Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-15 23:39 UTC

XRPLF / xrpl-py

A Python library to interact with the XRP Ledger (XRPL) blockchain

PythonISC★ 247 stars⑂ 137 forkssince Jan 2021View on GitHub ↗

XRPLF/xrpl-py holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (92/100) and lowest on Security (70/100). It was last updated today. 3 contributors account for most of its recent work.

94
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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

1,100 followers53 public repossince Jul 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIxrpl-py5.2.090,0345729 days agoxrpxrplcryptocurrency

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 recency — last push 0 days ago
17.3/36Commit cadence — 25/52 weeks with commits
14.8/18Commit volume — 43 commits in the last year
10/10OpenSSF Scorecard: Maintained — 12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year43
human_commit_share0.79
days_since_last_push0
active_weeks_last_year25

Release discipline

98Exceptional
How it's scored
27/27Ships releases — 53 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~37.4 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count53
latest_release_tagv5.3.0b0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases37.4

Community & Adoption

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

74Good · 17% of overall
How it's scored
38.8/60Stars — 247 stars
17.8/25Forks — 137 forks
8.2/15Watchers — 31 watchers
Inputs used
forks137
stars247
watchers31
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (ISC)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesreadthedocs.org, shields.io
has_pull_request_templateyes
How it's scored
66.1/80Monthly downloads — 90,034 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesxrpl-py
dependents—
ecosystemspypi
total_downloads—
monthly_downloads90,034
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?

79Good · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
13.9/22.5Commit distribution — top contributor authored 38% of commits
13.5/13.5Contributor breadth — 38 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled38
top_contributor_share0.38
How it's scored
22.7/42Issue resolution — 54% of issues closed
24.3/30PR acceptance — 621/766 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs621
open_issues113
closed_issues133
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d2
issue_closed_ratio0.541
closed_unmerged_prs145
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 backing — organization-owned
0/20Verified domain
21.9/25Owner reach — 1,100 followers of XRPLF
24.6/25Track record — 53 public repos, account ~6 yr old
Inputs used
followers1,100
owner_typeOrganization
is_verifiedno
owner_loginXRPLF
public_repos53
account_age_days2,292

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 29 days ago
20/20Version history — 57 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesxrpl-py
ecosystemspypi
any_deprecatedno
min_days_since_publish29

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.isort])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
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://xrpl-py.readthedocs.io
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicspython, blockchain, cryptocurrency, ledger, xrpl, xrplf, xrp, xrp-ledger
has_wikino
homepage—
docs_sitehttps://xrpl-py.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
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
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
1.5/7.5Vulnerabilities — 8 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.2
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages14
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:xrpl-py@5.2.0 runtime dependency closure — what installing the published package pulls in — 14 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.

75Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 79 of 79 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.isort])
11/11Static type checking — mypy.ini, py.typed, xrpl/account/py.typed, xrpl/asyncio/account/py.typed, xrpl/asyncio/clients/py.typed, xrpl/asyncio/ledger/py.typed, xrpl/asyncio/py.typed, xrpl/asyncio/transaction/py.typed, xrpl/asyncio/wallet/py.typed, xrpl/clients/py.typed, xrpl/core/addresscodec/py.typed, xrpl/core/binarycodec/py.typed, xrpl/core/keypairs/py.typed, xrpl/core/py.typed, xrpl/ledger/py.typed, xrpl/models/amounts/py.typed, xrpl/models/currencies/py.typed, xrpl/models/py.typed, xrpl/models/requests/py.typed, xrpl/models/transactions/py.typed, xrpl/py.typed, xrpl/transaction/py.typed, xrpl/utils/py.typed, xrpl/wallet/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 10 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 16 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, py.typed, xrpl/account/py.typed, xrpl/asyncio/account/py.typed, xrpl/asyncio/clients/py.typed, xrpl/asyncio/ledger/py.typed, xrpl/asyncio/py.typed, xrpl/asyncio/transaction/py.typed, xrpl/asyncio/wallet/py.typed, xrpl/clients/py.typed, xrpl/core/addresscodec/py.typed, xrpl/core/binarycodec/py.typed, xrpl/core/keypairs/py.typed, xrpl/core/py.typed, xrpl/ledger/py.typed, xrpl/models/amounts/py.typed, xrpl/models/currencies/py.typed, xrpl/models/py.typed, xrpl/models/requests/py.typed, xrpl/models/transactions/py.typed, xrpl/py.typed, xrpl/transaction/py.typed, xrpl/utils/py.typed, xrpl/wallet/py.typed
agent_commit_share0.1
toolchain_manifests—
dependency_bot_commit_share0.16
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini, py.typed, xrpl/account/py.typed, xrpl/asyncio/account/py.typed, xrpl/asyncio/clients/py.typed, xrpl/asyncio/ledger/py.typed, xrpl/asyncio/py.typed, xrpl/asyncio/transaction/py.typed, xrpl/asyncio/wallet/py.typed, xrpl/clients/py.typed, xrpl/core/addresscodec/py.typed, xrpl/core/binarycodec/py.typed, xrpl/core/keypairs/py.typed, xrpl/core/py.typed, xrpl/ledger/py.typed, xrpl/models/amounts/py.typed, xrpl/models/currencies/py.typed, xrpl/models/py.typed, xrpl/models/requests/py.typed, xrpl/models/transactions/py.typed, xrpl/py.typed, xrpl/transaction/py.typed, xrpl/utils/py.typed, xrpl/wallet/py.typed)
54.9/55Manageable file sizes — 1/538 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes63,365
source_files_sampled538
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
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

