LF AI and Data website screenshot

LF AI and Data

The LF AI & Data Foundation is a Linux Foundation umbrella that advances open source artificial intelligence, machine learning, and data projects. It hosts 80+ projects spanning graduated, incubation, and sandbox stages, including ONNX, Milvus, Horovod, Flyte, Kedro, Pyro, Egeria, OpenLineage, Marquez, and the Adversarial Robustness Toolbox, fostering scalable, trustworthy, and interoperable AI and data solutions.

LF AI and Data publishes 11 APIs on the APIs.io network. Tagged areas include Artificial Intelligence, Machine-Learning, Data, Linux Foundation, and Open-Source.

LF AI and Data’s developer surface includes documentation, engineering blog, and 11 more developer resources.

17.2/100 emerging ▬ flat Agent 3/100 human only Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0
AccessFreemium
11 APIs
Artificial IntelligenceMachine-LearningDataLinux FoundationOpen-SourceMLOpsVector Database

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0
Composite quality — 17.2/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 2.4 / 20
Access Clarity 3.2 / 20
Operational Transparency 5.1 / 13
Contract Governance 0.0 / 12
Discoverability 6.5 / 10
Agent readiness — 3/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Surface 0 / 5
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/lf-ai-and-data: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 11

Individual APIs this provider publishes, each with its own machine-readable definition.

ONNX

Open Neural Network Exchange (ONNX) is an open format for representing deep learning models, enabling interoperability between AI frameworks.

Milvus

Milvus is an open source vector database built for scalable similarity search, supporting embedding-based AI applications.

Horovod

Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Flyte

Flyte is a production-grade, cloud-native workflow orchestration platform for data and machine learning processes.

Kedro

Kedro is a Python framework for creating reproducible, maintainable, and modular data science code.

OpenLineage

OpenLineage is an open standard and API for collecting lineage metadata across data pipelines.

Marquez

Marquez is an open source metadata service for the collection, aggregation, and visualization of a data ecosystem's metadata.

Egeria

Egeria is the world's first open source metadata standard for enterprise data management, enabling unified governance and discovery.

Adversarial Robustness Toolbox

ART (Adversarial Robustness Toolbox) provides tools for evaluating and defending machine learning models against adversarial threats.

Delta Lake

Delta Lake is an open source storage layer that brings ACID transactions and reliability to data lakes.

Feast

Feast is an open source feature store for machine learning, providing consistent feature serving across training and inference.

Scroll for all 11

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Lf Ai And Data Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Security Posture 1

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

Lf Ai And Data Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Documentation 2

