dagster
★ 16.3k
vs
flow-like
★ 967
dagster vs flow-like
dagster: Dagster is a data orchestrator purpose-built for data platforms in the MLOps era, helping users define, develop, and operate data assets. It offers a powerful programming model, local development experience, and a robust UI for observing and debugging pipelines in production.; flow-like: Flow-Like is a visual workflow automation platform designed to reveal the full data story behind your automated processes. It enables users to build type-safe workflows with drag-and-drop blocks, providing complete data lineage and audit trails to eliminate guesswork.
01
TL;DR
dagsterWorkflow Automation · ★ 16.3k
When to choose:
- You need an asset-centric data and AI orchestration platform that tracks data dependencies, partition lineages, and observability in Python.
- You want local development ergonomics, declarative asset definitions, and unified orchestration across dbt, ML models, and data pipelines.
When to skip:
- You need simple, lightweight agent conversation loops; Dagster is an enterprise data engineering orchestrator, not a chat bot loop.
- You need durable function workflows with arbitrary sleeps and human-in-the-loop approvals without asset abstractions; Temporal is simpler for that.
flow-likeWorkflow Automation · ★ 967
Data Integration and ETL Pipelines
02
Side-by-Side Comparison
Field
dagsterflow-likeCategory
Workflow Automation
Workflow Automation
Stars
★ 16.3k
★ 967
License
Apache-2.0
NOASSERTION
Install Command
pip install dagster dagster-webserver
git clone https://github.com/TM9657/flow-like.git && cd flow-like && bun install && bun run build:desktop
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
Data Orchestration, MLOps, Data Pipelines
Workflow Automation, No-code, Rust
03
Features
dagster01Software-defined Assets
02Declarative Programming Model
03Powerful Local Development
04Robust Operational UI (Dagit)
05Extensive Integrations
flow-like01Fully Typed Workflows with Complete Data Lineage
02High-Performance Rust-based Engine
03AI-Powered Automation with LLMs and ML models
04Flexible Deployment (Local, Edge, Cloud, On-prem)
05Fully Customizable and White-Label Ready
04
Use Cases
dagster↳Building reliable data platforms
↳Developing MLOps workflows
↳Automating data analytics and reporting
flow-like↳Data Integration and ETL Pipelines
↳AI-Powered Workflows (e.g., content generation, document processing)
↳Business Process Automation and Approval Workflows
05
Best For
dagsterMost PopularEssentialTrending
flow-likeTrending
FAQ
FAQ
What is the difference between dagster and flow-like?
Both dagster and flow-like are in the Workflow Automation category. dagster has 16.3k stars, while flow-like has 967 stars.
Which is better, dagster or flow-like?
The best choice depends on your use case. Choose dagster if Building reliable data platforms, and flow-like if Data Integration and ETL Pipelines.
Is dagster free or open source?
Yes, dagster is open source on GitHub (Apache-2.0).
Is flow-like free or open source?
Yes, flow-like is open source on GitHub (NOASSERTION).
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