Data

Tools

Indexes

Applications

Experiments

Summary

An open API service for producing an overview of a list of open source projects.

awesome-llama: https://github.com/mlc-ai/mlc-llm

language-model llm machine-learning-compilation tvm

Score: -Infinity

Last synced: 1 day ago
JSON representation

Repository metadata:

Universal LLM Deployment Engine with ML Compilation

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: 2 days ago

Total Commits: 1,823
Total Committers: 164
Avg Commits per committer: 11.116
Development Distribution Score (DDS): 0.728

Commits in past year: 97
Committers in past year: 20
Avg Commits per committer in past year: 4.85
Development Distribution Score (DDS) in past year: 0.68

Name Email Commits
Ruihang Lai r****l@c****u 495
Junru Shao j****o@a****g 150
Tianqi Chen t****n 135
Git bot b****t@n****m 105
Charlie Ruan 5****n 81
Wuwei Lin w****i@a****g 71
Zihao Ye z****s@g****m 56
Yaxing Cai c****6@g****m 46
Siyuan Feng H****y@s****n 35
Akaash Parthasarathy 4****p 35
Eric Lunderberg L****g 32
Rick Zhou r****u@g****m 32
Shushi Hong 8****4@q****m 30
David Pissarra 6****a 30
Bohan Hou b****u@a****u 28
Hongyi Jin j****2@g****m 27
Mengshiun Yu m****u@g****m 26
Lesheng Jin 3****n 25
Kartik Khandelwal k****8@g****m 24
Yixin Dong u****a@g****m 24
Sudeep Agarwal s****g 15
Kathryn (Jinqi) Chen 6****t 14
Yong Wu y****e@g****m 14
masahi m****9@g****m 13
Animesh Bohara a****a@g****m 12
Yuchen Jin y****j@c****u 11
Sidharth N. Babu s****u@g****m 11
Nestor Qin i****y@g****m 9
Jeethu Rao j****u@j****m 7
krishnaraj36 q****j@q****m 7
and 134 more...

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 1,043
Total pull requests: 1,315
Average time to close issues: about 2 months
Average time to close pull requests: 8 days
Total issue authors: 647
Total pull request authors: 175
Average comments per issue: 2.63
Average comments per pull request: 0.56
Merged pull request: 1,021
Bot issues: 0
Bot pull requests: 2

Past year issues: 53
Past year pull requests: 111
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 11 days
Past year issue authors: 44
Past year pull request authors: 44
Past year average comments per issue: 1.74
Past year average comments per pull request: 1.12
Past year merged pull request: 42
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/mlc-ai/mlc-llm

Top Issue Authors

  • BlindDeveloper (24)
  • tqchen (14)
  • Vinaysukhesh98 (13)
  • panghongtao (9)
  • Sing-Li (8)
  • federicoparra (8)
  • MrRace (8)
  • dusty-nv (8)
  • Moon-Ahn (7)
  • 0xDEADFED5 (7)
  • musram (7)
  • XJY990705 (7)
  • bethalianovike (6)
  • alphaarea (6)
  • CharlieFRuan (6)

Top Pull Request Authors

  • MasterJH5574 (432)
  • vinx13 (72)
  • tqchen (66)
  • CharlieFRuan (58)
  • tlopex (50)
  • cyx-6 (41)
  • mengshyu (36)
  • akaashrp (33)
  • rickzx (30)
  • Ubospica (27)
  • junrushao (21)
  • Kartik14 (20)
  • yongwww (17)
  • Hzfengsy (17)
  • Lunderberg (15)

Top Issue Labels

  • bug (458)
  • question (313)
  • feature request (95)
  • new-models (78)
  • status: tracking (27)
  • trouble shooting (25)
  • documentation (22)
  • status : inactive (6)
  • java / android (5)
  • performance (5)
  • help wanted (4)

Top Pull Request Labels

  • bug (8)
  • question (6)
  • documentation (1)
  • new-models (1)
  • released (1)

Package metadata

proxy.golang.org: github.com/mlc-ai/mlc-llm

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/mlc-ai/mlc-llm#section-documentation
  • Licenses: apache-2.0
  • Latest release: v0.20.0 (published 4 months ago)
  • Last Synced: 2026-11-01T08:34:15.974Z (2 days ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 6.09%
    • Average: 6.294%
    • Dependent repos count: 6.498%
spack.io: mlc-llm

MLC LLM is a machine learning compiler and high-performance deployment engine for large language models. The mission of this project is to enable everyone to develop, optimize, and deploy AI models natively on everyone's platforms.

