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dagster vs asya
dagster logo
dagster
★ 15.6k
vs
asya logo
asya
★ 53

dagster vs asya

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.; asya: Asya is a queue-based actor framework designed for orchestrating AI/ML workloads on Kubernetes, enabling independent scaling and dynamic pipelines. It allows data scientists to write pure Python functions while handling queues, routing, scaling, and monitoring with zero infrastructure code.

01

TL;DR

dagster logoChoose dagster if…

Building reliable data platforms

asya logoChoose asya if…

Multi-step AI/ML pipelines (e.g., document processing, image pipelines, LLM workflows).

02

Side-by-Side Comparison

Field
dagster logodagster
asya logoasya
Category
Workflow Automation
Vision / Multimodal
Stars
★ 15.6k
★ 53
License
Apache-2.0
Apache-2.0
Updated
2d ago
6d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Data Orchestration, MLOps, Data Pipelines
Actor Framework, Kubernetes, AI/ML Orchestration
03

Features

dagster logodagster
01Software-defined Assets
02Declarative Programming Model
03Powerful Local Development
04Robust Operational UI (Dagit)
05Extensive Integrations
asya logoasya
01Independent scaling: Each actor scales 0→N based on its own queue depth.
02Zero infrastructure code: Write pure Python functions without dependencies for queues, routing, or retries.
03Dynamic pipelines: Routes are data, not code, allowing modification at runtime.
04Cost efficiency: KEDA autoscaling from zero to max, paying only for active processing.
04

Use Cases

dagster logodagster
↳Building reliable data platforms
↳Developing MLOps workflows
↳Automating data analytics and reporting
asya logoasya
↳Multi-step AI/ML pipelines (e.g., document processing, image pipelines, LLM workflows).
↳Event-driven workloads (e.g., webhook processing, batch predictions, async API backends).
↳Cost-sensitive deployments (e.g., GPU inference, bursty traffic, dev/staging environments).
05

Best For

dagster logodagster
Most PopularTrendingEssential
asya logoasya
TrendingWorkflow AutomationLLM Infra
FAQ

FAQ

What is the difference between dagster and asya?
Both dagster and asya are in the Workflow Automation category. dagster has 15.6k stars, while asya has 53 stars.
Which is better, dagster or asya?
The best choice depends on your use case. Choose dagster if Building reliable data platforms, and asya if Multi-step AI/ML pipelines (e.g., document processing, image pipelines, LLM workflows)..
Is dagster free or open source?
Yes, dagster is open source on GitHub (Apache-2.0).
Is asya free or open source?
Yes, asya is open source on GitHub (Apache-2.0).
→

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