Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 22:17 UTC

hyperopt / hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

Python · Jupyter NotebookCustom license★ 7,598 stars⑂ 1,076 forkssince Sep 2011View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

hyperopt/hyperopt holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (84/100) and lowest on AI Readiness (60/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

hyperoptOrganization
82 followers9 public repossince Aug 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIhyperopt0.3.0-1519 days agobayesian-optimizationhyperparametermodel-selection

Metrics by category

Vitality

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

76Good · 21% of overall
How it's scored
36/36Push recencylast push 2 days ago
4.2/36Commit cadence6/52 weeks with commits
11.3/18Commit volume17 commits in the last year
10/10OpenSSF Scorecard: Maintained15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year17
human_commit_share0.97
days_since_last_push2
active_weeks_last_year6

Release discipline

98Exceptional
How it's scored
27/27Ships releases2 releases published
36/36Release recencylatest release 19 days ago
27/27Release cadencea release every ~9 days
8/10OpenSSF Scorecard: Signed-Releases2 out of the last 2 releases have a total of 2 signed artifacts.
Inputs used
releases_count2
latest_release_tagv0.3.0
releases_from_tagsno
days_since_latest_release19
mean_days_between_releases9

Community & Adoption

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

72Good · 17% of overall
How it's scored
60/60Stars7,598 stars
25/25Forks1,076 forks
11.3/15Watchers111 watchers
Inputs used
forks1,076
stars7,598
watchers111
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, github.com
has_pull_request_templateno

Sustainability & Governance

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

73Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
9.7/22.5Commit distributiontop contributor authored 57% of commits
13.5/13.5Contributor breadth98 contributors
10/10OpenSSF Scorecard: Contributorsproject has 32 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled98
top_contributor_share0.568
How it's scored
41.6/42Issue resolution99% of issues closed
23.7/30PR acceptance224/283 decided PRs merged
8.7/13Newcomer PR acceptance2/3 first-time contributors' PRs merged in 30d
9/15OpenSSF Scorecard: Code-ReviewFound 10/15 approved changesets -- score normalized to 6
Inputs used
merged_prs224
open_issues6
closed_issues660
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d3
issue_closed_ratio0.991
closed_unmerged_prs59
first_time_authors_30d3
first_time_prs_merged_30d2
first_time_prs_decided_30d3
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
13.8/25Owner reach82 followers of hyperopt
19.3/25Track record9 public repos, account ~12 yr old
Inputs used
followers82
owner_typeOrganization
is_verified
owner_loginhyperopt
public_repos9
account_age_days4,739
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 19 days ago
20/20Version history15 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageshyperopt
ecosystemspypi
any_deprecatedno
min_days_since_publish19

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests1 out of 13 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttp://hyperopt.github.io/hyperopt
10/10Repository description
10/10Topics1 topics
10/10Wiki
Inputs used
topicshacktoberfest
has_wikiyes
homepagehttp://hyperopt.github.io/hyperopt
docs_sitehttp://hyperopt.github.io/hyperopt
has_readmeyes
has_docs_diryes
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-Protectionbranch protection not enabled on development/release branches
0/2.5CI-Tests1 out of 13 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-ReviewFound 10/15 approved changesets -- score normalized to 6
2.5/2.5Contributorsproject has 32 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
7.5/7.5Maintained15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
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
6/7.5Signed-Releases2 out of the last 2 releases have a total of 2 signed artifacts.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5

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_packages5
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:hyperopt@0.3.0 runtime dependency closure — what installing the published package pulls in — 5 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.

60Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
34.1/40Legible commit history62 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.639
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapnoxfile.py
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentlockfile
6/10Demonstrated agent practice3 of the last 100 commits agent-authored or agent-credited
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
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.03
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
54.1/55Manageable file sizes1/60 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes67,759
source_files_sampled60
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesnotebooks
Inputs used
example_dirsnotebooks
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

7,598GitHub stars
98contributors
17commits, last 12 months
2days since last push
2releases
1bus factor
6open 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 ★ / 1,076 ⇿
0Stars
1,076Forks
2Releases

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.

02004006008001,000952112011-102019-032026-08
Major 0Minor 1Patch 0

Each point covers 14 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 22:17 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests1 out of 13 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 10/15 approved changesets -- score normalized to 6
10Contributorsproject has 32 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained15 commit(s) and 0 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
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
8Signed-Releases2 out of the last 2 releases have a total of 2 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPInumpy>=1.17pyproject.toml
PyPIscipy>=1.5.0pyproject.toml
PyPInetworkx>=2.2pyproject.toml
PyPItqdmpyproject.toml
PyPIcloudpicklepyproject.toml
PyPIimportlib-resources>=1.3pyproject.toml
All dependencies 54

Full resolved dependency set from the GitHub dependency graph: 12 direct and 42 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcloudpickle3.1.2direct
PyPInetworkxdirect
PyPInetworkx3.4.2direct
PyPInetworkx3.6.1direct
PyPInumpydirect
PyPInumpy2.2.6direct
PyPInumpy2.4.6direct
PyPIscipydirect
PyPIscipy1.15.3direct
PyPIscipy1.17.1direct
PyPIscipy1.18.0direct
PyPItqdm4.68.3direct
PyPIargcomplete3.6.3indirect
PyPIast-serialize0.5.0indirect
PyPIattrs26.1.0indirect
PyPIcfgv3.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcolorlog6.10.1indirect
PyPIdependency-groups1.3.1indirect
PyPIdistlib0.4.3indirect
PyPIdnspython2.8.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.29.4indirect
PyPIhumanize4.15.0indirect
PyPIidentify2.6.19indirect
PyPIiniconfig2.3.0indirect
PyPIjoblib1.5.3indirect
PyPIlibrt0.11.0indirect
PyPIlightgbm4.6.0indirect
PyPImypy2.1.0indirect
PyPImypy-extensions1.1.0indirect
PyPInarwhals2.22.1indirect
PyPInodeenv1.10.0indirect
PyPInox2026.4.10indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIpy4j0.10.9.9indirect
PyPIpygments2.20.0indirect
PyPIpymongoindirect
PyPIpymongo4.17.0indirect
PyPIpyspark4.1.2indirect
PyPIpytest9.1.1indirect
PyPIpython-discovery1.4.2indirect
PyPIpyyaml6.0.3indirect
PyPIscikit-learn1.7.2indirect
PyPIscikit-learn1.9.0indirect
PyPIsetuptoolsindirect
PyPIthreadpoolctl3.6.0indirect
PyPItomli2.4.1indirect
PyPItyping-extensions4.15.0indirect
PyPIvirtualenv21.5.1indirect
Dependency advisories 0

Installing pypi:hyperopt@0.3.0 pulls in 5 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.