Transformer Lab VS Ludwig

Let’s have a side-by-side comparison of Transformer Lab vs Ludwig to find out which one is better. This software comparison between Transformer Lab and Ludwig is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Transformer Lab or Ludwig fits your business.

Transformer Lab

Transformer Lab
Learn More | Visit Site
Transformer Lab: An open - source platform for building, tuning, and running LLMs locally without coding. Download 100s of models, finetune across hardware, chat, evaluate, and more.

Ludwig

Ludwig
Learn More | Visit Site
Create custom AI models with ease using Ludwig. Scale, optimize, and experiment effortlessly with declarative configuration and expert-level control.

Transformer Lab

Launched 2023-10
Pricing Model Free
Starting Price
Tech used Google Analytics,Google Tag Manager,Netlify,Atom,Gzip,OpenGraph,RSS,HSTS
Tag Coding Assistants,Software Development,Data Science

Ludwig

Launched 2019-01
Pricing Model Free
Starting Price
Tech used Fastly,GitHub Pages,Varnish
Tag Data Science

Transformer Lab Rank/Visit

Global Rank 1345521
Country United States
Month Visit 26371

Top 5 Countries

23.53%
13.26%
12.17%
11.8%
7.74%
United States Russia India Germany Brazil

Traffic Sources

9.63%
1.29%
0.18%
11.64%
35.06%
41.97%
social paidReferrals mail referrals search direct

Ludwig Rank/Visit

Global Rank 3670965
Country United States
Month Visit 5624

Top 5 Countries

44.66%
33.08%
12.24%
10.02%
United States India Canada Germany

Traffic Sources

6.52%
1.17%
0.1%
8.54%
40.47%
42.96%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Transformer Lab and Ludwig, you can also consider the following products

ktransformers - KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.

LM Studio - LM Studio is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs). The LM Studio cross platform desktop app allows you to download and run any ggml-compatible model from Hugging Face, and provides a simple yet powerful model configuration and inferencing UI. The app leverages your GPU when possible.

local.ai - Explore Local AI Playground, a free app for offline AI experimentation. Features include CPU inferencing, model management, and more.

MiniMind - Build AI models from scratch! MiniMind offers fast, affordable LLM training on a single GPU. Learn PyTorch & create your own AI.

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