Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-08 13:58 UTC

RasaHQ / rasa-sdk

SDK for the development of custom actions for Rasa

PythonApache-2.0★ 319 stars⑂ 236 forkssince Jun 2018View on GitHub ↗
KindLibraryNetwork servicehow this is determined

RasaHQ/rasa-sdk holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Sustainability & Governance (94/100) and lowest on Security (68/100). It was last updated today. 7 contributors account for most of its recent work.

95
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.

95
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02).

Ownership

RasaOrganization · verified domain
1,092 followers219 public repossince Aug 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIrasa-sdk3.20.1283,16218214 days agonlpmachine-learningmachine-learning-librarybotbotsbotkitrasa-conversational-agentsconversational-aichatbotchatbot-frameworkbot-framework

Metrics by category

Vitality

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

92Excellent · 21% of overall

Development activity

86Excellent
How it's scored
36/36Push recency — last push 0 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 154 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year154
human_commit_share0.96
days_since_last_push0
active_weeks_last_year32

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 14 days ago
27/27Release cadence — a release every ~5.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag3.19.1
releases_from_tagsno
days_since_latest_release14
mean_days_between_releases5.5
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?

70Good · 17% of overall

Popularity & adoption

69Good
How it's scored
40.6/60Stars — 319 stars
19.8/25Forks — 236 forks
8.3/15Watchers — 32 watchers
Inputs used
forks236
stars319
watchers32
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

57Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescoveralls.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

91Excellent
How it's scored
72.7/80Monthly downloads — 283,162 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesrasa-sdk
dependents—
ecosystemspypi
total_downloads—
monthly_downloads283,162
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?

94Exceptional · 23% of overall

Maintainer resilience (bus factor)

95Exceptional
How it's scored
51.3/54Bus factor — 7 contributor(s) cover half of all commits
20.2/22.5Commit distribution — top contributor authored 10% of commits
13.5/13.5Contributor breadth — 80 contributors
10/10OpenSSF Scorecard: Contributors — project has 18 contributing companies or organizations
Inputs used
bus_factor7
contributors_sampled80
top_contributor_share0.101

Issue & PR responsiveness

85Excellent
How it's scored
41.3/42Issue resolution — 98% of issues closed
17.8/30PR acceptance — 734/1,238 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_prs734
open_issues3
closed_issues184
prs_merged_7d16
prs_decided_7d16
prs_merged_30d27
prs_decided_30d27
issue_closed_ratio0.984
closed_unmerged_prs504
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.

Ownership & stewardship

97Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
21.8/25Owner reach — 1,092 followers of RasaHQ
25/25Track record — 219 public repos, account ~10 yr old
Inputs used
followers1,092
owner_typeOrganization
is_verifiedyes
owner_loginRasaHQ
public_repos219
account_age_days3,697

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 14 days ago
20/20Version history — 182 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesrasa-sdk
ecosystemspypi
any_deprecatedno
min_days_since_publish14

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 13 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 15 out of 15 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

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://rasa.com/docs
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://rasa.com/docs
docs_sitehttps://rasa.com/docs
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

68Good · 16% of overall

Security posture

66Good
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 — 15 out of 15 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 18 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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
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 — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.6
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

76Good
How it's scored
16.8/35Direct dependencies free of known advisories — 1 affected: sanic-cors 2.2.0 (moderate 6.5)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
34.4/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 124 days ago
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages39
unassessed_packages0
affected_by_severitymoderate 1
direct_affected_packages1
Matched the pypi:rasa-sdk@3.20.1 runtime dependency closure — what installing the published package pulls in — 39 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.

71Good · 4% of overall

Agent context & guidance

55Moderate
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://rasa.com/llms.txt)
40/40Legible commit history — 75 of 96 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://rasa.com/llms.txt
legible_history_share0.781
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

86Excellent
How it's scored
18/18One-command bootstrap — Makefile, certs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 25 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, certs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.25
toolchain_manifests—
dependency_bot_commit_share0.03

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/70 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes36,841
source_files_sampled70
oversized_source_files0

Machine-readable interfaces

80Excellent
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — proto/action_webhook.proto
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_filesproto/action_webhook.proto
interfaces_expected_ofnetwork-service

Key facts

319GitHub stars
80contributors
154commits, last 12 months
0days since last push
100releases
7bus factor
3open 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 ★ / 236 ⇿
0Stars
236Forks
100Releases

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.

