Ludwig

AI Frameworks, Tools & Libraries

Ludwig is an open-source, declarative machine learning framework that allows users to train and test models without writing code.

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Ludwig is an open-source framework that lets users train and test machine learning models by writing a YAML config file instead of code.

Ludwig is an open-source, declarative machine learning framework that allows users to train and test models without writing code. It was created by Piero Molino, who previously worked at Uber AI Labs, and is maintained under the GitHub organization ludwig-ai. The project has accumulated 11,700 stars and over 1,200 forks, with its most recent release (v0.17.5) in May 2026.

Ludwig is not a company; it has no headquarters, no employees, no revenue, and no funding rounds. It is a community-driven software project. The framework is designed to simplify ML workflows by using a YAML-based configuration file to define input and output features, model architecture, and training parameters.

It supports a wide range of data types including text, image, audio, and tabular data, and integrates with PyTorch. The project's development activity is ongoing, with recent commits focused on dependency updates and toolchain migrations. There is no evidence of a commercial entity behind Ludwig; the GitHub repository does not list a company name, and no press releases, SEC filings, or independent news articles reference a Ludwig company in the context of this open-source project.

A separate publicly traded entity, Ludwig Enterprises (ticker LUDG), is an unrelated biotechnology firm with no connection to the ML framework. The Ludwig ML project remains a free, open-source tool with no known paid products, enterprise support, or customer base.

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Who buys this

  • Data scientists and ML engineers who want to prototype models quickly without writing boilerplate code
  • Researchers and academics experimenting with different model architectures and hyperparameters
  • Students and educators teaching machine learning concepts with a low-code interface
  • Hobbyists and independent developers building personal projects or small-scale ML applications

Strengths and what to watch

Strengths

  • Declarative interface reduces the barrier to entry for users with limited programming experience, enabling rapid experimentation
  • Supports a wide range of data modalities (text, image, audio, tabular) and model types within a single framework
  • Active open-source community with 11,700 GitHub stars, 1,200 forks, and regular releases as of May 2026

Watch for

  • No commercial entity or revenue model exists; the project relies entirely on volunteer contributions and has no paid support or enterprise offering
  • Competition from other low-code ML platforms (e.g., H2O.ai, DataRobot, AutoML tools) that offer more polished user interfaces and commercial backing
  • Project maintenance depends on a small group of core contributors; any loss of key maintainers could slow development or lead to abandonment

Key Information

Industry
AI Frameworks, Tools & Libraries
Founded
1986

Frequently Asked Questions

What is Ludwig and what does it do?

Ludwig is an open-source, declarative machine learning framework that lets users train and test models by writing a YAML config file instead of code. It simplifies ML workflows and supports text, image, audio, and tabular data.

How do you train a model with Ludwig without writing code?

You define input and output features, model architecture, and training parameters in a YAML configuration file. Ludwig then uses that config to train and test models automatically, integrating with PyTorch under the hood.

Who created Ludwig and is it a company?

Ludwig was created by Piero Molino, formerly at Uber AI Labs. It is not a company—it has no headquarters, employees, revenue, or funding. It is a community-driven open-source project maintained under the ludwig-ai GitHub organization.

What types of data does Ludwig support?

Ludwig supports a wide range of data types including text, image, audio, and tabular data. This allows users to work with diverse modalities within a single framework without switching tools.

Is Ludwig free to use and does it have paid support?

Yes, Ludwig is completely free and open-source. There are no paid products, enterprise support, or commercial offerings. The project relies on volunteer contributions and has no revenue model.

How does Ludwig compare to other low-code ML platforms?

Ludwig competes with platforms like H2O.ai and DataRobot but lacks their polished interfaces and commercial backing. Its strength is a declarative YAML approach for rapid prototyping, though it has no paid support or enterprise features.

Sources

  1. github.com — GitHub repository showing 11,700 stars, 1,200 forks, latest release v0.17.5 on May 29, 2026, and project structure
  2. www.perplexity.ai — Confirms Ludwig Enterprises (LUDG) is a separate OTC-traded biotechnology company with no connection to the ML framework
  3. www.sahmcapital.com — Details Ludwig Enterprises' Q1 2026 financials, confirming zero revenue and a going concern warning, unrelated to the ML project
  4. www.stocktitan.net — Describes Ludwig Enterprises' IPO registration for an mRNA diagnostics company, confirming it is a distinct entity from the open-source ML framework