Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-19 17:06 UTC

logicalclocks / hopsworks-api

Python SDK to interact with the Hopsworks API

Python · JavaApache-2.0★ 15 stars⑂ 31 forkssince Nov 2021View on GitHub ↗
KindCommand-line toolLibraryNetwork servicehow this is determined

logicalclocks/hopsworks-api holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (99/100) and lowest on Security (21/100). It was last updated today. 5 contributors account for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

HopsworksOrganization
150 followers126 public repossince Mar 2017

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

Package ecosystems

Metrics by category

Vitality

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

99Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
33.9/36Commit cadence49/52 weeks with commits
18/18Commit volume283 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year283
human_commit_share1
days_since_last_push0
active_weeks_last_year49

Release discipline

100Exceptional
How it's scored
27/27Ships releases16 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~21.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count16
latest_release_tag5.0.5
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases21.8

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

64Moderate · 17% of overall
How it's scored
18.6/60Stars15 stars
12.3/25Forks31 forks
5/15Watchers9 watchers
Inputs used
forks31
stars15
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
71.3/80Monthly downloads222,853 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packageshopsworks
dependents
ecosystemspypi
total_downloads
monthly_downloads222,853
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?

90Excellent · 23% of overall
How it's scored
45.9/54Bus factor5 contributor(s) cover half of all commits
18.9/22.5Commit distributiontop contributor authored 16% of commits
13.5/13.5Contributor breadth32 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor5
contributors_sampled32
top_contributor_share0.16
How it's scored
36.8/42Issue resolution88% of issues closed
27.2/30PR acceptance938/1,034 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs938
open_issues5
closed_issues35
prs_merged_7d15
prs_decided_7d15
prs_merged_30d36
prs_decided_30d39
issue_closed_ratio0.875
closed_unmerged_prs96
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
0/20Verified domainverified-domain status not read for this organization
15.7/25Owner reach150 followers of logicalclocks
25/25Track record126 public repos, account ~9 yr old
Inputs used
followers150
owner_typeOrganization
is_verified
owner_loginlogicalclocks
public_repos126
account_age_days3,429
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 0 days ago
20/20Version history121 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageshopsworks
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
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
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
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?

21At Risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestsjava/pom.xml, locust_benchmark/requirements.txt, python/pyproject.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

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
advisories24
affected_packages9
assessed_packages42
unassessed_packages29
affected_by_severitycritical 1, high 4, moderate 4
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 42 resolved dependencies against OSV. 29 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.

75Good · 4% of overall
How it's scored
45/45Agent instructions.claude/CLAUDE.md, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history96 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.96
agent_instruction_files.claude/CLAUDE.md, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes3,253
How it's scored
12.6/18One-command bootstrapjava/beam/pom.xml, java/flink/pom.xml, java/hsfs/pom.xml (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentDockerfile
10/10Demonstrated agent practice58 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.58
toolchain_manifestsjava/beam/pom.xml, java/flink/pom.xml, java/hsfs/pom.xml, java/pom.xml, java/spark/pom.xml, utils/java/pom.xml
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
52.9/55Manageable file sizes28/740 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes423,688
source_files_sampled740
oversized_source_files28
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)python/hopsworks_common/client/istio/grpc/proto/grpc_predict_v2.proto
0/20MCP server
40/40Runnable examplesnotebooks
Inputs used
example_dirsnotebooks
has_mcp_signalno
api_schema_filespython/hopsworks_common/client/istio/grpc/proto/grpc_predict_v2.proto
interfaces_expected_ofnetwork-service

Key facts

15GitHub stars
32contributors
283commits, last 12 months
0days since last push
16releases
5bus factor
5open issues
Maven, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:hopsworks@5.0.5; advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 31 ⇿
0Stars
31Forks
14Releases

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.

01325383122022-032024-052026-07
Major 1Minor 3Patch 6

Each point covers 4 days.

Direct dependencies 28
RegistryPackageVersion constraintManifest
Mavenorg.projectlombok:lombok${lombok.version}java/pom.xml
Mavencom.damnhandy:handy-uri-templates${handy.version}java/pom.xml
Mavenorg.json:json${json.version}java/pom.xml
Mavenorg.apache.commons:commons-text${commons-text.version}java/pom.xml
PyPIpyhumps==1.6.1python/pyproject.toml
PyPIrequestspython/pyproject.toml
PyPIfurlpython/pyproject.toml
PyPIboto3python/pyproject.toml
PyPIpandas<2.4.0python/pyproject.toml
PyPInumpy>=1.26.3,<2.5.0python/pyproject.toml
PyPIcryptographypython/pyproject.toml
PyPImockpython/pyproject.toml
PyPIavro==1.12.0python/pyproject.toml
PyPIPyMySQLpython/pyproject.toml
PyPItzlocalpython/pyproject.toml
PyPIfsspec<2025.12.0python/pyproject.toml
PyPIretryingpython/pyproject.toml
PyPIhopsworks_aiomysql==0.2.2python/pyproject.toml
PyPIopensearch-py>=1.1.0,<=2.8.0python/pyproject.toml
PyPItqdmpython/pyproject.toml
PyPIgrpcio>=1.49.1,<2.0.0python/pyproject.toml
PyPIprotobuf>=4.25.4,<7.0.0python/pyproject.toml
PyPIpackagingpython/pyproject.toml
PyPIhopsworks-apigen>=1.0.4,<2.0.0python/pyproject.toml
PyPIclick>=8.1python/pyproject.toml
PyPItomli>=2.0python/pyproject.toml
PyPItomli-w>=1.0python/pyproject.toml
PyPIbuildpython/pyproject.toml
All dependencies 71

