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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 Python framework for building custom large language models, neural networks, and other AI models. It provides a declarative configuration system that reduces the amount of code needed to train, evaluate, and deploy models.

Best for

Data scientists and ML engineers who want to quickly build and deploy AI models without extensive coding

Use cases

  • Rapidly prototype and train custom LLMs with minimal coding
  • Build and fine-tune neural networks for tabular data or text
  • Deploy trained AI models into production with predefined pipelines

Notes

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

Pros

  • Low-code design accelerates experimentation and reduces boilerplate
  • Wide compatibility with multiple model architectures and data types
  • Strong open-source community with over 11,700 GitHub stars

Cons

  • Limited flexibility for highly customized or non-standard model architectures
  • Python dependency restricts usage outside of Python-based stacks
  • Performance tuning may still require deep understanding of underlying models

Key facts

What we have checked

Days since the last commit
6
Checked GitHub
GitHub forks
1,214
Checked GitHub
GitHub stars
11,784
Checked GitHub
Days to a first reply on issues
0.9
Checked GitHub
Open issues
1
Checked GitHub
Releases in the last 90 days
1
Checked GitHub

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

Health and security

Is Ludwig looked after, and what do its setup files show

Health score

91 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 6 days ago
Releases7.5 of 151 release in 90 days
Issue replies20 of 20First reply in 0.9 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

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

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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