18 projects
Kubeflow
Kubeflow is an open source machine learning platform built on Kubernetes that makes deploying and managing ML workflows on Kubernetes simple, portable and scalable. It provides end-to-end orchestration of machine learning pipelines, model training, serving, and experiment tracking.
Contributors
10,616
Organizations
2,297
Software value
$433M
Ray
Ray is an open-source unified framework for scaling AI and Python applications. It provides a simple, universal API for building distributed applications and includes libraries for machine learning, serving, streaming, and more. Ray enables developers to parallelize single-machine code with minimal code changes and scale applications from a laptop to a cluster.
Contributors
8,934
Organizations
1,520
Software value
$52M
Weights & Biases
Weights & Biases is a machine learning platform that helps teams track experiments, manage datasets, and collaborate on ML projects. It provides tools for experiment tracking, model versioning, dataset versioning, and visualization of machine learning metrics.
Contributors
4,797
Organizations
1,049
Software value
$94M
Gradio
Gradio is an open-source Python library that enables developers to quickly create customizable web interfaces for machine learning models, data processing pipelines, and other Python functions. It allows for easy demo creation and sharing of ML models with drag-and-drop interfaces, requiring minimal code.
Contributors
4,542
Organizations
714
Software value
$10M
OpenVINO
OpenVINO (Open Visual Inference and Neural Network Optimization) is an open-source toolkit that enables fast development of computer vision and deep learning applications, optimizing neural network models for Intel hardware. It provides tools for model optimization, inference engine deployment, and cross-platform performance acceleration.
Contributors
4,383
Organizations
393
Software value
$83M
Modular Platform
Modular is a platform for building and deploying AI applications, focusing on machine learning model development, optimization, and deployment. It provides tools and infrastructure for efficient AI development workflows.
Contributors
2,652
Organizations
461
Software value
$54M
LocalAI
LocalAI is an open-source project that provides a self-hosted, local alternative to OpenAI's APIs. It allows running LLMs (Large Language Models), text generation, embeddings, and image generation locally without requiring cloud services, supporting multiple model formats and hardware acceleration.
Contributors
1,705
Organizations
334
Software value
$14M
Intel XPU Backend for Triton
A backend implementation that enables Triton Inference Server to run inference workloads on Intel XPU hardware accelerators, providing optimized model execution for Intel GPUs and other XPU devices
Contributors
1,067
Organizations
139
Software value
$10M
Seldon Core
Seldon Core is an open-source platform for deploying, managing and scaling machine learning models on Kubernetes. It provides a production-ready solution for serving models with features like A/B testing, canary deployments, monitoring, and advanced traffic routing patterns.
Contributors
1,003
Organizations
273
Software value
$26M
Metaflow
Metaflow is a Python framework that helps data scientists and machine learning engineers build and manage real-world data science projects. It provides a unified workflow to help teams move from prototype to production while handling data dependencies, versioning, and scalable compute infrastructure.
Contributors
878
Organizations
210
Software value
$4.8M
Vespa
Vespa is an open source big data serving engine that enables storing, searching, ranking and organizing structured content at large scale. It provides real-time processing, advanced search capabilities, and machine learning-powered ranking for applications requiring low latency access to large datasets.
Contributors
774
Organizations
118
Software value
$71M
Determined AI
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Contributors
485
Organizations
67
Software value
$21M
FedML
FedML is an open-source library and MLOps platform for federated learning research and production deployment. It provides a unified framework for distributed/federated training, serving, and mobile/IoT deployment with consistent APIs and modular architecture.
Contributors
401
Organizations
57
Software value
$7.9M
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.
Contributors
335
Organizations
17
Software value
$4.7M
Instill Core
Instill Core is an open-source MLOps platform that provides infrastructure for building and deploying AI applications. It enables integration of various AI models and data sources through a unified API and pipeline system.
Contributors
136
Organizations
28
Software value
$2.1M
ForestFlow
ForestFlow is a scalable policy-based cloud-native machine learning model server. ForestFlow strives to strike a balance between the flexibility it offers data scientists and the adoption of standards while reducing friction between Data Science, Engineering and Operations teams.
Contributors
10
Organizations
5
Software value
$235K
TensorFlow Serving
A flexible, high-performance serving system for machine learning models
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