Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-04 04:48 UTC

Hebbian-Robotics / hflow

SDK for robotics teams to verify the quality of their data used for AI model training.

PythonApache-2.0★ 284 stars⑂ 161 forkssince Aug 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

Hebbian-Robotics/hflow holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (100/100) and lowest on Security (65/100). It was last updated today. 5 contributors account 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

32 followers21 public repossince Apr 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIhflow0.2.202,091240 days agoairflowdata-pipelinedata-qualitydataset-curationmcapphysical-airobotics

Metrics by category

Vitality

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

75Good · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
4.8/36Commit cadence — 7/52 weeks with commits
18/18Commit volume — 409 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year409
human_commit_share0.98
days_since_last_push0
active_weeks_last_year7

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 21 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~1.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count21
latest_release_tagv0.2.20
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.7
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?

69Good · 17% of overall
How it's scored
39.8/60Stars — 284 stars
18.4/25Forks — 161 forks
0/15Watchers — 2 watchers
Inputs used
forks161
stars284
watchers2
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 (Apache-2.0)
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_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
44.3/80Monthly downloads — 2,091 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageshflow
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,091
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?

80Excellent · 23% of overall
How it's scored
45.9/54Bus factor — 5 contributor(s) cover half of all commits
15.4/22.5Commit distribution — top contributor authored 31% of commits
13.5/13.5Contributor breadth — 95 contributors
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Inputs used
bus_factor5
contributors_sampled95
top_contributor_share0.314
How it's scored
41.2/42Issue resolution — 98% of issues closed
24.2/30PR acceptance — 314/390 decided PRs merged
13/13Newcomer PR acceptance — 4/4 first-time contributors' PRs merged in 30d
9/15OpenSSF Scorecard: Code-Review — Found 20/29 approved changesets -- score normalized to 6
Inputs used
merged_prs314
open_issues5
closed_issues278
prs_merged_7d21
prs_decided_7d30
prs_merged_30d45
prs_decided_30d59
issue_closed_ratio0.982
closed_unmerged_prs76
first_time_authors_30d4
first_time_prs_merged_30d4
first_time_prs_decided_30d4
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.9/25Owner reach — 32 followers of Hebbian-Robotics
10.7/25Track record — 21 public repos, account ~0 yr old
Inputs used
followers32
owner_typeOrganization
is_verifiedno
owner_loginHebbian-Robotics
public_repos21
account_age_days175

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

Engineering Quality

Are baseline engineering and documentation practices in place?

100Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://hebbianrobotics.com
10/10Repository description
10/10Topics — 17 topics
10/10Wiki
Inputs used
topicsairflow, data-pipeline, data-quality, dataset-curation, duckdb, foxglove, mcap, parquet, physical-ai, robot-learning, robotics, data-engineering, python, robotics-data, lerobot, multimodal, rerun
has_wikiyes
homepagehttps://hebbianrobotics.com
docs_sitehttps://hebbianrobotics.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

65Good · 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
2.5/2.5CI-Tests — 26 out of 26 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
4.5/7.5Code-Review — Found 20/29 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 10 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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.5
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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.

82Excellent · 4% of overall
How it's scored
18/45Agent instructions — AGENTS.md, CLAUDE.md (stub)
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://hebbianrobotics.com/llms.txt)
40/40Legible commit history — 85 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://hebbianrobotics.com/llms.txt
legible_history_share0.867
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes43
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/hflow/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 9 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/hflow/py.typed
agent_commit_share0.09
toolchain_manifests—
dependency_bot_commit_share0.02
How it's scored
27/45Type-checkable code — Python with type-check config (src/hflow/py.typed)
53.6/55Manageable file sizes — 7/270 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes144,825
source_files_sampled270
oversized_source_files7
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — references/foxglove-CompressedVideo.proto
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_filesreferences/foxglove-CompressedVideo.proto
interfaces_expected_of—
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

284GitHub stars
95contributors
409commits, last 12 months
0days since last push
21releases
5bus factor
5open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 16 authors (cap 12)
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:hflow@0.2.20; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 161 ⇿
0Stars
161Forks
20Releases

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.

04080120160200161342026-082026-092026-10
Major 0Minor 1Patch 19
OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 · 2026-10-04 04:48 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 20/29 approved changesets -- score normalized to 6
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIduckdb>=1.5.5pyproject.toml
PyPIfoxglove-schemas-protobuf>=0.4.0pyproject.toml
PyPIhttpx>=0.28.1,<1pyproject.toml
PyPIhttpx2>=2.12.0pyproject.toml
PyPIhuggingface-hub>=1.31.0,<2pyproject.toml
PyPImcap>=1.4.0pyproject.toml
PyPImcap-protobuf-support>=0.5.4pyproject.toml
PyPImcap-ros2-support>=0.5.7pyproject.toml
PyPInumpy>=2.3.5pyproject.toml
PyPIplatformdirs>=4.11.3pyproject.toml
PyPIpydantic>=2.13.4pyproject.toml
PyPItenacity>=9.1.4pyproject.toml
PyPItyper>=0.27.2pyproject.toml
PyPIzstandard>=0.25.0pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

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.