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Activeeon VS DepHell

Compare Activeeon VS DepHell and see what are their differences

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Activeeon logo 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.

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 Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit.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...
  • Activeeon Landing page
    Landing page //
    2022-08-19
  • DepHell Landing page
    Landing page //
    2023-08-28

Activeeon videos

+ Add

Activeeon Training Session 1: General Overview of ProActive software

More videos:

  • Review - Orchestrate Microsoft PRE-BUILT + CUSTOM AI Machine Learning with ActiveEon Workflows
  • Review - Activeeon Training Session 4: Hands on AI, ML, DL, AutoML, Visualization, Python & Jupyter

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 Activeeon and DepHell)

Activeeon

DepHell

DevOps Tools
55 55%
DevOps Tools
45% 45
Workflow Automation
52 52%
Workflow Automation
48% 48
Containers As A Service
53 53%
Containers As A Service
47% 47
Workflows
56 56%
Workflows
44% 44

User comments

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Reviews

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

Activeeon Reviews

9 Control-M Alternatives & Competitors In 2023
Activeeon provides user interfaces to create workflows, manage job queues, schedule work, and administer the infrastructure. It gives you a single point for control over your IT and business processes. It includes error management, notification, file handling, connectors, docker support and file handling. It can automate and schedule workloads of any size.
Source: www.softwaretestingmaterial.com

DepHell Reviews

We have no reviews of DepHell yet.
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Social recommendations and mentions

Based on our record, DepHell seems to be more popular. 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.

Activeeon mentions (0)

We have not tracked any mentions of Activeeon yet. Tracking of Activeeon recommendations started around Mar 2021.

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 Activeeon and DepHell, you can also consider the following products

Mesosphere DCOS - Mesosphere DCOS organizes your entire infrastructure as if it was a single computer.

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

Kazuhm - Manage your containerized workloads through Kazuhm's easy to use distributed computing technology. Kazuhm saves cloud costs, improves security and latency.

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

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

Shipyard - Data orchestration doesn't have to be complex. Launch, monitor, and share data pipelines in minutes, not weeks.

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