Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-21 12:33 UTC

nanoporetech / pod5-file-format

Pod5: a high performance file format for nanopore reads.

C++ · PythonCustom license★ 177 stars⑂ 41 forkssince May 2022View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

nanoporetech/pod5-file-format holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Vitality (86/100) and lowest on Security (53/100). It was last updated today. 2 contributors account for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Oxford Nanopore TechnologiesOrganization · verified domain
1,126 followers76 public repossince May 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpod50.3.489,161370 days agonanopore
PyPIlib_pod50.3.4811,404370 days agonanopore

Metrics by category

Vitality

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

86Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
24.2/36Commit cadence35/52 weeks with commits
18/18Commit volume210 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_year210
human_commit_share1
days_since_last_push0
active_weeks_last_year35
How it's scored
27/27Ships releases56 releases published
36/36Release recencylatest release 0 days ago
19.8/27Release cadencea release every ~54.3 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count56
latest_release_tag0.3.48
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases54.3

Community & Adoption

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

56Moderate · 17% of overall
How it's scored
36.4/60Stars177 stars
13.4/25Forks41 forks
7.4/15Watchers22 watchers
Inputs used
forks41
stars177
watchers22
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_servicesshields.io
has_pull_request_templateno
How it's scored
57.5/80Monthly downloads20,565 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagespod5, lib_pod5
dependents
ecosystemspypi
total_downloads
monthly_downloads20,565
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?

74Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.6/22.5Commit distributiontop contributor authored 44% of commits
13.5/13.5Contributor breadth15 contributors
10/10OpenSSF Scorecard: Contributorsproject has 5 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled15
top_contributor_share0.439
How it's scored
31.8/42Issue resolution76% of issues closed
7.5/30PR acceptance1/4 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs1
open_issues46
closed_issues144
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.758
closed_unmerged_prs3
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
20/20Verified domain
21.9/25Owner reach1,126 followers of nanoporetech
25/25Track record76 public repos, account ~12 yr old
Inputs used
followers1,126
owner_typeOrganization
is_verifiedyes
owner_loginnanoporetech
public_repos76
account_age_days4,505

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable2 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history37 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespod5, lib_pod5
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config.flake8, python/lib_pod5/pyproject.toml ([tool.black]), python/pod5/pyproject.toml ([tool.black])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_cino
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://software-docs.nanoporetech.com/pod5
10/10Repository description
10/10Topics3 topics
10/10Wiki
Inputs used
topicsnanopore, file-format, apache-arrow
has_wikiyes
homepagehttps://software-docs.nanoporetech.com/pod5
docs_sitehttps://software-docs.nanoporetech.com/pod5
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

53Moderate · 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-Testsno data
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 5 contributing companies or organizations
0/10Dangerous-Workflowno data
0/7.5Dependency-Update-Toolno update tool detected
5/5Fuzzingproject is fuzzed
2.2/2.5Licenselicense 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
0/5SASTno SAST tool detected
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsno data
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated14
scorecard_versionv5.5.0
checks_inconclusive4
scorecard_aggregate4.1
Excluded from scoring (no data or not applicable): CI-Tests, Dangerous-Workflow, Packaging, Token-Permissions. Remaining weights renormalized.

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
advisories4
affected_packages1
assessed_packages4
unassessed_packages11
affected_by_severitycritical 1
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 4 resolved dependencies against OSV. 11 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.

66Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
24/40Legible commit history45 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.45
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrappython/lib_pod5/Makefile, python/pod5/Makefile
22/22Automated tests
11/11Lint / format config.flake8, python/lib_pod5/pyproject.toml ([tool.black]), python/pod5/pyproject.toml ([tool.black])
11/11Static type checkingpython/lib_pod5/src/lib_pod5/py.typed
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
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
lockfiles
has_dockerfileyes
typed_languageyes
bootstrap_filespython/lib_pod5/Makefile, python/pod5/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configspython/lib_pod5/src/lib_pod5/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
45/45Type-checkable codeC++ (statically typed)
55/55Manageable file sizes0/189 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes58,335
source_files_sampled189
oversized_source_files0
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 examplesexamples
Inputs used
example_dirsexamples
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

177GitHub stars
15contributors
210commits, last 12 months
0days since last push
56releases
2bus factor
46open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'pod5version' from its registry
  • deps.dev does not index pypi:pod5@0.3.48; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 41 ⇿
0Stars
41Forks
35Releases

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.

01325383232022-112024-092026-06
Major 0Minor 3Patch 32

Each point covers 4 days.

OpenSSF Scorecard 4.1 / 10
4.1aggregate

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 · 2026-09-21 12:33 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 5 contributing companies or organizations
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
10Fuzzingproject is fuzzed
9Licenselicense 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
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 15
RegistryPackageVersion constraintManifest
PyPInumpy>=1.21.0python/lib_pod5/pyproject.toml
PyPIdeprecated~= 1.2python/pod5/pyproject.toml
PyPIlib_pod5== 0.3.48python/pod5/pyproject.toml
PyPIiso8601python/pod5/pyproject.toml
PyPImore_itertoolspython/pod5/pyproject.toml
PyPInumpy>= 1.21.0python/pod5/pyproject.toml
PyPItyping-extensionspython/pod5/pyproject.toml
PyPIpyarrow~= 22.0.0python/pod5/pyproject.toml
PyPIpyarrow~= 18.0.0python/pod5/pyproject.toml
PyPIpytzpython/pod5/pyproject.toml
PyPIpackagingpython/pod5/pyproject.toml
PyPIpolars~= 1.30python/pod5/pyproject.toml
PyPIh5py~= 3.11python/pod5/pyproject.toml
PyPIvbz_h5py_pluginpython/pod5/pyproject.toml
PyPItqdmpython/pod5/pyproject.toml
All dependencies 15

Full resolved dependency set from the GitHub dependency graph: 6 direct and 9 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdeprecateddirect
PyPIh5pydirect
PyPIlib-pod50.3.48direct
PyPInumpydirect
PyPIpolarsdirect
PyPIpyarrowdirect
PyPIblack23.3.0indirect
PyPImypy1.3.0indirect
PyPIpandasindirect
PyPIpre-commitv2.21.0indirect
PyPIpybind11indirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIsetuptoolsindirect
PyPItabulateindirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 4 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct. 11 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
black23.3.0indirectcritical426.3.1

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 v0.34.0 — full methodology · metrics wiki.

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