71 projects
LF AI & Data
LF AI & Data is a foundation under the Linux Foundation dedicated to advancing open-source artificial intelligence (AI), machine learning (ML), and data projects. It fosters collaboration between industry leaders, researchers, and developers to create scalable, trustworthy, and interoperable AI and data solutions.
79,900 contributors
$2B
vLLM
The mission of the Project is to develop an open-source library for fast LLM inference and serving.
15,627
1,267
$17M
ONNX
ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.
8,181
948
$49M
DeepSpeed
The mission of the Project is to develop a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
5,376
181
$20M
Milvus
As an open source vector similarity search engine, Milvus is easy-to-use, highly reliable, scalable, robust, and blazing fast. Adopted by over 100 organizations and institutions worldwide, Milvus empowers applications in a variety of fields, including image processing, computer vision, natural language processing, voice recognition, recommender systems, drug discovery, etc.
4,603
400
$38M
Delta Lake Project
Delta Lake is an open source storage layer that brings reliability to data lakes.
3,720
499
$39M
DELTA
Delta is a deep learning based end-to-end natural language and speech processing platform. DELTA aims to provide easy and fast experiences for using, deploying, and developing natural language processing and speech models for both academia and industry use cases. DELTA is mainly implemented using TensorFlow and Python 3.
2,923
38
$2M
DeepRec
The mission of the Project is to develop a high-performance recommendation deep learning framework.
2,731
224
$160M
FATE Project
FATE is an open-source project initiated by Webank’s AI Department to provide a secure computing framework to support the federated AI ecosystem.
2,520
110
$103M
Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
2,291
328
$2.8M
CLAIMED
CLAIMED (Component Library for AI, Machine Learning, ETL and Data Science) is a runtime and programming language agnostic Data & AI component framework abstracting away all complexity for advanced MLOps and TrustedAI.
2,069
20
$3.6M
Kserve
The mission of the Project is to develop a highly scalable and standards based model inference platform on Kubernetes for Trusted AI.
1,976
370
$75M
Flyte
Flyte is a container-native, type-safe workflow and pipelines platform optimized for large scale processing and machine learning written in Golang.
1,876
322
$78M
Feast
Feast is the bridge between your data and your machine learning models allowing teams to register, ingest, serve, and monitor features in production.
1,732
335
$12M
Kedro Project
The mission of the Project is to design and implement an open source framework for creating reproducible, maintainable and modular data science code.
1,728
191
$50M
TonY Project
The mission of the Project is to design and implement an open source framework to run distributed deep learning jobs reliably on computing infrastructures.
1,605
36
$1M

Docling
Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.
1,562
169
$692M
JanusGraph
JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster.
1,492
217
$35M
Angel
A Flexible and Powerful Parameter Server for large-scale machine learning.
1,487
56
$23M
Pyro
Deep universal probabilistic programming with Python and PyTorch.
1,397
236
$24M
sparklyr
R interface for Apache Spark.
1,310
130
$2.1M
Ludwig
Ludwig is an open-source, declarative machine learning framework that makes it easy to define deep learning pipelines with a simple and flexible data-driven configuration system. Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks.
1,283
152
$14M
Amundsen
Amundsen is a data discovery and metadata engine for improving the productivity of data analysts, data scientists and engineers when interacting with data. Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
1,086
249
$8.8M
IREE
IREE (Intermediate Representation Execution Environment1) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.
1,011
107
$24M
Marquez
Marquez is an open source metadata service for the collection, aggregation, and visualization of a data ecosystem’s metadata. It maintains the provenance of how datasets are consumed and produced, provides global visibility into job runtime and frequency of dataset access, centralization of dataset lifecycle management, and much more. Marquez was released and open sourced by WeWork.
825
57
$3M
Adversarial Robustness Toolbox
Adversarial Robustness Toolbox (ART) provides tools that enable developers and researchers to evaluate, defend, certify and verify Machine Learning models and applications against the adversarial threats.
722
57
$7.2M
OPEA
The mission of the Project is to develop an ecosystem orchestration framework to efficiently integrate performant GenAI technologies and workflows leading to quicker GenAI adoption and business value.
643
50
$61M
OpenFL
The mission of the OpenFL projet is to build a flexible, secure, scalable and easily learnable Federated Learning tool for data scientists and data owners.
598
40
$2.5M
Open Lineage
The mission of the Project is to enable the industry at-large to collect lineage metadata consistently and comprehensively across complex pipelines, creating a deeper understanding of data.
597
80
$11M
Recommenders
The mission of the Project is to develop examples and best practices for building recommendation systems, provided as Jupyter notebooks.
588
112
$3M
Egeria
Egeria provides the Apache 2.0 licensed open metadata and governance type system, frameworks, APIs, event payloads and interchange protocols to enable tools, engines and platforms to exchange metadata in order to get the best value from data whilst ensuring it is properly governed.
578
52
$68M
RWKV
The mission of the Project is to develop a recurrent neural net language model with GPT-level LLM performance, which can also be directly trained like a GPT transformer.
564
34
$47M
Elyra
The mission of the Project is to create and maintain an open-source development workspace that simplifies the creation and orchestration of the AI model development lifecycle tasks.
493
91
$23M
Monocle
The mission of the Project is to develop a domain specific tracing framework for monitoring code used to build Generative AI applications.