Reference material describing how the API behaves

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: lf-ai-and-data
name: LF AI and Data
description: The LF AI & Data Foundation is a Linux Foundation umbrella that advances open source artificial intelligence,
  machine learning, and data projects. It hosts 80+ projects spanning graduated, incubation, and sandbox stages, including
  ONNX, Milvus, Horovod, Flyte, Kedro, Pyro, Egeria, OpenLineage, Marquez, and the Adversarial Robustness Toolbox, fostering
  scalable, trustworthy, and interoperable AI and data solutions.
type: Index
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
position: Consumer
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/lf-ai-and-data.png
tags:
- Artificial Intelligence
- Machine-Learning
- Data
- Linux Foundation
- Open-Source
- MLOps
- Vector Database
tags_raw:
- Artificial Intelligence
- Machine Learning
- Data
- Linux Foundation
- Open Source
- MLOps
- Vector Database
created: '2026-03-16'
modified: '2026-04-28'
url: https://raw.githubusercontent.com/api-evangelist/lf-ai-and-data/refs/heads/main/apis.yml
specificationVersion: '0.23'
apis:
- aid: lf-ai-and-data:onnx
  name: ONNX
  description: Open Neural Network Exchange (ONNX) is an open format for representing deep learning models, enabling interoperability
    between AI frameworks.
  humanURL: https://onnx.ai/
  tags:
  - Artificial Intelligence
  - Machine-Learning
  - Model Format
  - Interoperability
  tags_raw:
  - AI
  - Machine Learning
  - Model Format
  - Interoperability
  properties:
  - type: Documentation
    url: https://onnx.ai/
  - type: GitHubRepo
    url: https://github.com/onnx/onnx
- aid: lf-ai-and-data:milvus
  name: Milvus
  description: Milvus is an open source vector database built for scalable similarity search, supporting embedding-based AI
    applications.
  humanURL: https://milvus.io/
  tags:
  - Vector Database
  - Artificial Intelligence
  - Search
  tags_raw:
  - Vector Database
  - AI
  - Search
  properties:
  - type: Documentation
    url: https://milvus.io/docs
  - type: GitHubRepo
    url: https://github.com/milvus-io/milvus
- aid: lf-ai-and-data:horovod
  name: Horovod
  description: Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  humanURL: https://horovod.ai/
  tags:
  - Deep Learning
  - Distributed Training
  - GPU
  properties:
  - type: Documentation
    url: https://horovod.readthedocs.io/
  - type: GitHubRepo
    url: https://github.com/horovod/horovod
- aid: lf-ai-and-data:flyte
  name: Flyte
  description: Flyte is a production-grade, cloud-native workflow orchestration platform for data and machine learning processes.
  humanURL: https://flyte.org/
  tags:
  - Workflow Orchestration
  - MLOps
  - Cloud-Native
  tags_raw:
  - Workflow Orchestration
  - MLOps
  - Cloud Native
  properties:
  - type: Documentation
    url: https://docs.flyte.org/
  - type: GitHubRepo
    url: https://github.com/flyteorg/flyte
- aid: lf-ai-and-data:kedro
  name: Kedro
  description: Kedro is a Python framework for creating reproducible, maintainable, and modular data science code.
  humanURL: https://kedro.org/
  tags:
  - Data Science
  - Python
  - Pipelines
  properties:
  - type: Documentation
    url: https://docs.kedro.org/
  - type: GitHubRepo
    url: https://github.com/kedro-org/kedro
- aid: lf-ai-and-data:openlineage
  name: OpenLineage
  description: OpenLineage is an open standard and API for collecting lineage metadata across data pipelines.
  humanURL: https://openlineage.io/
  tags:
  - Data Lineage
  - Metadata
  - Standards
  properties:
  - type: Documentation
    url: https://openlineage.io/docs/
  - type: GitHubRepo
    url: https://github.com/OpenLineage/OpenLineage
- aid: lf-ai-and-data:marquez
  name: Marquez
  description: Marquez is an open source metadata service for the collection, aggregation, and visualization of a data ecosystem's
    metadata.
  humanURL: https://marquezproject.ai/
  tags:
  - Metadata
  - Data Ecosystem
  - Lineage
  properties:
  - type: Documentation
    url: https://marquezproject.ai/docs/
  - type: GitHubRepo
    url: https://github.com/MarquezProject/marquez
- aid: lf-ai-and-data:egeria
  name: Egeria
  description: Egeria is the world's first open source metadata standard for enterprise data management, enabling unified
    governance and discovery.
  humanURL: https://egeria-project.org/
  tags:
  - Metadata
  - Data Governance
  - Enterprise
  properties:
  - type: Documentation
    url: https://egeria-project.org/
  - type: GitHubRepo
    url: https://github.com/odpi/egeria
- aid: lf-ai-and-data:adversarial-robustness-toolbox
  name: Adversarial Robustness Toolbox
  description: ART (Adversarial Robustness Toolbox) provides tools for evaluating and defending machine learning models against
    adversarial threats.
  humanURL: https://adversarial-robustness-toolbox.readthedocs.io/
  tags:
  - AI Security
  - Machine-Learning
  - Adversarial
  tags_raw:
  - AI Security
  - Machine Learning
  - Adversarial
  properties:
  - type: Documentation
    url: https://adversarial-robustness-toolbox.readthedocs.io/
  - type: GitHubRepo
    url: https://github.com/Trusted-AI/adversarial-robustness-toolbox
- aid: lf-ai-and-data:delta-lake
  name: Delta Lake
  description: Delta Lake is an open source storage layer that brings ACID transactions and reliability to data lakes.
  humanURL: https://delta.io/
  tags:
  - Data Lake
  - ACID
  - Storage
  properties:
  - type: Documentation
    url: https://docs.delta.io/
  - type: GitHubRepo
    url: https://github.com/delta-io/delta
- aid: lf-ai-and-data:feast
  name: Feast
  description: Feast is an open source feature store for machine learning, providing consistent feature serving across training
    and inference.
  humanURL: https://feast.dev/
  tags:
  - Feature Store
  - Machine-Learning
  - MLOps
  tags_raw:
  - Feature Store
  - Machine Learning
  - MLOps
  properties:
  - type: Documentation
    url: https://docs.feast.dev/
  - type: GitHubRepo
    url: https://github.com/feast-dev/feast
common:
- type: IssueTracker
  url: https://github.com/onnx/onnx/issues
- type: Releases
  url: https://github.com/onnx/onnx/releases
- type: SecurityPolicy
  url: https://github.com/onnx/onnx/blob/main/SECURITY.md
- type: CodeOfConduct
  url: https://github.com/onnx/onnx/blob/main/CODE_OF_CONDUCT.md
- type: ContributionGuide
  url: https://github.com/onnx/onnx/blob/main/CONTRIBUTING.md
- type: License
  name: Apache-2.0
  url: https://github.com/onnx/onnx/blob/main/LICENSE
- type: DomainSecurity
  url: security/lf-ai-and-data-domain-security.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/lfai
- type: Documentation
  name: LF AI and Data Documentation
  description: Official documentation for LF AI and Data.
  url: https://lfaidata.foundation/projects/
- type: GitHubOrg
  name: LF AI and Data GitHub
  description: Source code and repositories for LF AI and Data.
  url: https://github.com/lfai
- type: Website
  name: LF AI and Data Website
  description: Main LF AI and Data Foundation website.
  url: https://lfaidata.foundation/
- type: ProjectsList
  name: LF AI and Data Projects List
  description: Comprehensive list of all LF AI and Data hosted projects.
  url: https://lfaidata.foundation/projects/
- type: Blog
  url: https://lfaidata.foundation/feed/
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com

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