Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-23 21:25 UTC

roboto-ai / roboto-python-sdk

Data Analytics for Robotics and Physical AI

PythonMPL-2.0★ 58 stars⑂ 2 forkssince Jul 2024View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

roboto-ai/roboto-python-sdk holds a health index of 65 out of 100, placing it in the Good band. It scores highest on Vitality (86/100) and lowest on Security (43/100). It was last updated today. A single contributor accounts for most of its recent work.

65
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.

65
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 60 is calibrated to 65 on the published index scale (record calibration 2026-08-02).

Ownership

RobotoOrganization
32 followers20 public repossince Mar 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIroboto0.62.08,4661730 days ago

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
21.5/36Commit cadence — 31/52 weeks with commits
16.3/18Commit volume — 65 commits in the last year
10/10OpenSSF Scorecard: Maintained — 18 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year65
human_commit_share1
days_since_last_push0
active_weeks_last_year31
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~9.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv0.61.0
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases9.4

Community & Adoption

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

47Weak · 17% of overall
How it's scored
28.5/60Stars — 58 stars
0/25Forks — 2 forks
3.3/15Watchers — 5 watchers
Inputs used
forks2
stars58
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MPL-2.0)
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
52.4/80Monthly downloads — 8,466 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesroboto
dependents—
ecosystemspypi
total_downloads—
monthly_downloads8,466
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?

61Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7/22.5Commit distribution — top contributor authored 69% of commits
8.1/13.5Contributor breadth — 6 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.689
How it's scored
42/42Issue resolution — 100% of issues closed
27.3/30PR acceptance — 10/11 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/26 approved changesets -- score normalized to 0
Inputs used
merged_prs10
open_issues0
closed_issues1
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d3
issue_closed_ratio1
closed_unmerged_prs1
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.9/25Owner reach — 32 followers of roboto-ai
18.9/25Track record — 20 public repos, account ~4 yr old
Inputs used
followers32
owner_typeOrganization
is_verifiedno
owner_loginroboto-ai
public_repos20
account_age_days1,692

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 — 173 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesroboto
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

59Moderate · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 4 merged PRs checked by a CI test -- score normalized to 0
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 site — https://roboto.ai
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsrobotics, ardupilot, mcap, px4, ros, ros2, data-analytics, physical-ai
has_wikiyes
homepagehttps://roboto.ai
docs_sitehttps://roboto.ai
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

43Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — 0 out of 4 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 2/26 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 18 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
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4
How it's scored
12.4/35Direct dependencies free of known advisories — 2 affected: urllib3 2.6.3 (high 7.5), pydantic-settings 2.13.1 (moderate 5.3)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
30.3/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 165 days ago
Inputs used
sourceosv
advisories120
affected_packages18
assessed_packages123
unassessed_packages37
affected_by_severitycritical 5, high 6, moderate 6, low 1
direct_affected_packages2
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 123 resolved dependencies against OSV. 37 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.

49Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.roboto.ai/llms.txt)
5.3/40Legible commit history — 10 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.roboto.ai/llms.txt
legible_history_share0.1
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — src/roboto/py.typed
0/10Reproducible environment
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configssrc/roboto/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 (src/roboto/py.typed)
54.6/55Manageable file sizes — 3/436 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes75,132
source_files_sampled436
oversized_source_files3
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, notebooks
Inputs used
example_dirsexamples, notebooks
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

58GitHub stars
6contributors
65commits, last 12 months
0days since last push
100releases
1bus factor
0open 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:roboto@0.62.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 2 ⇿
0Stars
2Forks
53Releases

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.

111222212025-062026-012026-09
Major 0Minor 31Patch 20

Each point covers 2 days.

OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 · 2026-10-23 21:25 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 4 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/26 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained18 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 19
RegistryPackageVersion constraintManifest
PyPIboto3>=1.36pyproject.toml
PyPIbotocore>=1.36pyproject.toml
PyPIcookiecutter>=2.5.0pyproject.toml
PyPIcron-converter>=1.2.1pyproject.toml
PyPIexceptiongroup>=1.0pyproject.toml
PyPIfilelock~=3.15pyproject.toml
PyPImcap>=1.3.0pyproject.toml
PyPIpackaging>=24.0pyproject.toml
PyPIpathspec>=0.11pyproject.toml
PyPIplatformdirs>=4.0pyproject.toml
PyPIpydantic>=2.5pyproject.toml
PyPIpydantic-core>=2.14pyproject.toml
PyPIpydantic-settings>=2.1pyproject.toml
PyPIrich>=14.2pyproject.toml
PyPIroboto-mcap-codec>=0.3,<0.4pyproject.toml
PyPItenacity>=8.2pyproject.toml
PyPItqdm>=4.65pyproject.toml
PyPItruststore>=0.10pyproject.toml
PyPIurllib3>=2.0pyproject.toml
All dependencies 160

Full resolved dependency set from the GitHub dependency graph: 29 direct and 131 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIboto3—direct
PyPIbotocore—direct
PyPIcookiecutter—direct
PyPIcron-converter—direct
PyPIexceptiongroup1.3.1direct
PyPIfilelock—direct
PyPIfilelock3.25.2direct
PyPImcap—direct
PyPIpackaging—direct
PyPIpackaging26.0direct
PyPIpathspec—direct
PyPIplatformdirs—direct
PyPIplatformdirs4.9.4direct
PyPIpydantic—direct
PyPIpydantic2.12.5direct
PyPIpydantic-core—direct
PyPIpydantic-core2.41.5direct
PyPIpydantic-settings—direct
PyPIpydantic-settings2.13.1direct
PyPIrich—direct
PyPIrich14.3.3direct
PyPIroboto-mcap-codec—direct
PyPItenacity—direct
PyPItenacity9.1.4direct
PyPItqdm—direct
PyPItqdm4.67.3direct
PyPItruststore—direct
PyPIurllib3—direct
PyPIurllib32.6.3direct
PyPIaiofile3.9.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIattrs25.4.0indirect
PyPIauthlib1.6.9indirect
PyPIav—indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbcrypt5.0.0indirect
PyPIbeartype0.22.9indirect
PyPIbuild1.4.0indirect
PyPIcachetools7.0.5indirect
PyPIcaio0.9.25indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.6indirect
PyPIchromadb1.5.5indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcryptography46.0.5indirect
PyPIcyclopts4.10.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIdocutils0.22.4indirect
PyPIdurationpy0.10indirect
PyPIemail-validator2.3.0indirect
PyPIfastmcp3.1.1indirect
PyPIflatbuffers25.12.19indirect
PyPIfsspec—indirect
PyPIfsspec2026.2.0indirect
PyPIgoogleapis-common-protos1.73.0indirect
PyPIgrpcio1.78.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.4.2indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.7.1indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIhuggingface-hub1.7.1indirect
PyPIidna3.11indirect
PyPIimportlib-metadata8.7.1indirect
PyPIimportlib-resources6.5.2indirect
PyPIipython—indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.1indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.4.5indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter—indirect
PyPIkeyring25.7.0indirect
PyPIknowledge-base-roboto0.1.0indirect
PyPIkubernetes35.0.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImatplotlib—indirect
PyPImcp1.26.0indirect
PyPImdurl0.1.2indirect
PyPImmh35.2.1indirect
PyPImore-itertools10.8.0indirect
PyPImpmath1.3.0indirect
PyPImypy1.15indirect
PyPInumpy—indirect
PyPInumpy2.4.3indirect
PyPIoauthlib3.3.1indirect
PyPIonnxruntime1.24.4indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.40.0indirect
PyPIopentelemetry-exporter-otlp-proto-common1.40.0indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.40.0indirect
PyPIopentelemetry-proto1.40.0indirect
PyPIopentelemetry-sdk1.40.0indirect
PyPIopentelemetry-semantic-conventions0.61b0indirect
PyPIorjson—indirect
PyPIorjson3.11.7indirect
PyPIoverrides7.7.0indirect
PyPIpandas—indirect
PyPIpandas-stubs—indirect
PyPIpathable0.5.0indirect
PyPIpillow—indirect
PyPIprotobuf6.33.5indirect
PyPIpy-key-value-aio0.4.4indirect
PyPIpyarrow—indirect
PyPIpyarrow-stubs—indirect
PyPIpybase641.4.3indirect
PyPIpycparser3.0indirect
PyPIpygithub—indirect
PyPIpygments2.19.2indirect
PyPIpyjwt2.12.1indirect
PyPIpyperclip1.11.0indirect
PyPIpypika0.51.1indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-xdist—indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.22indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.32.5indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrich-rst1.3.2indirect
PyPIrpds-py0.30.0indirect
PyPIruff—indirect
PyPIsecretstorage3.5.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsse-starlette3.3.3indirect
PyPIstarlette0.52.1indirect
PyPIstumpy—indirect
PyPIsympy1.14.0indirect
PyPItestcontainers—indirect
PyPItokenizers0.22.2indirect
PyPItree-sitter0.25.2indirect
PyPItree-sitter-javascript0.25.0indirect
PyPItree-sitter-typescript0.23.2indirect
PyPItyper0.24.1indirect
PyPItypes-requests2.31.0.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.2.0indirect
PyPIuvicorn0.42.0indirect
PyPIuvloop0.22.1indirect
PyPIwatchfiles1.1.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 18

This repository publishes no package the index resolves, so its own dependency graph was assessed — 123 packages, which also include development and test pins that never ship: 18 carry known advisories, of which 2 are direct. 37 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
anyio4.12.1indirectcritical44.14.2
chromadb1.5.5indirectcritical8—
cryptography46.0.5indirectcritical1150.0.0
fastmcp3.1.1indirectcritical63.2.0
pyjwt2.12.1indirectcritical302.15.0
urllib32.6.3directhigh102.8.0
certifi2026.2.25indirecthigh22026.10.19
fsspec2026.2.0indirecthigh22026.6.0
mcp1.26.0indirecthigh72.2.0
python-multipart0.0.22indirecthigh120.0.31
starlette0.52.1indirecthigh101.3.1
pydantic-settings2.13.1directmoderate12.14.2
authlib1.6.9indirectmoderate61.7.1
idna3.11indirectmoderate23.15
oauthlib3.3.1indirectmoderate44.0.0
opentelemetry-api1.40.0indirectmoderate11.45.1
requests2.32.5indirectmoderate22.33.0
pygments2.19.2indirectlow22.20.0

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.