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Back to didacthq/didact

Open-source alternatives to Didact

30 open-source projects similar to didacthq/didact, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Didact alternative.

  • aelassas/wexflowAvatar de aelassas

    aelassas/Wexflow

    830Ver en GitHub↗

    Workflow Automation Engine

    C#
    Ver en GitHub↗830
  • agnostiqhq/covalentAvatar de AgnostiqHQ

    AgnostiqHQ/covalent

    861Ver en GitHub↗

    Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

    Python
    Ver en GitHub↗861
  • aiidateam/aiida-coreAvatar de aiidateam

    aiidateam/aiida-core

    570Ver en GitHub↗

    The official repository for the AiiDA code

    Python
    Ver en GitHub↗570
  • apache/dolphinschedulerAvatar de apache

    apache/dolphinscheduler

    14,329Ver en GitHub↗

    DolphinScheduler is a distributed workflow orchestrator designed to manage and automate complex data processing pipelines. It functions as a data pipeline scheduler that coordinates multi-step tasks across distributed environments, ensuring reliable execution through defined dependencies and sequences. The platform utilizes a directed acyclic graph model to represent workflows, allowing users to define task relationships via a visual interface. It employs a master-worker architecture supported by a pluggable task plugin system, which enables the dynamic extension of task types without requiri

    Javaairflowazkabancloud-native
    Ver en GitHub↗14,329
  • apache/incubator-airflowAvatar de apache

    apache/incubator-airflow

    45,840Ver en GitHub↗

    This project is a Python workflow orchestration platform and programmatic data pipeline engine used to author, schedule, and monitor complex data pipelines. It functions as a directed acyclic graph manager and scheduler, allowing users to define data movement and transformation tasks as code to ensure precise execution order and maintainability. The platform distinguishes itself by treating workflows as code, enabling pipelines to be versioned and tested through a standard programming language. It utilizes a system of extensible operators to encapsulate integration logic and employs a templat

    Python
    Ver en GitHub↗45,840

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  • apache/oozieAvatar de apache

    apache/oozie

    729Ver en GitHub↗

    Mirror of Apache Oozie

    Java
    Ver en GitHub↗729
  • argoproj/argo-workflowsAvatar de argoproj

    argoproj/argo-workflows

    16,466Ver en 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
    Ver en GitHub↗16,466
  • arvados/arvadosAvatar de arvados

    arvados/arvados

    418Ver en GitHub↗

    An open source platform for managing and analyzing biomedical big data

    Go
    Ver en GitHub↗418
  • azkaban/azkabanAvatar de azkaban

    azkaban/azkaban

    4,504Ver en GitHub↗

    Azkaban is a distributed workflow manager and DAG-based job orchestrator designed as an enterprise batch processor. It serves as a Java-based workflow engine that schedules and executes complex job sequences across a cluster of executor servers, with specific functionality for managing big data workloads on Hadoop clusters. The system distinguishes itself through a distributed executor model that coordinates state via a shared database to ensure high availability. It employs a plugin-based architecture that allows for custom job types and system functionality extensions, including the ability

    Java
    Ver en GitHub↗4,504
  • brigadecore/brigadeAvatar de brigadecore

    brigadecore/brigade

    2,412Ver en GitHub↗

    Event-driven scripting for Kubernetes

    Go
    Ver en GitHub↗2,412
  • broadinstitute/cromwellAvatar de broadinstitute

    broadinstitute/cromwell

    1,069Ver en GitHub↗

    Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

    Scala
    Ver en GitHub↗1,069
  • bytechefhq/bytechefAvatar de bytechefhq

    bytechefhq/bytechef

    775Ver en GitHub↗

    Open-source platform that unifies AI agent orchestration and workflow automation — autonomy and precision in one platform.

    Java
    Ver en GitHub↗775
  • camunda/camunda-bpm-platformAvatar de camunda

    camunda/camunda-bpm-platform

    4,269Ver en GitHub↗

    Camunda is a business process automation platform and orchestration tool used to model, deploy, and monitor automated workflows and human-centric tasks. It features a BPMN workflow engine for executing processes based on the BPMN 2.0 standard and a DMN decision engine for automating business logic and rule evaluation. The platform is designed for flexibility through an embedded workflow library that allows the engine to be integrated directly into custom applications. It supports multi-tenant workflow management, enabling the secure separation of process definitions and instance data for mult

    Java
    Ver en GitHub↗4,269
  • chunelfeng/cgraphAvatar de ChunelFeng

    ChunelFeng/CGraph

    2,280Ver en GitHub↗

    【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流

    C++aiai-agentsdag
    Ver en GitHub↗2,280
  • cloudslang/cloud-slangAvatar de CloudSlang

