Software Alternatives, Accelerators & Startups

DepHell VS Kazuhm

Compare DepHell VS Kazuhm and see what are their differences

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 Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit.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...

Kazuhm logo Kazuhm

Manage your containerized workloads through Kazuhm's easy to use distributed computing technology. Kazuhm saves cloud costs, improves security and latency.
  • DepHell Landing page
    Landing page //
    2023-08-28
  • Kazuhm Landing page
    Landing page //
    2021-07-27

Kazuhm SaaS platform unifies the compute resources of an organization from desktops, to servers, to cloud, to edge, creating a private grid to place and process containerized workloads, optimize IT costs, security, and performance.

Through an easy user interface, customers leverage Kazuhm today to simplify Kubernetes and the deployment of popular data science applications, build their own private distributed compute networks, run workloads on-premises enabling the lowest possible latency, and easily manage multi-cloud and hybrid cloud environments.

Kubernetes-Made-Easy -- Set up and cluster deployment is super quick with container placement and host monitoring intuitively simple.

Multi-Cloud, Hybrid-Cloud Management -- Escape from vendor lock-in and centrally manage all your Public Cloud Hosts for FREE.

Data Science On Demand -- Simplify deployment of Spark and Jupyter and process workloads both on-premise and in the cloud.

Offset Cloud Costs -- Get “Cloud Smart”. Process containerized workloads on your Linux and Windows desktops and servers to offset cloud costs.

Low-Latency Workload Processing -- Reduce latency and improve performance by processing your data on-premise or at the edge – when milliseconds count.

Distributed Computing Anywhere -- Connect your desktops, both Windows and Linux, and servers or even your edge devices to create a powerful compute fabric.

Category Popularity

0-100% (relative to DepHell and Kazuhm)
Workflow Automation
100 100%
0% 0
DevOps Tools
44 44%
56% 56
Containers As A Service
48 48%
52% 52
Cloud Computing
0 0%
100% 100

User comments

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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.

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

Kazuhm mentions (0)

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

What are some alternatives?

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

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

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.

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

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.

Rancher - Open Source Platform for Running a Private Container Service