--- title: "litgpt vs llm-ui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lightning-ai-litgpt-vs-richardgill-llm-ui" tools: ["lightning-ai-litgpt", "richardgill-llm-ui"] --- # litgpt vs llm-ui *GraphCanon updated Jul 12, 2026* ## Verdict Pick litgpt when litgpt is primarily Python; llm-ui is TypeScript; pick llm-ui when llm-ui is primarily TypeScript; litgpt is Python. [litgpt](https://lightning.ai) reports 13k GitHub stars, 1.5k forks, and 267 open issues, last pushed Jul 6, 2026. [llm-ui](https://llm-ui.com) has 1.7k stars, 88 forks, and 16 open issues, last pushed Jul 2, 2025. Figures are from public GitHub metadata via [litgpt's repository](https://github.com/Lightning-AI/litgpt) and [llm-ui's repository](https://github.com/richardgill/llm-ui). | | [litgpt](/tools/lightning-ai-litgpt.md) | [llm-ui](/tools/richardgill-llm-ui.md) | | --- | --- | --- | | Tagline | High-performance LLMs with recipes for pretraining, finetuning and deployment | The React library for LLMs | | Stars | 13,473 | 1,746 | | Forks | 1,468 | 88 | | Open issues | 267 | 16 | | Language | Python | TypeScript | | Adopt for | LitGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment. | - | | Persona | - | - | | Runtime | - | - | | License | LitGPT operates under the open-source Apache-2.0 license, providing permissive terms for use and modification. | MIT | | Categories | Model Training, LLM Frameworks, Inference & Serving | LLM Frameworks, Developer Tools, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [litgpt](/tools/lightning-ai-litgpt.md) | [llm-ui](/tools/richardgill-llm-ui.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 4d | 373d | | Open issues (now) | 267 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/lightning-ai-litgpt/trust.md) | [trust report](/tools/richardgill-llm-ui/trust.md) | ## Decision facts: litgpt - **Pricing:** freemium - The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models. - **Requirements:** Min 16 GB RAM - **Adopt for:** LitGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment. - **License detail:** LitGPT operates under the open-source Apache-2.0 license, providing permissive terms for use and modification. ## Choose when ### Choose litgpt if… - litgpt is primarily Python; llm-ui is TypeScript. - License: litgpt is Apache-2.0, llm-ui is MIT. - Pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models.. - Requirements: Min 16 GB RAM. - Tags unique to litgpt: llms, deep-learning, ai, artificial-intelligence. - Also covers Model Training, Inference & Serving. - If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application. ### Choose llm-ui if… - llm-ui is primarily TypeScript; litgpt is Python. - License: llm-ui is MIT, litgpt is Apache-2.0. - Tags unique to llm-ui: markdown, llama, llm, generative-ai. - Also covers Developer Tools, Speech & Audio. ## When NOT to use litgpt - If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources. - When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable. ## When NOT to use llm-ui - Last GitHub push was 374 days ago (dormant maintenance, Jul 2, 2025). Validate activity before betting a new project on llm-ui. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between litgpt and llm-ui? litgpt: High-performance LLMs with recipes for pretraining, finetuning and deployment. llm-ui: The React library for LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose litgpt over llm-ui? Choose litgpt over llm-ui when litgpt is primarily Python; llm-ui is TypeScript; License: litgpt is Apache-2.0, llm-ui is MIT; Pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models.; Requirements: Min 16 GB RAM; Tags unique to litgpt: llms, deep-learning, ai, artificial-intelligence; Also covers Model Training, Inference & Serving; If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application. ### When should I choose llm-ui over litgpt? Choose llm-ui over litgpt when llm-ui is primarily TypeScript; litgpt is Python; License: llm-ui is MIT, litgpt is Apache-2.0; Tags unique to llm-ui: markdown, llama, llm, generative-ai; Also covers Developer Tools, Speech & Audio. ### When should I avoid litgpt? If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources. When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable. ### When should I avoid llm-ui? Last GitHub push was 374 days ago (dormant maintenance, Jul 2, 2025). Validate activity before betting a new project on llm-ui. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is litgpt or llm-ui more popular on GitHub? litgpt has more GitHub stars (13,473 vs 1,746). Stars measure visibility, not whether either tool fits your constraints. ### Are litgpt and llm-ui open source? Yes - both are open-source projects on GitHub (litgpt: Apache-2.0, llm-ui: MIT). ### Where can I find alternatives to litgpt or llm-ui? GraphCanon lists graph-backed alternatives at [litgpt alternatives](/tools/lightning-ai-litgpt/alternatives) and [llm-ui alternatives](/tools/richardgill-llm-ui/alternatives) ([litgpt markdown twin](/tools/lightning-ai-litgpt/alternatives.md), [llm-ui markdown twin](/tools/richardgill-llm-ui/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/lightning-ai-litgpt-vs-richardgill-llm-ui.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litgpt or llm-ui? litgpt: Very active. llm-ui: Dormant. 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 litgpt and llm-ui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litgpt trust report](/tools/lightning-ai-litgpt/trust); [llm-ui trust report](/tools/richardgill-llm-ui/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lightning-ai-litgpt`](/api/graphcanon/graph?tool=lightning-ai-litgpt) - 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/_