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Comparison

llm.ts vs awesome

Verdict

Pick llm.ts when license: llm.ts is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, llm.ts is MIT.

Markdown twin · llm.ts alternatives · awesome alternatives

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llm.ts logo

llm.ts

r2d4/llm.ts

★ 213pushed May 9, 2023
vs
awesome logo

awesome

sindresorhus/awesome

★ 484kpushed Jun 30, 2026

Trust & integrity

Signalllm.tsawesome
Maintenance
Dormant (1158d since push)
As of 1d · github_public_v1
Active (11d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of 1d · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of today · none
llm.ts trust reportawesome trust reportTrust methodology

Tagline

llm.ts
Call any LLM with a single API. Zero dependencies.
awesome
😎 Awesome lists about all kinds of interesting topics

Stars

llm.ts
213
awesome
484k

Forks

llm.ts
9
awesome
36k

Open issues

llm.ts
2
awesome
92

Language

llm.ts
TypeScript
awesome
-

Adopt for

llm.ts
-
awesome
A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.

Persona

llm.ts
-
awesome
-

Runtime

llm.ts
-
awesome
-

License

llm.ts
MIT
awesome
CC0-1.0

Last pushed

llm.ts
May 9, 2023
awesome
Jun 30, 2026

Categories

llm.ts
LLM Frameworks
awesome
Developer Tools

Trust and health

Maintenance

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

Days since push

llm.ts
1158d
awesome
11d

Open issues (now)

llm.ts
2
awesome
92

Full report

llm.ts
Trust report
awesome
Trust report

Choose llm.ts if…

  • License: llm.ts is MIT, awesome is CC0-1.0.
  • Tags unique to llm.ts: ai, cohere, huggingface, llm.
  • Also covers LLM Frameworks.

When NOT to use llm.ts

  • Last GitHub push was 1159 days ago (dormant maintenance, May 9, 2023). Validate activity before betting a new project on llm.ts.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose awesome if…

  • License: awesome is CC0-1.0, llm.ts is MIT.
  • Tags unique to awesome: awesome, awesome-list, lists, resources.
  • Also covers Developer Tools.
  • When you need well-organized access to diverse technical subjects from IoT to robotics

When NOT to use awesome

  • If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources
  • In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
GitHubDetails

Explore

llm.ts trust report →awesome trust report →LLM Frameworks category →Developer Tools 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: llm.ts 213 · awesome 484k (synced Jul 11, 2026).

Common questions

What is the difference between llm.ts and awesome?
llm.ts: Call any LLM with a single API. Zero dependencies.. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories.
When should I choose llm.ts over awesome?
Choose llm.ts over awesome when License: llm.ts is MIT, awesome is CC0-1.0; Tags unique to llm.ts: ai, cohere, huggingface, llm; Also covers LLM Frameworks.
When should I choose awesome over llm.ts?
Choose awesome over llm.ts when License: awesome is CC0-1.0, llm.ts is MIT; Tags unique to awesome: awesome, awesome-list, lists, resources; Also covers Developer Tools; When you need well-organized access to diverse technical subjects from IoT to robotics.
When should I avoid llm.ts?
Last GitHub push was 1159 days ago (dormant maintenance, May 9, 2023). Validate activity before betting a new project on llm.ts. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid awesome?
If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
Is llm.ts or awesome more popular on GitHub?
awesome has more GitHub stars (484,026 vs 213). Stars measure visibility, not whether either tool fits your constraints.
Are llm.ts and awesome open source?
Yes - both are open-source projects on GitHub (llm.ts: MIT, awesome: CC0-1.0).
Where can I find alternatives to llm.ts or awesome?
GraphCanon lists graph-backed alternatives at llm.ts alternatives and awesome alternatives (llm.ts markdown twin, awesome 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, llm.ts or awesome?
llm.ts: Dormant. awesome: Active. 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 llm.ts and awesome?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm.ts trust report; awesome trust report.