469
9
$684K
Neural Network (NN) Streamer
? Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
442
42
$21M
AI Fairness 360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
391
44
$2.8M
FlagAI
The mission of the Project is to develop a fast, easy-to-use and extensible toolkit for large-scale AI modeling, with the goal of supporting training, fine-tuning, and deployment of large-scale models on various downstream tasks with multi-modality.
333
27
$38M
DocArray
The mission of the DocArray project is to develop a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh.
331
47
$1.7M
Bee-AI
The mission of BeeAI is building an open-source ecosystem that empowers developers to discover, run, and compose AI agents from any framework. We’re creating the infrastructure to make agents truly interoperable, regardless of their underlying implementation.
322
33
$6.7M
LF AI & Data
LF AI & Data is an umbrella foundation of the Linux Foundation that supports open source innovation in artificial intelligence (AI) and data. LF AI & Data was created to support open source AI and data, and to create a sustainable open source AI ecosystem that makes it easy to create AI and data products and services using open source technologies. We foster collaboration under a neutral environment with an open governance in support of the harmonization and acceleration of open source technical projects.
218
37
Kompute
The mission of the Project is to advance the GPU Acceleration ecosystem in scientific and industry applications through cross-vendor graphics card tooling, and further capabilities for GPGPU computing across advanced data processing use-cases.
201
27
$580K

Data Prep Kit
Data Prep Kit accelerates unstructured data preparation for LLM app developers. Developers can use Data Prep Kit to cleanse, transform, and enrich use case-specific unstructured data to pre-train LLMs, fine-tune LLMs, instruct-tune LLMs, or build Retrieval Augmented Generation (RAG) applications for LLMs
191
10
$13M
Feathr
The mission of the Project is to develop an enterprise-grade, high performance feature store.
179
29
$6.2M
Substra
The mission of the Project is to design and implement an open source framework for traceable ML orchestration on decentralized sensitive data.
179
19
$5.6M
Xtreme1
The mission of the Project is to build an accessible open-source data-centric MLOps infrastructure to connect people, models and data.
176
22
$8.3M
AI Explainability 360
interpretability and explainability of data and machine learning models. AI Explainability 360 is an open source toolkit that can help users better understand the ways that machine learning models predict labels using a wide variety of techniques throughout the AI application lifecycle.
146
18
$2.4M
Datashim
The mission of the Project is to design and implement an Open Source framework that provides seamless access to Data in Kubernetes environments.
146
46
$714K
Open Voice Network Interoperability Initiative
The Open Voice Network Interoperability Initiative is developing The “Message Envelope,” a universal, open API for voice/chatbot and language model interoperability, analogous to HTTP AND HTML.
132
35
$3.1M
Adlik
Adlik offers a end-to-end optimizing framework for deep learning models whose goal is to accelerate deep learning inference process both on cloud and embedded environments.
112
8
$2.6M
LakeSoul
The mission of the Project is to develop an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.
72
6
$5.6M
Data Practices
DataPractices.org was pioneered by data.world as a “Manifesto for Data Practices” of four values and 12 principles that illustrate the most effective, ethical, and modern approach to data teamwork. As a member of the foundation, datapractices.org will expand to offer open courseware and establish a collaborative approach to defining and refining data best practices.
68
7
$1.7M
Bitol
Within the BITOL project, the primary objective is to tackle multiple challenges, such as data normalization, ensuring the relevance of documentation, establishing service-level expectations, simplifying data and tool integration, and promoting a data product-oriented approach. These efforts offer several advantages, including stimulating innovation and streamlining integration processes. BITOL is a sandbox-stage project of the LF AI & Data Foundation. Contributed by: AIDA User Group in September 2023
65
18
$747K
Machine Learning eXchange (MLX)
The mission of the Project is to design and implement an open source Data and AI Assets Catalog and Execution Engine that allows the uploading, registration, execution, and deployment of AI pipelines and pipeline components, models, datasets and notebooks.
64
8
$370K
Elastic Deep Learning (EDL)
Elastic Deep Learning using PaddlePaddle and Kubernetes.
61
10
$692K
SapientML
The mission of the Project is to help data scientists rapidly create and amend AI models.
59
7
$1.5M
OpenDS4All
OpenDS4All is a project created to accelerate the creation of data science curricula at academic institutions. While a great deal of online material is available for data science, including online courses, we recognize that the best way for many students to learn (and for many institutions to deliver) content is through a combination of lectures, recitation or flipped classroom activities, and hands-on assignments.
54
12
$8.5M
Open Model Initiative
The mission of the Project is to support open community development of openly licensed baseline AI models for image, video and audio generation that individuals and organizations can use and augment in their own solutions.
40
7
$810K
RosaeNLG Project
An open source natural generation library.
39
10
$89M
SOAJS
SOAJS provides a complete enterprise open source microservice management platform.
34
9
$37M
1chipML
The mission of the 1chipML open source project is to design and implement a library for basic numerical crunching and machine learning for microcontrollers offering a highly reliable open framework to use on limited and low-power hardware.
30
7
$2M
OpenDataology
The mission of the OpenDataology project is to provide a crowd-sourced platform that provides approaches to analyze and document the license compliance risks of publicly available datasets used for Artificial Intelligence (AI) software. In addition, the project endeavors to develop and promote open standards that capture the metadata required for performing license compliance analysis, dataset license compliance analysis processes and supporting tools.
27
5
$508K