Full resolved dependency set from the GitHub dependency graph: 28 direct and 43 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
Mavencom.damnhandy:handy-uri-templates2.1.8direct
Mavenorg.apache.commons:commons-text1.13.1direct
Mavenorg.json:json20231013direct
Mavenorg.projectlombok:lombok1.18.36direct
PyPIavro1.12.0direct
PyPIboto3direct
PyPIbuilddirect
PyPIclickdirect
PyPIcryptographydirect
PyPIfsspecdirect
PyPIfurldirect
PyPIgrpciodirect
PyPIhopsworks-aiomysqldirect
PyPIhopsworks-apigendirect
PyPImockdirect
PyPInumpydirect
PyPIopensearch-pydirect
PyPIpackagingdirect
PyPIpandasdirect
PyPIprotobufdirect
PyPIpyhumps1.6.1direct
PyPIpymysqldirect
PyPIrequestsdirect
PyPIretryingdirect
PyPItomlidirect
PyPItomli-wdirect
PyPItqdmdirect
PyPItzlocaldirect
Mavencom.fasterxml.jackson.core:jackson-databindindirect
Mavencom.fasterxml.jackson.core:jackson-databind2.13.4.2indirect
Mavencom.google.guava:guava14.0.1indirect
Mavencom.google.guava:guava30.1.1-jreindirect
Mavencom.logicalclocks:hsfs5.1.0-SNAPSHOTindirect
Mavencom.logicalclocks:hsfs-spark-spark3.5indirect
Mavencom.zaxxer:HikariCP4.0.3indirect
Mavencommons-cli:commons-cli1.4indirect
Mavencommons-io:commons-io2.11.0indirect
Mavenio.hops:hadoop-client3.4.3.1-EE-RC4indirect
Mavenio.specto:hoverfly-java0.12.2indirect
Mavenjavax.xml.bind:jaxb-api2.2.11indirect
Mavenlog4j:log4j1.2.17indirect
Mavenmysql:mysql-connector-java8.0.33indirect
Mavenorg.apache.avro:avroindirect
Mavenorg.apache.beam:beam-sdks-java-core2.48.0indirect
Mavenorg.apache.beam:beam-sdks-java-io-kafka2.48.0indirect
Mavenorg.apache.flink:flink-avro1.17.1.0indirect
Mavenorg.apache.flink:flink-connector-kafka1.17.1.0indirect
Mavenorg.apache.flink:flink-streaming-java1.17.1.0indirect
Mavenorg.apache.httpcomponents:httpclient4.5.6indirect
Mavenorg.apache.httpcomponents:httpcore4.4.13indirect
Mavenorg.apache.kafka:kafka-clients3.4.0indirect
Mavenorg.apache.maven.plugins:maven-assembly-plugin2.4.1indirect
Mavenorg.apache.maven.plugins:maven-checkstyle-plugin3.1.1indirect
Mavenorg.apache.maven.plugins:maven-javadoc-plugin3.5.0indirect
Mavenorg.apache.maven.plugins:maven-surefire-plugin2.22.0indirect
Mavenorg.bouncycastle:bcpkix-jdk18on1.79indirect
Mavenorg.junit.jupiter:junit-jupiter-api5.9.1indirect
Mavenorg.junit.jupiter:junit-jupiter-engine5.9.1indirect
Mavenorg.mockito:mockito-core4.3.1indirect
Mavenorg.mockito:mockito-inline4.3.1indirect
Mavenorg.projectlombok:lombok-maven-plugin1.18.20.0indirect
Mavenorg.scala-lang:scala-libraryindirect
Mavenorg.scala-tools:maven-scala-plugin2.15.2indirect
Mavenorg.slf4j:slf4j-api2.0.17indirect
Mavenorg.slf4j:slf4j-log4j122.0.17indirect
Mavensoftware.amazon.awssdk:secretsmanagerindirect
Mavensoftware.amazon.awssdk:ssmindirect
Mavensoftware.amazon.awssdk:stsindirect
PyPIlocust2.23.1indirect
PyPImarkupsafe2.0.1indirect
PyPInest-asyncio1.6.0indirect
Dependency advisories 9

This repository publishes no package the index resolves, so its own dependency graph was assessed — 42 packages, which also include development and test pins that never ship: 9 carry known advisories, of which 0 are direct. 29 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
log4j:log4j1.2.17indirectcritical62.0
com.fasterxml.jackson.core:jackson-databind2.13.4.2indirecthigh53.1.4
commons-io:commons-io2.11.0indirecthigh12.14.0
mysql:mysql-connector-java8.0.33indirecthigh18.2.0
org.apache.kafka:kafka-clients3.4.0indirecthigh44.1.2
com.google.guava:guava14.0.1indirectmoderate332.0.0-android
com.google.guava:guava30.1.1-jreindirectmoderate232.0.0-android
org.apache.httpcomponents:httpclient4.5.6indirectmoderate15.0.3
org.bouncycastle:bcpkix-jdk18on1.79indirectmoderate11.84

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.