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Comparison

litgpt vs llm.ts

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.

Markdown twin · litgpt alternatives · llm.ts alternatives

GraphCanon updated 1w

litgpt logo

litgpt

Lightning-AI/litgpt

★ 14kpushed Jul 20, 2026
vs
llm.ts logo

llm.ts

r2d4/llm.ts

★ 214pushed May 9, 2023

Trust & integrity

Signallitgptllm.ts
Maintenance
Active (17d since push)
As of 2w · github_public_v1
Dormant (1193d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
litgpt trust reportllm.ts trust reportTrust methodology

Tagline

litgpt
High-performance LLMs with recipes for pretraining, finetuning and deployment
llm.ts
Call any LLM with a single API. Zero dependencies.

Stars

litgpt
14k
llm.ts
214

Forks

litgpt
1.5k
llm.ts
9

Open issues

litgpt
272
llm.ts
2

Language

litgpt
Python
llm.ts
TypeScript

Adopt for

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

Persona

litgpt
-
llm.ts
-

Runtime

litgpt
-
llm.ts
-

License

litgpt
LitGPT operates under the open-source Apache-2.0 license, providing permissive terms for use and modification.
llm.ts
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

Last pushed

litgpt
Jul 20, 2026
llm.ts
May 9, 2023

Categories

litgpt
Inference & Serving, LLM Frameworks, Model Training
llm.ts
LLM Frameworks, Model Training

Trust and health

Maintenance

litgpt
Active (82%)
llm.ts
Dormant (18%)

Days since push

litgpt
17d
llm.ts
1193d

Open issues (now)

litgpt
272
llm.ts
2

Stars delta

litgpt
+137 (30d)
llm.ts
+1 (30d)

Open issues delta

litgpt
+6 (30d)
llm.ts
0 (30d)

Owner type

litgpt
Organization
llm.ts
User

Full report

litgpt
Trust report
llm.ts
Trust report

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.

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.
GitHubDetails

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 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.
GitHubDetails

Explore

litgpt trust report →llm.ts trust report →Inference & Serving category →LLM Frameworks category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: litgpt 14k · llm.ts 214 (synced Aug 7, 2026).

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 and llm.ts alternatives (litgpt markdown twin, llm.ts markdown twin), 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 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; llm.ts trust report.

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