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aqueducthq avatar

aqueducthq/aqueduct

0
View on GitHub↗
519 stars·20 forks·Go·Apache-2.0·5 viewsaqueducthq.com↗

Aqueduct

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

Features

  • Workflow Orchestration - Open-source platform for production data science workflows.

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Open-source alternatives to Aqueduct

Similar open-source projects, ranked by how many features they share with Aqueduct.
  • argoproj/argo-workflowsargoproj avatar

    argoproj/argo-workflows

    16,466View on GitHub↗

    Argo Workflows is a container-native workflow engine that functions as a Kubernetes custom resource controller. It orchestrates complex sequences of containerized tasks by executing them as directed acyclic graphs, allowing for dependency management and parallel processing within a cluster. The system extends the native Kubernetes control plane to manage the full lifecycle of automated processes, from initial triggering to final resource cleanup. The platform distinguishes itself through its controller-pattern reconciliation, which continuously monitors workflow states to align them with desi

    Goairflowargoargo-workflows
    View on GitHub↗16,466
  • cordum-io/cordumcordum-io avatar

    cordum-io/cordum

    483View on GitHub↗

    The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.

    Go
    View on GitHub↗483
  • couler-proj/coulercouler-proj avatar

    couler-proj/couler

    944View on GitHub↗

    Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

    Python
    View on GitHub↗944
  • argoproj/argoargoproj avatar

    argoproj/argo

    16,770View on GitHub↗

    Argo is a cloud native CI/CD platform and Kubernetes workflow engine. It functions as a container pipeline orchestrator and job scheduler, managing multi-step sequences of containers as jobs using directed acyclic graphs within a cluster. The system acts as a progressive delivery controller, reducing release risk through automated Canary and Blue-Green deployment strategies. It provides declarative GitOps synchronization to mirror the state of a git repository directly into the cluster environment for continuous delivery automation. The platform covers a broad range of capabilities including

    Go
    View on GitHub↗16,770
See all 23 alternatives to Aqueduct→

Frequently asked questions

What does aqueducthq/aqueduct do?

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

What are the main features of aqueducthq/aqueduct?

The main features of aqueducthq/aqueduct are: Workflow Orchestration.

What are some open-source alternatives to aqueducthq/aqueduct?

Open-source alternatives to aqueducthq/aqueduct include: argoproj/argo-workflows — Argo Workflows is a container-native workflow engine that functions as a Kubernetes custom resource controller. It… cordum-io/cordum — The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and… couler-proj/couler — Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows,… dagworks-inc/hamilton — Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode… dotflow-io/dotflow — 🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines. argoproj/argo — Argo is a cloud native CI/CD platform and Kubernetes workflow engine. It functions as a container pipeline…