0408012016020024022242018-092022-092026-10
Major 1Minor 19Patch 33

Each point covers 8 days.

OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 · 2026-10-08 13:58 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-Tests15 out of 15 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 18 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 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIcoloredlogs>=10,<16pyproject.toml
PyPIsanic~25.12pyproject.toml
PyPItyping-extensions~4.16.0pyproject.toml
PyPIruamel.yaml~0.19.1pyproject.toml
PyPIwebsockets>=10.0,<16pyproject.toml
PyPIpluggy^1.0.0pyproject.toml
PyPIpydantic~2.13.4pyproject.toml
PyPIgrpcio-health-checking~1.84.0pyproject.toml
PyPIopentelemetry-sdk~1.45.0pyproject.toml
PyPIopentelemetry-exporter-otlp~1.45.0pyproject.toml
PyPIopentelemetry-api~1.45.0pyproject.toml
PyPIgrpcio~1.84.0pyproject.toml
PyPIprotobuf~7.36.0pyproject.toml
PyPIgrpcio-tools~1.83.0pyproject.toml
All dependencies 80

Full resolved dependency set from the GitHub dependency graph: 14 direct and 66 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcoloredlogs15.0.1direct
PyPIgrpcio1.84.0direct
PyPIgrpcio-health-checking1.84.0direct
PyPIgrpcio-tools1.83.1direct
PyPIopentelemetry-api1.45.0direct
PyPIopentelemetry-exporter-otlp1.45.0direct
PyPIopentelemetry-sdk1.45.0direct
PyPIpluggy1.6.0direct
PyPIprotobuf7.36.2direct
PyPIpydantic2.13.5direct
PyPIruamel-yaml0.19.1direct
PyPIsanic25.12.1direct
PyPItyping-extensions4.16.0direct
PyPIwebsockets15.0.1direct
PyPIaiofiles25.1.0indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.14.2indirect
PyPIast-serialize0.12.1indirect
PyPIcertifi2026.7.22indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.4indirect
PyPIcoveralls4.1.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIh110.16.0indirect
PyPIhtml5tagger2.0.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.8.0indirect
PyPIhttpx0.28.1indirect
PyPIhumanfriendly10.0indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.16.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImultidict6.7.1indirect
PyPImypy2.4.0indirect
PyPImypy-extensions1.1.0indirect
PyPIopentelemetry-exporter-http-transport0.66b0indirect
PyPIopentelemetry-exporter-otlp-common0.66b0indirect
PyPIopentelemetry-exporter-otlp-proto-common1.45.0indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.45.0indirect
PyPIopentelemetry-exporter-otlp-proto-http1.45.0indirect
PyPIopentelemetry-proto1.45.0indirect
PyPIopentelemetry-semantic-conventions0.66b0indirect
PyPIpackaging24.2indirect
PyPIpathspec1.1.1indirect
PyPIpep440-version-utils1.2.0indirect
PyPIprompt-toolkit3.0.36indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.20.0indirect
PyPIpyreadline33.5.6indirect
PyPIpytest7.4.4indirect
PyPIpytest-asyncio0.23.8indirect
PyPIpytest-cov5.0.0indirect
PyPIquestionary2.1.1indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIruff0.15.22indirect
PyPIsanic-routing23.12.0indirect
PyPIsanic-testing24.6.0indirect
PyPIsemantic-version2.10.0indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItowncrier25.8.0indirect
PyPItracerite2.6.3indirect
PyPItyper0.27.1indirect
PyPItypes-protobuf7.35.1.20260906indirect
PyPItyping-inspection0.4.2indirect
PyPIujson5.13.0indirect
PyPIurllib32.7.0indirect
PyPIuvloop0.22.1indirect
PyPIwcwidth0.8.2indirect
Dependency advisories 1

Installing pypi:rasa-sdk@3.20.1 pulls in 39 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
sanic-cors2.2.0directmoderate2—

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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with RasaHQ/rasa-sdk. Read them side by side →

96vercel/chatA unified TypeScript SDK for building chat bots across Slack, Microsoft Teams, Google Chat, Discord, and more.Exceptional100huggingface/transformers🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. Exceptional98python-telegram-bot/python-telegram-botWe have made you a wrapper you can't refuseExceptional98Unstructured-IO/unstructuredConvert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.Exceptional98huggingface/datasets🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation toolsExceptional97modelscope/modelscopeModelScope: bring the notion of Model-as-a-Service to life.Exceptional

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.