    CloudSlang/cloud-slang

    241Ver en GitHub↗

    CloudSlang Language, CLI and Builder

    Java
    Ver en GitHub↗241
  • conductor-oss/conductorAvatar de conductor-oss

    conductor-oss/conductor

    31,962Ver en GitHub↗

    Conductor is a durable workflow engine designed to orchestrate complex, long-running business processes and autonomous agent loops. It functions as a stateful execution platform that persists the entire history of a process, ensuring that workflows remain reliable and recoverable across infrastructure failures, system restarts, and transient network errors. By managing task lifecycles, worker polling, and state transitions, it provides a centralized coordination layer for distributed systems. The platform distinguishes itself through its specialized support for AI agent orchestration, allowin

    Javadistributed-systemsdurable-executiongrpc
    Ver en GitHub↗31,962
  • copper-engine/copper-engineAvatar de copper-engine

    copper-engine/copper-engine

    285Ver en GitHub↗

    COPPER - a high performance Java workflow engine

    Java
    Ver en GitHub↗285
  • cordum-io/cordumAvatar de cordum-io

    cordum-io/cordum

    483Ver en 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
    Ver en GitHub↗483
  • couler-proj/coulerAvatar de couler-proj

    couler-proj/couler

    944Ver en GitHub↗

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

    Python
    Ver en GitHub↗944
  • creactiviti/piperAvatar de creactiviti

    creactiviti/piper

    500Ver en GitHub↗

    piper - a distributed workflow engine

    Java
    Ver en GitHub↗500
  • cylc/cylc-flowAvatar de cylc

    cylc/cylc-flow

    376Ver en GitHub↗

    Cylc: a general purpose workflow engine with a gift for cycling

    Python
    Ver en GitHub↗376
  • dagster-io/dagsterAvatar de dagster-io

    dagster-io/dagster

    14,974Ver en GitHub↗

    Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative modeling and version-controlled code. It functions as a workflow engine that treats data assets as first-class primitives, allowing teams to define, schedule, and monitor complex pipelines while maintaining clear visibility into lineage, dependencies, and data quality. The platform distinguishes itself by using a code-as-configuration framework that enables standard software engineering practices, such as unit testing and local mocking, to be applied directly to data workflows.

    Pythonanalyticsdagsterdata-engineering
    Ver en GitHub↗14,974
  • dapr/daprAvatar de dapr

    dapr/dapr

    25,510Ver en GitHub↗

    Dapr is a distributed application runtime that provides a sidecar-based infrastructure layer for building resilient microservices and event-driven applications. By utilizing a sidecar proxy pattern, it abstracts complex infrastructure tasks into standardized, network-accessible APIs, allowing developers to focus on application logic while the runtime handles service discovery, state management, and secure communication. The platform distinguishes itself through a pluggable component architecture and language-agnostic design, enabling services written in any programming language to interact wi

    Gocontainersevent-drivenkubernetes
    Ver en GitHub↗25,510
  • elsa-workflows/elsa-coreAvatar de elsa-workflows

    elsa-workflows/elsa-core

    7,629Ver en GitHub↗

    Elsa Core is a workflow engine framework designed for defining, executing, and managing long-running business processes. It functions as a distributed workflow orchestrator and event-driven trigger system, capable of operating as a multi-tenant platform with secure data isolation. The project distinguishes itself through a flexible approach to workflow definitions, supporting a visual drag-and-drop designer, programmatic C# definitions, and portable JSON specifications. It provides a highly extensible architecture allowing for the development of custom activities and the use of a dynamic expr

    C#csharpdotnetelsa
    Ver en GitHub↗7,629
  • fieldryand/goflowAvatar de fieldryand

    fieldryand/goflow

    482Ver en GitHub↗

    Simple but powerful DAG scheduler and dashboard

    Go
    Ver en GitHub↗482
  • fission/fission-workflowsAvatar de fission

    fission/fission-workflows

    381Ver en GitHub↗

    Workflows for Fission: Fast, reliable and lightweight function composition for serverless functions

    Go
    Ver en GitHub↗381
  • floraison/florAvatar de floraison

    floraison/flor

    287Ver en GitHub↗

    a workflow engine

    Ruby
    Ver en GitHub↗287
  • formlio/formlAvatar de formlio

    formlio/forml

    106Ver en GitHub↗

    ForML - A development framework and MLOps platform for the lifecycle management of data science projects

    Python
    Ver en GitHub↗106
  • galaxyproject/galaxyAvatar de galaxyproject

    galaxyproject/galaxy

    1,791Ver en GitHub↗

    Data intensive science for everyone.

    Python
    Ver en GitHub↗1,791
  • activepieces/activepiecesAvatar de activepieces

    activepieces/activepieces

    20,887Ver en GitHub↗

    Activepieces is an open-source, self-hosted workflow automation platform designed to connect third-party applications through modular triggers and actions. It provides a low-code integration framework that allows users to build, manage, and execute complex business logic sequences within isolated, sandboxed environments. The platform distinguishes itself through its focus on embeddability and enterprise-grade security. It features an embedded automation builder that can be integrated into external applications via iframes, supported by comprehensive identity and access management tools such a

    TypeScriptai-agentai-agent-toolsai-agents
    Ver en GitHub↗20,887