  • Homepage: https://github.com/mlc-ai/mlc-llm
  • Licenses: []
  • Latest release: (published 2 days ago)
  • Last Synced: 2026-11-01T08:34:14.706Z (2 days ago)
  • Versions: 0
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Average: 28.905%
    • Dependent packages count: 57.81%

Dependencies

examples/rest/nodejs/package.json npm
  • ts-node ^10.9.1 development
  • @types/node ^20.4.4
  • dotenv ^16.3.1
  • langchain ^0.0.117
  • needle ^3.2.0
  • openai ^3.3.0
  • typescript ^5.1.6
docs/requirements.txt pypi
  • mlc-ai-nightly *
  • sphinx ==5.2.3
  • sphinx-rtd-theme *
  • sphinx-tabs ==3.4.1
  • sphinx-toolbox ==3.4.0
  • sphinxcontrib-napoleon ==0.7
  • sphinxcontrib_httpdomain ==1.8.1
  • tlcpack-sphinx-addon ==0.2.2
pyproject.toml pypi
python/setup.py pypi
  • fastapi *
ios/MLCSwift/Package.swift swiftpm
.github/workflows/documentation.yaml actions
  • actions/checkout v2 composite
  • ruby/setup-ruby v1 composite
.github/workflows/update-relax.yaml actions
  • actions/checkout v3 composite
.github/workflows/windows-build.yaml actions
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
.github/workflows/lint.yml actions
  • actions/checkout de0fac2e4500dabe0009e67214ff5f5447ce83dd composite
  • astral-sh/setup-uv b75a909f75acd358c2196fb9a5f1299a9a8868a4 composite
  • pre-commit/action 2c7b3805fd2a0fd8c1884dcaebf91fc102a13ecd composite
ios/MLCChat/MLCChat.xcodeproj/project.xcworkspace/xcshareddata/swiftpm/Package.resolved swiftpm
  • github.com/gonzalezreal/NetworkImage 6.0.1
  • github.com/gonzalezreal/swift-markdown-ui 2.4.1
  • github.com/swiftlang/swift-cmark 0.7.1
python/requirements.txt pypi
  • apache-tvm-ffi *
  • datasets *
  • fastapi *
  • flashinfer-python *
  • ml_dtypes >=0.5.1
  • openai *
  • pandas *
  • prompt_toolkit *
  • requests *
  • safetensors *
  • sentencepiece *
  • shortuuid *
  • tiktoken *
  • torch *
  • tqdm *
  • transformers *
  • uvicorn *
site/Gemfile rubygems
  • jekyll-remote-theme >= 0
  • jekyll-sass-converter >= 0
android/MLCChat/app/build.gradle maven
  • androidx.activity:activity-compose 1.7.1 implementation
  • androidx.appcompat:appcompat 1.6.1 implementation
  • androidx.compose.material3:material3 1.1.0 implementation
  • androidx.compose.material:material-icons-extended * implementation
  • androidx.compose.ui:ui * implementation
  • androidx.compose.ui:ui-graphics * implementation
  • androidx.compose.ui:ui-tooling-preview * implementation
  • androidx.core:core-ktx 1.10.1 implementation
  • androidx.lifecycle:lifecycle-runtime-ktx 2.6.1 implementation
  • androidx.lifecycle:lifecycle-viewmodel-compose 2.6.1 implementation
  • androidx.navigation:navigation-compose 2.5.3 implementation
  • com.google.code.gson:gson 2.10.1 implementation
  • junit:junit 4.13.2 testImplementation
android/MLCChat/build.gradle maven
android/MLCEngineExample/app/build.gradle maven
  • androidx.activity:activity-compose 1.7.1 implementation
  • androidx.appcompat:appcompat 1.6.1 implementation
  • androidx.compose.material3:material3 1.1.0 implementation
  • androidx.compose.material:material-icons-extended * implementation
  • androidx.compose.ui:ui * implementation
  • androidx.compose.ui:ui-graphics * implementation
  • androidx.compose.ui:ui-tooling-preview * implementation
  • androidx.core:core-ktx 1.10.1 implementation
  • androidx.lifecycle:lifecycle-runtime-ktx 2.6.1 implementation
  • androidx.lifecycle:lifecycle-viewmodel-compose 2.6.1 implementation
  • androidx.navigation:navigation-compose 2.5.3 implementation
  • com.google.code.gson:gson 2.10.1 implementation
  • junit:junit 4.13.2 testImplementation
android/MLCEngineExample/build.gradle maven
android/mlc4j/build.gradle maven
  • androidx.appcompat:appcompat 1.6.1 implementation
  • androidx.core:core-ktx 1.9.0 implementation
  • com.google.android.material:material 1.10.0 implementation
  • org.jetbrains.kotlinx:kotlinx-serialization-json 1.6.3 implementation