---
title: "litgpt vs llm.ts"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/lightning-ai-litgpt-vs-r2d4-llm-ts"
tools: ["lightning-ai-litgpt", "r2d4-llm-ts"]
---

# litgpt vs llm.ts

*GraphCanon updated Aug 15, 2026*

## Verdict

Pick litgpt if litGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment; pick llm.ts if llm.ts is a TypeScript library for interacting with various Large Language Models via a unified API interface.

[litgpt](https://lightning.ai) reports 14k GitHub stars, 1.5k forks, and 272 open issues, last pushed Jul 20, 2026. [llm.ts](https://github.com/r2d4/llm.ts) has 214 stars, 9 forks, and 2 open issues, last pushed May 9, 2023. Figures are from public GitHub metadata via [litgpt's repository](https://github.com/Lightning-AI/litgpt) and [llm.ts's repository](https://github.com/r2d4/llm.ts).

| | [litgpt](/tools/lightning-ai-litgpt.md) | [llm.ts](/tools/r2d4-llm-ts.md) |
| --- | --- | --- |
| Tagline | High-performance LLMs with recipes for pretraining, finetuning and deployment | Call any LLM with a single API. Zero dependencies. |
| Stars | 13,605 | 214 |
| Forks | 1,483 | 9 |
| Open issues | 272 | 2 |
| Language | Python | TypeScript |
| Adopt for | LitGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment. | llm.ts is a TypeScript library for interacting with various Large Language Models via a unified API interface. |
| Persona | - | - |
| Runtime | - | - |
| License | LitGPT operates under the open-source Apache-2.0 license, providing permissive terms for use and modification. | MIT License - permissive license that is short and simple, allowing you to use the software in any project as long as this licensing information is retained |
| Categories | Inference & Serving, LLM Frameworks, Model Training | LLM Frameworks, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [litgpt](/tools/lightning-ai-litgpt.md) | [llm.ts](/tools/r2d4-llm-ts.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Dormant (18%) |
| Days since push | 17d | 1193d |
| Open issues (now) | 272 | 2 |
| Stars delta | +137 (30d) | +1 (30d) |
| Open issues delta | +6 (30d) | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/lightning-ai-litgpt/trust.md) | [trust report](/tools/r2d4-llm-ts/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.

## Decision facts: llm.ts

- **Hosting:** unknown - Supports multiple providers including OpenAI, Cohere, and HuggingFace. Can be extended by opening a PR.
- **Adopt for:** llm.ts is a TypeScript library for interacting with various Large Language Models via a unified API interface.
- **License detail:** MIT License - permissive license that is short and simple, allowing you to use the software in any project as long as this licensing information is retained

## Choose when

### Choose litgpt if…

- litgpt is primarily Python; llm.ts is TypeScript.
- License: litgpt is Apache-2.0, llm.ts 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: artificial-intelligence, deep-learning, large language models, llm-inference.
- Also covers 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.ts if…

- llm.ts is primarily TypeScript; litgpt is Python.
- License: llm.ts is MIT, litgpt is Apache-2.0.
- Supports multiple providers including OpenAI, Cohere, and HuggingFace. Can be extended by opening a PR.
- Tags unique to llm.ts: cohere, huggingface, llm, openai.
- You need to interact with multiple LLM providers like OpenAI, Cohere, and HuggingFace through a single API.

## 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.ts

- If you require functionalities that are specific to one provider that are not yet unified or supported within the llm.ts framework.
- For projects that aim to minimize dependencies, though llm.ts itself claims zero dependencies, its reliance on external LLM providers could indirectly introduce complexities.

## Common questions

### What is the difference between litgpt and llm.ts?

litgpt: High-performance LLMs with recipes for pretraining, finetuning and deployment. llm.ts: Call any LLM with a single API. Zero dependencies.. See the comparison table for live GitHub stats and shared categories.

### When should I choose litgpt over llm.ts?

Choose litgpt over llm.ts when litgpt is primarily Python; llm.ts is TypeScript; License: litgpt is Apache-2.0, llm.ts 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: artificial-intelligence, deep-learning, large language models, llm-inference; Also covers 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.ts over litgpt?

Choose llm.ts over litgpt when llm.ts is primarily TypeScript; litgpt is Python; License: llm.ts is MIT, litgpt is Apache-2.0; Supports multiple providers including OpenAI, Cohere, and HuggingFace. Can be extended by opening a PR; Tags unique to llm.ts: cohere, huggingface, llm, openai; You need to interact with multiple LLM providers like OpenAI, Cohere, and HuggingFace through a single API.

### 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.ts?

If you require functionalities that are specific to one provider that are not yet unified or supported within the llm.ts framework. For projects that aim to minimize dependencies, though llm.ts itself claims zero dependencies, its reliance on external LLM providers could indirectly introduce complexities.

### Is litgpt or llm.ts more popular on GitHub?

litgpt has more GitHub stars (13,605 vs 214). Stars measure visibility, not whether either tool fits your constraints.

### Are litgpt and llm.ts open source?

Yes - both are open-source projects on GitHub (litgpt: Apache-2.0, llm.ts: MIT).

### Where can I find alternatives to litgpt or llm.ts?

GraphCanon lists graph-backed alternatives at [litgpt alternatives](/tools/lightning-ai-litgpt/alternatives) and [llm.ts alternatives](/tools/r2d4-llm-ts/alternatives) ([litgpt markdown twin](/tools/lightning-ai-litgpt/alternatives.md), [llm.ts markdown twin](/tools/r2d4-llm-ts/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-r2d4-llm-ts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, litgpt or llm.ts?

litgpt: Active. llm.ts: 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.ts?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litgpt trust report](/tools/lightning-ai-litgpt/trust); [llm.ts trust report](/tools/r2d4-llm-ts/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/_