247GitHub stars
38contributors
43commits, last 12 months
0days since last push
53releases
3bus factor
113open 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 ★ / 137 ⇿
0Stars
137Forks
52Releases

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.

025507510012515013042021-032023-122026-10
Major 5Minor 23Patch 2

Each point covers 6 days.

OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-10-15 23:39 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
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained12 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-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
2Vulnerabilities8 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIbase58^2.1.0pyproject.toml
PyPIECPy^1.2.5pyproject.toml
PyPItyping-extensions^4.15.0pyproject.toml
PyPIhttpx>=0.18.1,<0.29.0pyproject.toml
PyPIwebsockets^15.0.1pyproject.toml
PyPIDeprecated^1.3.1pyproject.toml
PyPItypes-Deprecated^1.3.1.20260130pyproject.toml
PyPIpycryptodome^3.23.0pyproject.toml
All dependencies 69

Full resolved dependency set from the GitHub dependency graph: 8 direct and 61 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbase582.1.1direct
PyPIdeprecated1.3.1direct
PyPIecpy1.2.5direct
PyPIhttpx0.28.1direct
PyPIpycryptodome3.23.0direct
PyPItypes-deprecated1.3.1.20260408direct
PyPItyping-extensions4.15.0direct
PyPIwebsockets15.0.1direct
PyPIaiounittest1.5.0indirect
PyPIalabaster0.7.16indirect
PyPIanyio4.9.0indirect
PyPIattrs25.3.0indirect
PyPIbabel2.17.0indirect
PyPIblack26.3.1indirect
PyPIcertifi2025.6.15indirect
PyPIcffi—indirect
PyPIcharset-normalizer3.4.2indirect
PyPIclick8.1.8indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.5indirect
PyPIdocstring-parser-fork0.0.12indirect
PyPIdocutils0.21.2indirect
PyPIexceptiongroup1.3.0indirect
PyPIflake87.3.0indirect
PyPIflake8-absolute-import1.0.0.2indirect
PyPIflake8-annotations3.1.1indirect
PyPIflake8-black0.4.0indirect
PyPIflake8-docstrings1.7.0indirect
PyPIflake8-isort6.1.2indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIidna3.10indirect
PyPIimagesize1.4.1indirect
PyPIisort6.1.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.9.0indirect
PyPImarkupsafe3.0.2indirect
PyPImccabe0.7.0indirect
PyPImypy1.20.2indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.2indirect
PyPIpastel0.2.1indirect
PyPIpathspec1.0.4indirect
PyPIplatformdirs4.3.8indirect
PyPIpoethepoet0.37.0indirect
PyPIpycodestyle2.14.0indirect
PyPIpydoclint0.7.6indirect
PyPIpydocstyle6.3.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpytokens0.4.1indirect
PyPIpyyaml6.0.2indirect
PyPIrequests2.33.1indirect
PyPIsetuptools—indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx7.4.7indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.2.1indirect
PyPIurllib32.6.3indirect
PyPIwrapt1.17.2indirect
PyPIxrpl-py—indirect
Dependency advisories 0

Installing pypi:xrpl-py@5.2.0 pulls in 14 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 v0.34.0 — full methodology · metrics wiki.

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