Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 12:14 UTC

nerevu / riko

A Python stream processing engine modeled after Yahoo! Pipes

PythonMIT★ 1,607 stars⑂ 75 forkssince Jun 2016View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

nerevu/riko holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (85/100) and lowest on Sustainability & Governance (57/100). It was last updated today. 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

Nerevu GroupOrganization
3 followers102 public repossince Sep 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIriko0.77.39417317 days ago

Metrics by category

Vitality

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

84Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
9/36Commit cadence — 13/52 weeks with commits
18/18Commit volume — 474 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year474
human_commit_share1
days_since_last_push0
active_weeks_last_year13

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 6 releases published
36/36Release recency — latest release 17 days ago
27/27Release cadence — a release every ~3.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count6
latest_release_tagv0.77.3
releases_from_tagsno
days_since_latest_release17
mean_days_between_releases3.4
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?

74Good · 17% of overall
How it's scored
52/60Stars — 1,607 stars
15.6/25Forks — 75 forks
9.2/15Watchers — 46 watchers
Inputs used
forks75
stars1,607
watchers46
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

57Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3/22.5Commit distribution — top contributor authored 86% of commits
13.5/13.5Contributor breadth — 13 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled13
top_contributor_share0.865
How it's scored
18.5/42Issue resolution — 44% of issues closed
22.2/30PR acceptance — 34/46 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs34
open_issues19
closed_issues15
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.441
closed_unmerged_prs12
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
4.3/25Owner reach — 3 followers of nerevu
25/25Track record — 102 public repos, account ~11 yr old
Inputs used
followers3
owner_typeOrganization
is_verifiedno
owner_loginnerevu
public_repos102
account_age_days4,374

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 17 days ago
20/20Version history — 73 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesriko
ecosystemspypi
any_deprecatedno
min_days_since_publish17

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.ruff], [tool.pylint])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 10 topics
0/10Wiki
Inputs used
topicsstream-processing, etl, parallelism, rss, data, asynchronous, library, cli, functional-programming, featured
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no data
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 6 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 — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.8
Excluded from scoring (no data or not applicable): CI-Tests, CII-Best-Practices, Signed-Releases. 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_packages31
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:riko@0.77.3 runtime dependency closure — what installing the published package pulls in — 31 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.

67Good · 4% of overall
How it's scored
45/45Agent instructions — CLAUDE.md, _docs/gameplans/agents.md
0/15Machine-readable docs (llms.txt)
5.3/40Legible commit history — 10 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.1
agent_instruction_filesCLAUDE.md, _docs/gameplans/agents.md
agent_instruction_max_bytes30,907
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.ruff], [tool.pylint])
11/11Static type checking — pyrightconfig.json, riko/py.typed
10/10Reproducible environment — lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configspyrightconfig.json, riko/py.typed
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (pyrightconfig.json, riko/py.typed)
54.8/55Manageable file sizes — 1/224 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes64,632
source_files_sampled224
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

1,607GitHub stars
13contributors
474commits, last 12 months
0days since last push
6releases
1bus factor
19open 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 ★ / 75 ⇿
0Stars
75Forks

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.

025507574222016-072020-052024-03

Each point covers 8 days.

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-09-18 12:13 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
n/aCI-Testsno pull request found
n/aCII-Best-Practicesinternal error: error during http.Do: Get "https://www.bestpractices.dev/projects.json?url=https://github.com/nerevu/riko": Get "https://www.bestpractices.dev/projects.json?url=https://github.com/nerevu/riko": dial tcp 146.75.73.55:443: i/o timeout
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIbabel>=2.8.0,<3.0.0pyproject.toml
PyPIchardet>=3.0.4,<8.0.0pyproject.toml
PyPIclick>=8.4.0pyproject.toml
PyPIfeedparser>=5.2.1,<7.0.0pyproject.toml
PyPIhtml5lib>=1.0.1,<2.0.0pyproject.toml
PyPIjinja2>=3.1.6pyproject.toml
PyPImeza>=0.42.5pyproject.toml
PyPImezmorize>=0.27.0pyproject.toml
PyPInetworkx>=3.4.2pyproject.toml
PyPIpygogo>=0.12.0,<2.0.0pyproject.toml
PyPIpython-dateutil>=2.8.1,<3.0.0pyproject.toml
PyPIpython-slugify>=1.2.5pyproject.toml
PyPIpytz>=2019.3pyproject.toml
PyPIrequests>=2.22.0,<3.0.0pyproject.toml
All dependencies 110

Full resolved dependency set from the GitHub dependency graph: 14 direct and 96 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbabel2.18.0direct
PyPIchardet3.0.4direct
PyPIclick8.4.0direct
PyPIfeedparser6.0.12direct
PyPIhtml5lib1.1direct
PyPIjinja23.1.6direct
PyPImeza0.47.0direct
PyPImezmorize0.31.0direct
PyPInetworkx3.6.1direct
PyPIpygogo1.3.0direct
PyPIpython-dateutil2.9.0.post0direct
PyPIpython-slugify1.2.6direct
PyPIpytz2026.2direct
PyPIrequests2.34.2direct
PyPIanyio4.14.2indirect
PyPIastroid4.0.4indirect
PyPIasttokens3.0.1indirect
PyPIbeautifulsoup44.14.3indirect
PyPIcachelib0.14.0indirect
PyPIcertifi2026.4.22indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.0indirect
PyPIcryptography50.0.0indirect
PyPIcssselect1.5.0indirect
PyPIcsv2ofx0.34.2indirect
PyPIdbfread2.0.4indirect
PyPIdecorator5.3.1indirect
PyPIdill0.4.1indirect
PyPIdistlib0.4.3indirect
PyPIdocutils0.23indirect
PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
PyPIfastfeedparser0.6.0indirect
PyPIfilelock3.32.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIid1.6.1indirect
PyPIidentify2.6.19indirect
PyPIidna3.15indirect
PyPIijson3.5.1indirect
PyPIiniconfig2.3.0indirect
PyPIipython9.13.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIisort8.0.1indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjedi0.20.0indirect
PyPIjeepney0.9.0indirect
PyPIkeyring25.7.0indirect
PyPIlxml6.1.1indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPInh30.3.6indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIparso0.8.7indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.1indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpygments2.20.0indirect
PyPIpylint4.0.5indirect
PyPIpyright1.1.411indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-discovery1.5.0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer45.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIriko0.76.0indirect
PyPIruff0.15.13indirect
PyPIsecretstorage3.5.0indirect
PyPIsgmllib3k1.0.0indirect
PyPIsix1.17.0indirect
PyPIsoupsieve2.8.4indirect
PyPIstack-data0.6.3indirect
PyPItomlkit0.15.0indirect
PyPItraitlets5.15.0indirect
PyPItwine7.0.0indirect
PyPItypes-html5lib1.1.11.20260518indirect
PyPItypes-lxml2026.2.16indirect
PyPItypes-webencodings0.5.0.20260408indirect
PyPItyping-extensions4.15.0indirect
PyPIunidecode1.4.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.7.0indirect
PyPIwcwidth0.7.0indirect
PyPIwebencodings0.5.1indirect
PyPIwerkzeug3.1.8indirect
PyPIxlrd1.2.0indirect
Dependency advisories 0

Installing pypi:riko@0.77.3 pulls in 31 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.