Flower website screenshot

Flower

Flower Labs builds infrastructure for collaborative, decentralized AI. Its flagship open-source project, Flower (the `flwr` framework), is a friendly, framework-agnostic federated AI framework that lets organizations train and fine-tune machine-learning models on distributed, privacy-sensitive data without moving it across organizational boundaries — with support for PyTorch, TensorFlow, Hugging Face, scikit-learn, JAX, XGBoost, and more. Flower Intelligence extends this to on-device inference (TypeScript/JavaScript, Kotlin, and Swift SDKs) that can hand off to a confidential remote-compute service when extra capacity is needed. Flower also runs SuperGrid (federated AI networks), Flower Hub, and a hosted control plane accessed via the flwr CLI. Flower Labs is backed by Felicis, Northzone, and Y Combinator.

Flower is profiled on the APIs.io network. Tagged areas include Company, Federated Learning, Federated AI, Machine Learning, and Artificial Intelligence.

Flower’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, signup flow, CLI, and 13 more developer resources.

🌐 Visit website 📡 Source on GitHub
31.0/100 thin ▬ flat Agent 10/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
0 APIs
CompanyFederated LearningFederated AIMachine LearningArtificial IntelligencePrivacySDKOn-Device AIConfidential ComputingOpen Source

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 31.0/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 13.0 / 20
Commercial Clarity 8.4 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 10/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/flower: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Flower Authentication

apiKey · 2 schemes

SECURITY

Flower Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Flower Trust Center

trust center published

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 SignUp
SignUp

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs
 CLI
CLI

Access & Security 3

Authentication, authorization, and security posture

TrustCenter
TrustCenter
 Authentication
Authentication
 DomainSecurity
DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support
Support
 Community
Community
 ChangeLog
ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy
PrivacyPolicy
 TermsOfService
TermsOfService

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: flower
name: Flower
description: Flower Labs builds infrastructure for collaborative, decentralized AI. Its flagship open-source project, Flower
  (the `flwr` framework), is a friendly, framework-agnostic federated AI framework that lets organizations train and fine-tune
  machine-learning models on distributed, privacy-sensitive data without moving it across organizational boundaries — with
  support for PyTorch, TensorFlow, Hugging Face, scikit-learn, JAX, XGBoost, and more. Flower Intelligence extends this to
  on-device inference (TypeScript/JavaScript, Kotlin, and Swift SDKs) that can hand off to a confidential remote-compute service
  when extra capacity is needed. Flower also runs SuperGrid (federated AI networks), Flower Hub, and a hosted control plane
  accessed via the flwr CLI. Flower Labs is backed by Felicis, Northzone, and Y Combinator.
url: https://raw.githubusercontent.com/api-evangelist/flower/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- felicis
- northzone
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
image: https://flower.ai/static/images/icon/apple-touch-icon.png
tags:
- Company
- Federated Learning
- Federated AI
- Machine Learning
- Artificial Intelligence
- Privacy
- SDK
- On-Device AI
- Confidential Computing
- Open Source
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://flower.ai
- type: DeveloperPortal
  url: https://flower.ai/docs/
- type: Documentation
  url: https://flower.ai/docs/
- type: APIReference
  url: https://flower.ai/docs/framework/ref-api/flwr.html
- type: GettingStarted
  url: https://flower.ai/docs/framework/
- type: GitHubOrganization
  url: https://github.com/flwrlabs
- type: Blog
  url: https://flower.ai/blog
- type: Support
  url: https://discuss.flower.ai
- type: Community
  url: https://flower.ai/join-slack
- type: SignUp
  url: https://flower.ai/intelligence
- type: PrivacyPolicy
  url: https://flower.ai/privacy
- type: TermsOfService
  url: https://flower.ai/legal/terms-of-service
- type: TrustCenter
  url: security/flower-trust-center.yml
- type: Packages
  url: packages/flower-packages.yml
- type: SDKs
  url: packages/flower-packages.yml
- type: CLI
  url: cli/flower-cli.yml
- type: ChangeLog
  url: changelog/flower-changelog.yml
- type: Authentication
  url: authentication/flower-authentication.yml
- type: DomainSecurity
  url: security/flower-domain-security.yml
- type: LLMsTxt
  url: llms/flower-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence