OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
AI Data & Analytics

LF AI & Data Landscape

LF AI & Data Landscape is a visual directory of open-source projects in AI and data, with categorized project listings and information such as GitHub activity and funding. Its repository provides the data and images used to generate the landscape; the separate landscape2 tool renders it.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

LF AI & Data Landscape — OpenViST project profile in AI Data & Analytics.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the landscape to scan categorized open-source AI and data projects or to contribute project data. For local generation, use the repository's documented landscape2 build-and-serve workflow.

Who it is for

  • People exploring open-source AI and data projects.
  • Project maintainers proposing listings or correcting landscape data.
  • Landscape contributors who need to generate a local version.

Documented uses

  • Browse projects across AI and data categories.
  • Review project details and repository activity presented in the landscape.
  • Propose a project listing or correct landscape data through a pull request.
  • Build and serve a local landscape using landscape2.
Before you choose

Requirements & limits

  • The repository holds landscape data and images; landscape2 is the separate software used to generate and serve the view.
  • The stated project-entry criteria include open-source status, GitHub hosting or mirroring, a fit with an existing category, and a named SVG logo.
  • LF AI & Data Member Company records are updated nightly and should be changed through the LFX Organization Dashboard rather than edited directly in the repository.
  • Crunchbase data and project logos have licensing terms distinct from the repository's Apache-2.0 materials.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Build and serve the landscape locally

Generate a local landscape from the repository data and serve the resulting build.

Before you start

  • The LF AI & Data Landscape repository, including landscape.yml and hosted_logos.
  • The landscape2 tool installed, following its installation instructions.

Steps

  1. Run landscape2 build --data-file landscape.yml --settings-url https://raw.githubusercontent.com/cncf/landscape2-sites/refs/heads/main/lfai/settings.yml --logos-path hosted_logos --output-dir build.

  2. Run landscape2 serve --landscape-dir build.

Expected outcome

A generated landscape in the build directory, served locally with landscape2.

Guide limitations

  • The repository points to landscape2 documentation for installation and further details.
  • Crunchbase data in the generated landscape is subject to separate Data Access Terms and is permitted only for use with LF AI & Data Landscape projects.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
7 October 2026
Original website title
lfai/lfai-landscape · Official homepage title · retained in its source language
How we review sourcesSuggest a correction