Pipelines
Showing 12 of 12 projects
A high-performance, end-to-end observability data pipeline for collecting, transforming, and routing logs and metrics.
A high-performance, end-to-end observability data pipeline for collecting, transforming, and routing logs and metrics.
An open-source MLOps platform for building, orchestrating, and deploying production AI pipelines and agents.
The fastest way to build data pipelines with iterative development and deployment anywhere.
A declarative code-first data integration engine that unlocks 600+ APIs and databases, eliminating the need to write and maintain custom API integrations.
Elyra is a set of AI-centric extensions for JupyterLab that adds visual pipeline editing, batch job execution, and AI-assisted coding.
A Julia machine learning framework providing a unified interface and meta-algorithms for over 200 models.
Pythonic orchestration tool for AI/ML, HPC, and quantum computing workflows across heterogeneous compute environments.
Write CI/CD pipelines in C# with local debugging, compile-time safety, and automatic parallelization.
A super small and powerful framework for building CI pipelines using Makefile and Docker for isolation.
A framework for building pluggable, composable business logic pipelines in Elixir.
A Go pagination library for the official MongoDB driver that supports both normal queries and aggregation pipelines with full pagination metadata.
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