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Open Source

Ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

Our verdict

Not reviewed yet

We have not reviewed Ludwig yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Ludwig

Ludwig is a low-code framework for building custom LLMs, neural networks, and other AI models. It provides a declarative approach to model definition, training, and inference using YAML configuration files and a Python interface.

Best for

Developers and data scientists who want to quickly experiment with and deploy custom AI models without deep coding

Use cases

  • Rapidly prototype and train custom text, image, or tabular models without writing extensive code
  • Fine-tune large language models for domain-specific tasks using a configuration-driven workflow
  • Build and compare multiple model architectures through simple YAML configuration changes

Notes

11,707 stars on GitHub. Last updated 2026-05-29. Licensed Apache-2.0.

Pros

  • Reduces boilerplate and accelerates model development for practitioners
  • Supports a wide variety of data types and model architectures out of the box
  • Active open-source community with over 11k stars on GitHub

Cons

  • Performance and flexibility may lag behind fully custom PyTorch or TensorFlow implementations
  • Debugging complex custom behaviors can be challenging due to abstraction layers
  • Documentation and examples may not cover all edge cases or advanced use cases

Key facts

What we have checked

Latest version
0.17.10
Checked GitHub
GitHub stars
11,766
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How Ludwig is growing

GitHub stars

11,707 to 11,766

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to Ludwig

RecordTypeHow we knowChecked
KerasThis is an alternative to itOpen sourceNamed in the listingNot dated
PyTorch LightningThis is an alternative to itOpen sourceNamed in the listingNot dated

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Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 0.17.10

    Source: GitHub

  2. Released 0.17.9

    Source: GitHub

  3. Released 0.17.8

    Source: GitHub

  4. Released 0.17.7

    Source: GitHub

  5. Released 0.17.6

    Source: GitHub

  6. Released 0.17.5

    Source: GitHub

  7. Released 0.17.3

    Source: GitHub

  8. Released 0.17.2

    Source: GitHub

  9. Released 0.17.1

    Source: GitHub

  10. Released 0.17.0

    Source: GitHub

  11. Released 0.16.2

    Source: GitHub

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