Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 21:41 UTC

roboflow / rf-detr

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

PythonApache-2.0★ 8,948 stars⑂ 1,131 forkssince Mar 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

roboflow/rf-detr holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (91/100) and lowest on Security (70/100). It was last updated today. 2 contributors account for most of its recent work.

98
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.

98
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 86 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

RoboflowOrganization
5,251 followers170 public repossince Jul 2019

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIrfdetr1.9.2497,646551 day agomachine-learningdeep-learningvisionmldlaidetrrf-detrroboflow

Metrics by category

Vitality

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

91Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
27.7/36Commit cadence — 40/52 weeks with commits
18/18Commit volume — 728 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year728
human_commit_share0.99
days_since_last_push0
active_weeks_last_year40
How it's scored
27/27Ships releases — 26 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~9.8 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count26
latest_release_tag1.9.2
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases9.8

Community & Adoption

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

89Excellent · 17% of overall
How it's scored
60/60Stars — 8,948 stars
25/25Forks — 1,131 forks
10.4/15Watchers — 76 watchers
Inputs used
forks1,131
stars8,948
watchers76
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, codecov.io, shields.io
has_pull_request_templateyes
How it's scored
76/80Monthly downloads — 497,646 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesrfdetr
dependents
ecosystemspypi
total_downloads
monthly_downloads497,646
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?

85Excellent · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.8/22.5Commit distribution — top contributor authored 43% of commits
13.5/13.5Contributor breadth — 87 contributors
10/10OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled87
top_contributor_share0.432
How it's scored
37.4/42Issue resolution — 89% of issues closed
25.7/30PR acceptance — 569/665 decided PRs merged
12.3/13Newcomer PR acceptance — 33/35 first-time contributors' PRs merged in 30d
10.5/15OpenSSF Scorecard: Code-Review — Found 17/24 approved changesets -- score normalized to 7
Inputs used
merged_prs569
open_issues71
closed_issues578
prs_merged_7d26
prs_decided_7d28
prs_merged_30d50
prs_decided_30d52
issue_closed_ratio0.891
closed_unmerged_prs96
first_time_authors_30d9
first_time_prs_merged_30d33
first_time_prs_decided_30d35
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 5,251 followers of roboflow
25/25Track record — 170 public repos, account ~7 yr old
Inputs used
followers5,251
owner_typeOrganization
is_verified
owner_loginroboflow
public_repos170
account_age_days2,580
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 1 days ago
20/20Version history — 55 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesrfdetr
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall
How it's scored
24/24CI workflows — 13 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 28 out of 29 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://rfdetr.roboflow.com
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicscomputer-vision, detr, machine-learning, object-detection, rf-detr, instance-segmentation, sota
has_wikino
homepagehttps://rfdetr.roboflow.com
docs_sitehttps://rfdetr.roboflow.com
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
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 28 out of 29 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-Review — Found 17/24 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 22 contributing companies or organizations
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 — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
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 — 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_aggregate6.3

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_packages50
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:rfdetr@1.9.2 runtime dependency closure — what installing the published package pulls in — 50 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.

82Excellent · 4% of overall
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 97 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url
legible_history_share0.98
agent_instruction_files.github/copilot-instructions.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes15,412
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checking — src/rfdetr/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice — 69 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configssrc/rfdetr/py.typed
agent_commit_share0.69
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (src/rfdetr/py.typed)
51.3/55Manageable file sizes — 17/252 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes154,733
source_files_sampled252
oversized_source_files17
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 — notebooks
Inputs used
example_dirsnotebooks
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

8,948GitHub stars
87contributors
728commits, last 12 months
0days since last push
26releases
2bus factor
71open 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 ★ / 1,131 ⇿
0Stars
1,131Forks
26Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

02004006008001,0001,2001,131282025-042025-122026-08
Major 0Minor 9Patch 16

Each point covers 2 days.

OpenSSF Scorecard 6.3 / 10
6.3aggregate

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 · 2026-08-12 21:41 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests28 out of 29 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 17/24 approved changesets -- score normalized to 7
10Contributorsproject has 22 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
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
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 9
RegistryPackageVersion constraintManifest
PyPIrequestspyproject.toml
PyPInumpypyproject.toml
PyPItorch>=2.2.0pyproject.toml
PyPItorchvision>=0.17.0pyproject.toml
PyPItqdmpyproject.toml
PyPItransformers>=5.1.0,<6.0.0pyproject.toml
PyPIpydantic>=2.0,<3pyproject.toml
PyPIsupervision>=0.29.0pyproject.toml
PyPIpyDeprecate>=0.9,<0.10pyproject.toml
All dependencies 40

Full resolved dependency set from the GitHub dependency graph: 7 direct and 33 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpydirect
PyPIpydanticdirect
PyPIpydeprecatedirect
PyPIsupervisiondirect
PyPItorchdirect
PyPItorchvisiondirect
PyPItransformersdirect
PyPIalbumentationsindirect
PyPIbuildindirect
PyPIcoremltoolsindirect
PyPIfaster-coco-evalindirect
PyPIjsonargparseindirect
PyPIkorniaindirect
PyPImikeindirect
PyPImkdocs-git-committers-plugin-2indirect
PyPImkdocs-git-revision-date-localized-pluginindirect
PyPImkdocs-jupyterindirect
PyPImkdocs-materialindirect
PyPImkdocstringsindirect
PyPImkdocstrings-pythonindirect
PyPImypy1.19.1indirect
PyPIonnxindirect
PyPIonnxsimindirect
PyPIprotobufindirect
PyPIpycudaindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIpytest-doctestplusindirect
PyPIpytest-rerunfailuresindirect
PyPIpytest-timeoutindirect
PyPIpytest-xdistindirect
PyPIpytorch-lightningindirect
PyPIrfdetr-plusindirect
PyPIsetuptoolsindirect
PyPItensorboardindirect
PyPItensorrtindirect
PyPItorch-xlaindirect
PyPItorchmetricsindirect
PyPItwineindirect
PyPIwheelindirect
Dependency advisories 0

Installing pypi:rfdetr@1.9.2 pulls in 50 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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.