Software Alternatives, Accelerators & Startups

Dagster VS DepHell

Compare Dagster VS DepHell and see what are their differences

Dagster logo Dagster

The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

DepHell logo DepHell

:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump ver...
  • Dagster Landing page
    Landing page //
    2023-03-22
  • DepHell Landing page
    Landing page //
    2023-08-28

Dagster videos

Airflow Vs. Dagster: The Full Breakdown!

More videos:

  • Review - Dagster Data Orchestration 10 min walkthrough
  • Review - Apache Airflow vs. Dagster

DepHell videos

No DepHell videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Dagster and DepHell)
Analytics
100 100%
0% 0
Workflow Automation
80 80%
20% 20
Data Integration
100 100%
0% 0
DevOps Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dagster and DepHell

Dagster Reviews

5 Airflow Alternatives for Data Orchestration
Dagster is an open-source data orchestration system that allows users to define their data assets as Python functions. Once defined, Dagster manages and executes these functions based on a user-defined schedule or in response to specific events. Dagster can be used at every stage of the data development lifecycle, from local development and unit testing to integration...
Top 8 Apache Airflow Alternatives in 2024
Unlike Airflow, which supports any production environment, Dagster concentrates on cloud services and supports modern data stacks. Being cloud-native and container-native, this solution makes the scheduling and execution processes easier. Dagster was created with such specific goals in mind: designing ETL data pipelines, implementing machine learning curves, and managing...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
Dagster is a Machine Learning, Analytics, and ETL Data Orchestrator. Since it handles the basic function of scheduling, effectively ordering, and monitoring computations, Dagster can be used as an alternative or replacement for Airflow (and other classic workflow engines).
Source: hevodata.com

DepHell Reviews

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Social recommendations and mentions

Based on our record, DepHell should be more popular than Dagster. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Dagster mentions (2)

DepHell mentions (4)

  • How to generate setup.py from pyproject.toml
    I've found https://github.com/dephell/dephell but seems to be outdated. Source: over 1 year ago
  • Should i Continue this Project or Abandon it? ; https://github.com/iamDyeus/KnickAI
    I had a few relatively famous projects (like dephell), and at some point I lost my sleep because I was "fixing bugs" in it in my head in the middle of the night. Archiving it, closing issues in everything else, and starting to just write projects for my own fun only was the best decision I ever made. Don't make my mistakes. Don't ask random people on the internet what you should do. Do what you want to do and... Source: almost 2 years ago
  • PDM: A Modern Python Package Manager
    You jest and yet... https://github.com/dephell/dephell Dephell is a converter for python packaging systems. It can turn poetry files into requirements.txt, or setuptools' setup.py into pipenv's Pipfile etc. Python Packaging: There is More Than One Way to Do It. - Source: Hacker News / over 2 years ago
  • [D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS
    Not necessarily. You can use Dephell (https://github.com/dephell/dephell) to convert from poetry to the old-fashioned requirements.txt. Source: about 3 years ago

What are some alternatives?

When comparing Dagster and DepHell, you can also consider the following products

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.

Kestra.io - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.

Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.

n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

Activeeon - ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments: Windows, Linux, Mac, Unix, etc.