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Conductor

Appears in 4 awesome lists

Event-driven agentic orchestration platform providing durable and resilient execution engine for applications and AI agents. Battle-tested at Netflix, Tesla, LinkedIn, and J.P. Morgan with 30K+ stars. Apache 2.0 licensed.

Open github.comconductor-oss/conductor

Found in these lists

Awesome Data Analysis

Section: Tools · Orchestration engine for running complex, multi-step workflows and business processes.

FreshScore 80

Awesome Integration

Section: Workflow Engine · Durable workflow orchestration engine originally built at Netflix, now maintained by the community after the original repository was archived.

FreshScore 82

Awesome Java

Section: Workflow Orchestration Engines · Apache-2.0 🟢Event-driven workflow engine for distributed applications and AI agents.

FreshScore 93

Awesome Open Source AI

Section: 4. Agentic AI & Multi-Agent Systems · Event-driven agentic orchestration platform providing durable and resilient execution engine for applications and AI agents. Battle-tested at Netflix, Tesla, LinkedIn, and J.P. Morgan with 30K+ stars. Apache 2.0 licensed.

FreshScore 89

Luigi

Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.

In 15 listsDetails

Apache Airflow

"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…

In 13 listsDetails

Dagster

Cloud-native orchestration platform for developing and maintaining data assets including ML models. Declarative programming model with integrated lineage and observability. Apache 2.0 licensed.

In 12 listsDetails

Prefect

Workflow management system that makes it easy to take your data pipelines and add semantics like retries, logging, dynamic mapping, caching, failure notifications, and more.

In 11 listsDetails

Argo Workflows

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition).

In 10 listsDetails

Apache Spark

Unified analytics engine for large-scale data processing. In-memory cluster computing with high-level APIs in Python, Scala, Java, and R. Powers MLlib for distributed machine learning and Structured Streaming for real-time data. Apache 2.0 licensed.

In 8 listsDetails

Kestra

Event-driven orchestration and scheduling platform for mission-critical workflows. Infrastructure-as-Code approach with declarative YAML, Git version control integration, and hundreds of plugins for data pipelines and ML workflows. Apache 2.0 licensed.

In 8 listsDetails

Apache Flink

Stream processing framework with powerful batch and streaming capabilities. High-throughput, low-latency runtime with exactly-once processing guarantees. Ideal for real-time AI inference pipelines and event-driven ML applications. Apache 2.0 licensed.

In 7 listsDetails