995370 days ago

Metrics by category

Vitality

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

67Good · 21% of overall
How it's scored
28.8/36Push recencylast push 9 days ago
10.4/36Commit cadence15/52 weeks with commits
14.6/18Commit volume41 commits in the last year
10/10OpenSSF Scorecard: Maintained14 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year41
human_commit_share1
days_since_last_push9
active_weeks_last_year15
How it's scored
16.2/27Ships releases91 version tags (no GitHub releases)
36/36Release recencylatest release 70 days ago
12.6/27Release cadencea release every ~173.6 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count91
latest_release_tagv4.5.0
releases_from_tagsyes
days_since_latest_release70
mean_days_between_releases173.6
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?

90Excellent · 17% of overall
How it's scored
60/60Stars13,348 stars
23.2/25Forks601 forks
11.9/15Watchers138 watchers
Inputs used
forks601
stars13,348
watchers138
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_services
has_pull_request_templateyes

Sustainability & Governance

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

84Excellent · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
14.7/22.5Commit distributiontop contributor authored 35% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 20 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled100
top_contributor_share0.346
How it's scored
40.5/42Issue resolution96% of issues closed
26.4/30PR acceptance734/834 decided PRs merged
13/13Newcomer PR acceptance6/6 first-time contributors' PRs merged in 30d
12/15OpenSSF Scorecard: Code-ReviewFound 25/30 approved changesets -- score normalized to 8
Inputs used
merged_prs734
open_issues26
closed_issues716
prs_merged_7d0
prs_decided_7d0
prs_merged_30d8
prs_decided_30d8
issue_closed_ratio0.965
closed_unmerged_prs100
first_time_authors_30d5
first_time_prs_merged_30d6
first_time_prs_decided_30d6
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
18.4/25Owner reach363 followers of dbcli
21.5/25Track record19 public repos, account ~11 yr old
Inputs used
followers363
owner_typeOrganization
is_verified
owner_logindbcli
public_repos19
account_age_days4,146
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 70 days ago
20/20Version history53 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespgcli
ecosystemspypi
any_deprecatedno
min_days_since_publish70

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter configtox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests26 out of 29 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttp://pgcli.com
10/10Repository description
10/10Topics5 topics
10/10Wiki
Inputs used
topicspython, postgresql, postgres, psql, database
has_wikiyes
homepagehttp://pgcli.com
docs_sitehttp://pgcli.com
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
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2/2.5CI-Tests26 out of 29 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6/7.5Code-ReviewFound 25/30 approved changesets -- score normalized to 8
2.5/2.5Contributorsproject has 20 contributing companies or organizations
0/10Dangerous-Workflowdangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained14 commit(s) and 16 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
4.5/5SASTSAST tool detected but not 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_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5
Excluded from scoring (no data or not applicable): Branch-Protection, 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_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:pgcli@4.5.0 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.

48Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history77 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.77
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
10/10Reproducible environmentDockerfile
4/10Demonstrated agent practice2 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
5/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.02
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
54.2/55Manageable file sizes1/72 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes75,760
source_files_sampled72
oversized_source_files1

Key facts

13,348GitHub stars
100contributors
41commits, last 12 months
9days since last push
91releases
2bus factor
26open 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 ★ / 601 ⇿
0Stars
601Forks
91Releases

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.

0100200300400500600594312014-122020-102026-08
Major 5Minor 39Patch 47

Each point covers 11 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 · 2026-08-12 21:07 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
8CI-Tests26 out of 29 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 25/30 approved changesets -- score normalized to 8
10Contributorsproject has 20 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained14 commit(s) and 16 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
9SASTSAST tool detected but not 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 11
RegistryPackageVersion constraintManifest
PyPIpgspecial>=2.0.0pyproject.toml
PyPIclick>= 4.1, != 8.1.8, != 8.2.*, != 8.3.0, < 9pyproject.toml
PyPIPygments>=2.0pyproject.toml
PyPIprompt_toolkit>=2.0.6,<4.0.0pyproject.toml
PyPIpsycopg>= 3.0.14pyproject.toml
PyPIpsycopg-binary>= 3.0.14pyproject.toml
PyPIsqlparse>=0.3.0,<0.6pyproject.toml
PyPIconfigobj>= 5.0.6pyproject.toml
PyPIcli_helpers>= 2.4.0pyproject.toml
PyPIsetproctitle>= 1.1.9pyproject.toml
PyPItzlocal>= 5.2pyproject.toml
All dependencies 24

Full resolved dependency set from the GitHub dependency graph: 11 direct and 13 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcli-helpersdirect
PyPIclickdirect
PyPIconfigobjdirect
PyPIpgspecialdirect
PyPIprompt-toolkitdirect
PyPIpsycopgdirect
PyPIpsycopg-binarydirect
PyPIpygmentsdirect
PyPIsetproctitledirect
PyPIsqlparsedirect
PyPItzlocaldirect
PyPIbehaveindirect
PyPIcoverageindirect
PyPIdocutilsindirect
PyPIkeyringindirect
PyPIkeyrings-altindirect
PyPIpexpectindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIruffindirect
PyPIsetuptoolsindirect
PyPIsetuptools-scmindirect
PyPIsshtunnelindirect
PyPItoxindirect
Dependency advisories 0

Installing pypi:pgcli@4.5.0 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

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.