--- title: "ludwig vs lingvo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ludwig-ai-ludwig-vs-tensorflow-lingvo" tools: ["ludwig-ai-ludwig", "tensorflow-lingvo"] --- # ludwig vs lingvo *GraphCanon updated Aug 4, 2026* ## Verdict Pick ludwig when tags unique to ludwig: computer-vision, data-centric, deeplearning, fine-tuning; pick lingvo when tags unique to lingvo: asr, machine-translation, nlp, research. [ludwig](http://ludwig.ai) reports 12k GitHub stars, 1.2k forks, and 2 open issues, last pushed Aug 3, 2026. [lingvo](https://github.com/tensorflow/lingvo) has 2.9k stars, 452 forks, and 156 open issues, last pushed Jun 22, 2026. Figures are from public GitHub metadata via [ludwig's repository](https://github.com/ludwig-ai/ludwig) and [lingvo's repository](https://github.com/tensorflow/lingvo). | | [ludwig](/tools/ludwig-ai-ludwig.md) | [lingvo](/tools/tensorflow-lingvo.md) | | --- | --- | --- | | Tagline | Low-code framework for building custom LLMs and AI models | Lingvo is a modular and production-ready research platform built on TensorFlow for building sequence-to-sequence models. | | Stars | 11,746 | 2,861 | | Forks | 1,216 | 452 | | Open issues | 2 | 156 | | Language | Python | Python | | Adopt for | Ludwig is a powerful low-code framework for Python that facilitates the creation of various machine learning models including LLMs and neural networks with minimal coding. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Model Training | Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ludwig](/tools/ludwig-ai-ludwig.md) | [lingvo](/tools/tensorflow-lingvo.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 37d | | Open issues (now) | 2 | 156 | | Full report | [trust report](/tools/ludwig-ai-ludwig/trust.md) | [trust report](/tools/tensorflow-lingvo/trust.md) | ## Shared compatibility - **Python**: [ludwig](/tools/ludwig-ai-ludwig.md) - Python runtime; [lingvo](/tools/tensorflow-lingvo.md) - Python runtime ## Decision facts: ludwig - **Adopt for:** Ludwig is a powerful low-code framework for Python that facilitates the creation of various machine learning models including LLMs and neural networks with minimal coding. ## Choose when ### Choose ludwig if… - Tags unique to ludwig: computer-vision, data-centric, deeplearning, fine-tuning. - Also covers LLM Frameworks. - When you need to fine-tune models like LLAMA2 or Mistral efficiently using low-code methods ### Choose lingvo if… - Tags unique to lingvo: asr, machine-translation, nlp, research. - Also covers Speech & Audio. - When needing flexibility to modify framework code or develop new custom ops. ## When NOT to use ludwig - If your Python version is below 3.12, as Ludwig requires at least this version - When you prefer to write extensive manual code for model training rather than leverage a low-code solution ## When NOT to use lingvo - If simplicity of installation is prioritized over modifiable framework code. - For projects that do not require TensorFlow-based advanced model customization. ## Common questions ### What is the difference between ludwig and lingvo? ludwig: Low-code framework for building custom LLMs and AI models. lingvo: Lingvo is a modular and production-ready research platform built on TensorFlow for building sequence-to-sequence models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ludwig over lingvo? Choose ludwig over lingvo when Tags unique to ludwig: computer-vision, data-centric, deeplearning, fine-tuning; Also covers LLM Frameworks; When you need to fine-tune models like LLAMA2 or Mistral efficiently using low-code methods. ### When should I choose lingvo over ludwig? Choose lingvo over ludwig when Tags unique to lingvo: asr, machine-translation, nlp, research; Also covers Speech & Audio; When needing flexibility to modify framework code or develop new custom ops. ### When should I avoid ludwig? If your Python version is below 3.12, as Ludwig requires at least this version When you prefer to write extensive manual code for model training rather than leverage a low-code solution ### When should I avoid lingvo? If simplicity of installation is prioritized over modifiable framework code. For projects that do not require TensorFlow-based advanced model customization. ### Is ludwig or lingvo more popular on GitHub? ludwig has more GitHub stars (11,746 vs 2,861). Stars measure visibility, not whether either tool fits your constraints. ### Are ludwig and lingvo open source? Yes - both are open-source projects on GitHub (ludwig: Apache-2.0, lingvo: Apache-2.0). ### Where can I find alternatives to ludwig or lingvo? GraphCanon lists graph-backed alternatives at [ludwig alternatives](/tools/ludwig-ai-ludwig/alternatives) and [lingvo alternatives](/tools/tensorflow-lingvo/alternatives) ([ludwig markdown twin](/tools/ludwig-ai-ludwig/alternatives.md), [lingvo markdown twin](/tools/tensorflow-lingvo/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/ludwig-ai-ludwig-vs-tensorflow-lingvo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ludwig or lingvo? ludwig: Very active. lingvo: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for ludwig and lingvo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ludwig trust report](/tools/ludwig-ai-ludwig/trust); [lingvo trust report](/tools/tensorflow-lingvo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ludwig-ai-ludwig`](/api/graphcanon/graph?tool=ludwig-ai-ludwig) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_