Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-05 07:04 UTC

quiknode-labs / hyperliquid-sdk

Hyperliquid SDK

Python · Rust · GoMIT★ 291 stars⑂ 8 forkssince Feb 2026View on GitHub ↗

quiknode-labs/hyperliquid-sdk holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Sustainability & Governance (76/100) and lowest on AI Readiness (49/100). It was last updated 15 days ago. A single contributor accounts for most of its recent work.

67
overall / 100
Good

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.

67
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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

QuicknodeOrganization
157 followers151 public repossince Aug 2019

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?

62Moderate · 21% of overall
How it's scored
28.8/36Push recencylast push 15 days ago
5.5/36Commit cadence8/52 weeks with commits
17.6/18Commit volume90 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year90
human_commit_share1
days_since_last_push15
active_weeks_last_year8
How it's scored
16.2/27Ships releases1 version tags (no GitHub releases)
27/36Release recencylatest release 153 days ago
12.6/27Release cadencecadence unknown (single release)
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count1
latest_release_tagv0.1.5
releases_from_tagsyes
days_since_latest_release153
mean_days_between_releases
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?

49Weak · 17% of overall
How it's scored
39.9/60Stars291 stars
7/25Forks8 forks
0/15Watchers1 watchers
Inputs used
forks8
stars291
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
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
How it's scored
40.5/80Monthly downloads1,085 downloads/month across crates, go, npm, pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesgithub.com/quiknode-labs/hyperliquid-sdk/go, quicknode-hyperliquid-sdk, hyperliquid-sdk, @quicknode/hyperliquid-sdk
dependents
ecosystemscrates, go, npm, pypi
total_downloads485
monthly_downloads1,085
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?

76Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
11/22.5Commit distributiontop contributor authored 51% of commits
6.8/13.5Contributor breadth5 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.511
How it's scored
42/42Issue resolution100% of issues closed
30/30PR acceptance16/16 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs16
open_issues0
closed_issues4
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio1
closed_unmerged_prs0
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
15.8/25Owner reach157 followers of quiknode-labs
25/25Track record151 public repos, account ~6 yr old
Inputs used
followers157
owner_typeOrganization
is_verified
owner_loginquiknode-labs
public_repos151
account_age_days2,552
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable4 package(s) on crates, go, npm, pypi
35/35Publish recencylatest publish 15 days ago
20/20Version history39 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesgithub.com/quiknode-labs/hyperliquid-sdk/go, quicknode-hyperliquid-sdk, hyperliquid-sdk, @quicknode/hyperliquid-sdk
ecosystemscrates, go, npm, pypi
any_deprecatedno
min_days_since_publish15

Engineering Quality

Are baseline engineering and documentation practices in place?

62Moderate · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests2 out of 6 merged PRs checked by a CI test -- score normalized to 3
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://hyperliquidapi.com
10/10Repository description
10/10Topics9 topics
10/10Wiki
Inputs used
topicsblockchain, crypto, cryptocurrencies, cryptocurrency, hyperliquid, hyperliquid-api, trading, trading-api, web3
has_wikiyes
homepagehttps://hyperliquidapi.com
docs_sitehttps://hyperliquidapi.com
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

55Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0.8/2.5CI-Tests2 out of 6 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
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
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
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
0/7.5Vulnerabilities68 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.4
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_packages30
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:hyperliquid-sdk@0.7.6 runtime dependency closure — what installing the published package pulls in — 30 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.

49Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
21.9/40Legible commit history37 of 90 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.411
agent_instruction_files
agent_instruction_max_bytes
How it's scored
12.6/18One-command bootstrapgo/go.mod, rust/Cargo.toml (toolchain convention, no task runner)
22/22Automated tests
0/11Lint / format config
11/11Static type checkingpython/hyperliquid_sdk/py.typed, typescript/tsconfig.json
10/10Reproducible environmentlockfile
2.2/10Demonstrated agent practice1 of the last 90 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
1/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesgo.sum, package-lock.json, yarn.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configspython/hyperliquid_sdk/py.typed, typescript/tsconfig.json
agent_commit_share0.011
toolchain_manifestsgo/go.mod, rust/Cargo.toml
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (python/hyperliquid_sdk/py.typed, typescript/tsconfig.json)
50.8/55Manageable file sizes6/79 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes116,622
source_files_sampled79
oversized_source_files6
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)go/hyperliquid/proto/orderbook.proto, go/hyperliquid/proto/streaming.proto, python/hyperliquid_sdk/proto/orderbook.proto, python/hyperliquid_sdk/proto/streaming.proto, rust/proto/orderbook.proto, rust/proto/streaming.proto, typescript/src/proto/orderbook.proto, typescript/src/proto/streaming.proto
0/20MCP servernot applicable to this kind of software
0/40Runnable examples
Inputs used
example_dirs
has_mcp_signalno
api_schema_filesgo/hyperliquid/proto/orderbook.proto, go/hyperliquid/proto/streaming.proto, python/hyperliquid_sdk/proto/orderbook.proto, python/hyperliquid_sdk/proto/streaming.proto, rust/proto/orderbook.proto, rust/proto/streaming.proto, typescript/src/proto/orderbook.proto, typescript/src/proto/streaming.proto
interfaces_expected_of
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

291GitHub stars
5contributors
90commits, last 12 months
15days since last push
1releases
1bus factor
0open issues
crates.io, Go, npm, 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 ★ / 8 ⇿
0Stars
8Forks

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.

02468832026-042026-052026-07
OpenSSF Scorecard 4.4 / 10
4.4aggregate

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 · 2026-08-05 07:03 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
3CI-Tests2 out of 6 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
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
0Vulnerabilities68 existing vulnerabilities detected
Direct dependencies 34
RegistryPackageVersion constraintManifest
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All dependencies 250

Full resolved dependency set from the GitHub dependency graph: 36 direct and 214 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmmlly1.8.0indirect
npmms2.1.3indirect
npmmz2.7.0indirect
npmnanoid3.3.12indirect
npmobject-assign4.1.1indirect
npmpathe1.1.2indirect
npmpathe2.0.3indirect
npmpathval2.0.1indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.3indirect
npmpirates4.0.7indirect
npmpkg-types1.3.1indirect
npmpostcss8.5.15indirect
npmpostcss-load-config6.0.1indirect
npmprotobufjs7.5.4indirect
npmreaddirp4.1.2indirect
npmrequire-directory2.1.1indirect
npmresolve-from5.0.0indirect
npmresolve-pkg-maps1.0.0indirect
npmrollup4.59.0indirect
npmsiginfo2.0.0indirect
npmsource-map0.7.6indirect
npmsource-map-js1.2.1indirect
npmstackback0.0.2indirect
npmstd-env3.10.0indirect
npmstring-width4.2.3indirect
npmstrip-ansi6.0.1indirect
npmsucrase3.35.1indirect
npmthenify3.3.1indirect
npmthenify-all1.6.0indirect
npmtinybench2.9.0indirect
npmtinyexec0.3.2indirect
npmtinyglobby0.2.15indirect
npmtinypool1.1.1indirect
npmtinyrainbow1.2.0indirect
npmtinyspy3.0.2indirect
npmtree-kill1.2.2indirect
npmts-interface-checker0.1.13indirect
npmtslib2.7.0indirect
npmtsup8.5.1indirect
npmtsx4.21.0indirect
npmtypescript5.9.3indirect
npmufo1.6.3indirect
npmundici-types6.19.8indirect
npmundici-types6.21.0indirect
npmundici-types7.18.2indirect
npmvite5.4.21indirect
npmvite-node2.1.9indirect
npmvitest2.1.9indirect
npmwhy-is-node-running2.3.0indirect
npmwrap-ansi7.0.0indirect
npmy18n5.0.8indirect
npmyargs17.7.2indirect
npmyargs-parser21.1.1indirect
PyPIblackindirect
PyPIgrpcio-toolsindirect
PyPImypyindirect
PyPIpytestindirect
PyPIpytest-asyncioindirect
PyPIruffindirect
Dependency advisories 0

Installing pypi:hyperliquid-sdk@0.7.6 pulls in 30 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.

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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 statisticsGo, crates.io, PyPI, npm.