Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-10 06:37 UTC

btclib-org / btclib

A Python library for 'bitcoin cryptography'

PythonMIT★ 113 stars⑂ 48 forkssince May 2018View on GitHub ↗

btclib-org/btclib holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (91/100) and lowest on Sustainability & Governance (65/100). It was last updated today. A single contributor accounts for most of its recent work.

93
overall / 100
Exceptional

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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

btclibOrganization
2 followers14 public repossince Jun 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?

83Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
7.6/36Commit cadence — 11/52 weeks with commits
18/18Commit volume — 1,656 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,656
human_commit_share0.94
days_since_last_push0
active_weeks_last_year11

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 37 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~1.8 days
10/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count37
latest_release_tagv2026.10.9
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.8

Community & Adoption

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

69Good · 17% of overall
How it's scored
33.2/60Stars — 113 stars
13.9/25Forks — 48 forks
2.7/15Watchers — 4 watchers
Inputs used
forks48
stars113
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges27
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, readthedocs.org, shields.io, www.bestpractices.dev
has_pull_request_templateyes
How it's scored
54.4/80Monthly downloads — 11,999 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesbtclib
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,999
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?

65Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.7/22.5Commit distribution — top contributor authored 92% of commits
13.5/13.5Contributor breadth — 20 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled20
top_contributor_share0.925
How it's scored
41.4/42Issue resolution — 99% of issues closed
28.8/30PR acceptance — 1,406/1,466 decided PRs merged
13/13Newcomer PR acceptance — 3/3 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 3/28 approved changesets -- score normalized to 1
Inputs used
merged_prs1,406
open_issues16
closed_issues1,114
prs_merged_7d48
prs_decided_7d48
prs_merged_30d57
prs_decided_30d57
issue_closed_ratio0.986
closed_unmerged_prs60
first_time_authors_30d3
first_time_prs_merged_30d3
first_time_prs_decided_30d3
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
3.4/25Owner reach — 2 followers of btclib-org
20.6/25Track record — 14 public repos, account ~7 yr old
Inputs used
followers2
owner_typeOrganization
is_verifiedno
owner_loginbtclib-org
public_repos14
account_age_days2,663

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 40 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesbtclib
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall
How it's scored
24/24CI workflows — 20 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 27 out of 30 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://btclib.readthedocs.io/
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsbitcoin, cryptography, elliptic-curves, ecdsa, schnorr, electrum, base58, bech32, segwit, message-signing, bip340, taproot, musig2, secp256k1, bitcoin-script, merkle-proof, rfc-6979, bip158, bip324, frost
has_wikino
homepagehttps://btclib.readthedocs.io/
docs_sitehttps://btclib.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

89Excellent · 16% of overall

Security posture

86Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 27 out of 30 merged PRs checked by a CI test -- score normalized to 9
1.8/2.5CII-Best-Practices — badge detected: Silver
0.8/7.5Code-Review — Found 3/28 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 4 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
5/5Security-Policy — security policy file detected
7.5/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate8.6

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages120
unassessed_packages0
affected_by_severitynone
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 120 resolved dependencies against OSV. 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.

89Excellent · 4% of overall
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 94 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes6,768
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/btclib/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 85 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 5 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/btclib/py.typed
agent_commit_share0.85
toolchain_manifests—
dependency_bot_commit_share0.05
How it's scored
27/45Type-checkable code — Python with type-check config (src/btclib/py.typed)
54.3/55Manageable file sizes — 3/253 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes90,954
source_files_sampled253
oversized_source_files3

Key facts

113GitHub stars
20contributors
1,656commits, last 12 months
0days since last push
37releases
1bus factor
16open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:btclib@2026.10.9; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 48 ⇿
0Stars
48Forks
34Releases

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.

010203040504742017-102022-042026-10
Major 0Minor 0Patch 34

Each point covers 9 days.

OpenSSF Scorecard 8.6 / 10
8.6aggregate

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 · 2026-10-10 06:36 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests27 out of 30 merged PRs checked by a CI test -- score normalized to 9
7CII-Best-Practicesbadge detected: Silver
1Code-ReviewFound 3/28 approved changesets -- score normalized to 1
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
9SASTSAST tool is not run on all commits -- score normalized to 9
10Security-Policysecurity policy file detected
10Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIbitcoin-core-rpc>=2026.9.29pyproject.toml
PyPIbtclib-ecc>=2026.10.2pyproject.toml
PyPItyping-extensions>=4.10pyproject.toml
All dependencies 120

Full resolved dependency set from the GitHub dependency graph: 3 direct and 117 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbitcoin-core-rpc2026.10.4direct
PyPIbtclib-ecc2026.10.2direct
PyPItyping-extensions4.16.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.4indirect
PyPIaiosignal1.4.0indirect
PyPIalabaster1.0.0indirect
PyPIannotated-types0.8.0indirect
PyPIanybadge1.16.0indirect
PyPIast-serialize0.12.1indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbtclib2026.10.9indirect
PyPIbtclib-secp256k10.8.0.10indirect
PyPIbuild1.6.1indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.5.2indirect
PyPIcheck-sdist1.6.0indirect
PyPIcheck-wheel-contents0.6.3indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcosmic-ray8.7.0indirect
PyPIcoverage7.16.2indirect
PyPIcryptography50.0.2indirect
PyPIdecorator5.3.1indirect
PyPIdistlib0.4.3indirect
PyPIdocutils0.22.4indirect
PyPIexecnet2.1.2indirect
PyPIexit-codes1.3.0indirect
PyPIfilelock4.0.12indirect
PyPIfrozenlist1.8.0indirect
PyPIfuro2025.12.19indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.2.0indirect
PyPIhypothesis6.168.5indirect
PyPIid1.6.1indirect
PyPIidentify2.6.20indirect
PyPIidna3.20indirect
PyPIimagesize2.0.1indirect
PyPIimportlib-metadata9.0.1indirect
PyPIiniconfig2.3.1indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIkeyring25.7.0indirect
PyPIlibrt0.16.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.4indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImultidict6.9.1indirect
PyPImypy2.4.0indirect
PyPImypy-extensions1.1.0indirect
PyPImyst-parser5.1.0indirect
PyPInh30.3.7indirect
PyPInodeenv1.11.0indirect
PyPIpackaging26.3indirect
PyPIparso0.8.7indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.12.3indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpropcache0.5.4indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.5indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.21.0indirect
PyPIpyproject-hooks1.3.3indirect
PyPIpyroma5.0.1indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-randomly5.0.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-discovery1.6.1indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer46.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIruff0.16.10indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools84.0.0indirect
PyPIsmmap5.0.3indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.10indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy2.1.3indirect
PyPIstevedore5.9.1indirect
PyPItoml0.10.2indirect
PyPItomli2.5.0indirect
PyPItrove-classifiers2026.9.21.13indirect
PyPItwine7.0.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.8.0indirect
PyPIuv-build0.12.23indirect
PyPIvirtualenv21.14.5indirect
PyPIwheel-filename1.4.2indirect
PyPIyarl1.25.1indirect
PyPIyattag1.16.1indirect
PyPIzipp4.1.1indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 120 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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 v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.