Category

ONNX (Open Neural Network Exchange) is an open ecosystem that provides an open source format for AI models, including deep learning and traditional ML. It defines an extensible computation graph model, built-in operators, and standard data types, focusing on inferencing capabilities. Widely supported across frameworks and hardware, it enables interoperability and accelerates AI innovation.

Streamlit is an open-source app framework that turns Python scripts into shareable web apps in minutes. It enables data scientists and AI/ML engineers to build interactive data apps like dashboards, reports, or chat apps using pure Python, without front-end experience.

Agent Starter Pack is a Python package providing production-ready templates for GenAI agents on Google Cloud. Focus on your agent logic—the starter pack provides everything else: infrastructure, CI/CD, observability, and security. Includes pre-built templates like ReAct, RAG, multi-agent, and more.

Activepieces is an open-source business automation tool that serves as an alternative to Zapier, emphasizing AI integrations. It enables the creation of AI agents, workflows, and MCP servers using a type-safe TypeScript framework, with over 280 community-contributed pieces, AI-first features, and self-hosted deployment for security.

A SaaS-first MLOps suite that tracks experiments, datasets and models while enabling collaborative LLM/GenAI application development.

An open-source platform from Databricks that manages the entire machine-learning lifecycle with experiment tracking, model packaging, registry and deployment.

An Iguazio-backed open-source framework that orchestrates data/ML/LLM pipelines with serverless execution, tracking and monitoring.

Netflix’s human-centric framework for building and operating real-life data-science and ML workflows with idiomatic Python and production-grade scaling.

A Kubernetes-native workflow engine (originally at Lyft, now LF AI & Data) that provides strongly-typed, versioned data/ML pipelines at scale.

An extensible open-source MLOps framework that lets teams design portable, reproducible pipelines decoupled from infra stacks.

A Yunshan Networks open-source observability stack that delivers zero-code eBPF-based tracing, metrics and continuous profiling for cloud-native & AI workloads.