Couler vs Wrangle
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is easy drag-and-drop process automation for busy teams. We improve efficiency for recurring team-to-team handoffs, like customer and employee on-boarding, sales quote approval, and contract management. We do this by documenting, automating, and tracking your core processes, keeping the workflow moving via Slack, email, and over 2000 other apps. Wrangle ensures faster-decision making, accountability, and better performance in any process, all with no coding necessary. | It aims to provide a unified interface for constructing and managing workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. |
Drag-and-drop workflow designer;Workflow automation;Notifications in Slack and email;Workflow analytics | Unified interface and imperative programming style for defining workflows with automatic construction of directed acyclic graph (DAG);
Extensible to support various workflow engines;
Reusable steps for tasks such as distributed training of machine learning models;
Automatic workflow and resource optimizations under the hood |
Statistics | |
GitHub Stars - | GitHub Stars 943 |
GitHub Forks - | GitHub Forks 88 |
Stacks 0 | Stacks 0 |
Followers 1 | Followers 2 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Wrangle, Couler?
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 lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
GitHub Actions
It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.
Apache Beam
It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.
Zenaton
Developer framework to orchestrate multiple services and APIs into your software application using logic triggered by events and time. Build ETL processes, A/B testing, real-time alerts and personalized user experiences with custom logic.
Luigi
It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Unito
Build and map powerful workflows across tools to save your team time. No coding required. Create rules to define what information flows between each of your tools, in minutes.
Shipyard
na
Flow-Like
Mission-critical automation you can audit, control and run on-prem. No black boxes. No silent failures. No data leaks. Built for teams that cannot afford uncertainty.
ETLR
Production-grade workflow automation. No drag-and-drop required. Build, version, and deploy your workflows with YAML.
Vison AI
Hire AI Employees that deliver Human-Quality work. Automate repetitive tasks, scale effortlessly, and focus on business growth without increasing head count.
