What is mlc-llm built with?

mlc-llm is a Python repo built with Jetpack Compose, androidx.core:core-ktx, androidx.navigation:navigation-compose, FastAPI, uvicorn, and 1 more. It uses AI through apache-tvm-ffi, datasets, flashinfer-python, openai, sentencepiece, and 4 more. It has 80,952 written lines, with 69 test files.

Read on November 4, 2026, at commit 44fd06d. Read it as markdown

Frontend

The base 3

Interface 5

  • prompt-toolkit1 file
  • com.google.android.material:material
  • MarkdownUI1 file
  • appcompat
  • ui-graphics

Icons 1

  • androidx.compose.material:material-icons-extended2 files

Backend

The base 2

AI 9

Support

The base 1

  • lifecycle-runtime-ktx

Tools 1

  • ui-tooling-preview

Other 6

  • tqdm4 files
  • Google1 file
  • pandas
  • requests3 files
  • org.jetbrains.kotlinx:kotlinx-serialization-json2 files
  • androidx.lifecycle:lifecycle-viewmodel-compose1 file

Other repos with a similar stack

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Frequently asked questions

What language is mlc-llm written in?
mlc-llm is written in Python, with 80,952 written lines.
What framework does mlc-llm use?
mlc-llm is built with Jetpack Compose, androidx.core:core-ktx, androidx.navigation:navigation-compose, FastAPI, uvicorn, and lifecycle-runtime-ktx.
Does mlc-llm use AI?
Yes. mlc-llm uses AI through apache-tvm-ffi, datasets, flashinfer-python, openai, sentencepiece, transformers, safetensors, tiktoken, and torch.
Does mlc-llm have tests?
Yes. mlc-llm has 69 test files.
Which repos have a stack like mlc-llm's?
The ones that share most of its stack:unslothai/unslothmudler/LocalAIdebpalash/VoiceStudio

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