Software Alternatives & Reviews
Register | Login

Polyaxon VS H2O.ai

Compare Polyaxon VS H2O.ai and see what are their differences

Momen
Build powerful web apps, and create your custom AI apps, no code needed! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Polyaxon logo Polyaxon

Get familiar with Polyaxon - Open source machine learning on Kubernetes, deep Learning on Kubernetes.

H2O.ai logo H2O.ai

Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.
  • Polyaxon Landing page
    Landing page //
    2022-07-09
  • H2O.ai Landing page
    Landing page //
    2023-10-25

Polyaxon videos

+ Add

Scaling and reproducing deep learning on Kubernetes with Polyaxon - Mourad Mourafiq

More videos:

  • Review - Scalable Deep Learning on Kubernetes with Polyaxon (Interview)
  • Review - Polyaxon v1.1.6

H2O.ai videos

+ Add

[Demo] Predicting Healthcare Outcomes with H2O.ai

More videos:

  • Review - H2O Just Add Water was the weirdest show...
  • Review - H2O wireless phone service full review 2019
  • Review - H2O Wireless:IS IT WORTH IT Review?
  • Review - H2O.ai VS. OBSERVE.ai: What The AI Race To Market Means
  • Review - H2O.ai Launches H2OGPT and LLM Studio: Build Your Own Enterprise Grade Chatbots

Category Popularity

0-100% (relative to Polyaxon and H2O.ai)

Polyaxon

H2O.ai

Data Science And Machine Learning
12 12%
Data Science And Machine Learning
88% 88
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
AI
0 0%
AI
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0

Questions and Answers

As answered by people managing Polyaxon and H2O.ai.

What makes your product unique?

H2O.ai's answer:

At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.

User comments

Share your experience with using Polyaxon and H2O.ai. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Polyaxon and H2O.ai

Polyaxon Reviews

We have no reviews of Polyaxon yet.
Be the first one to post

H2O.ai Reviews

Top 7 Predictive Analytics Tools
If a company is interested in an open-source predictive analytics tool with data mining features, put H2O at the top of the list. It offers fast performance, affordability, advanced capabilities, and extreme flexibility. The dashboard for H2O offers a veritable smorgasbord of actionable insights. However, this tool is more for the expert data science crowd than for citizen...
Source: www.datamation.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: H2O.ai offers a number of AI and data science products, headlined by its commercial platform H2O Driverless AI. Driverless AI is a fully open-source, distributed in-memory machine learning platform with linear scalability. H2O supports widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, Polyaxon should be more popular than H2O.ai. 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.

Polyaxon mentions (4)

  • Any MLOps platform you use?
    If you're not concerned about self-hosting, WandB is one of the more fully featured training monitoring tools (I've used it in the past without any issues but the lack of data and training privacy and lack of self-hosting possibilities makes it a hard no for anything that isn't scholastic). Polyaxon is an alternative but rewriting all your variable logging to conform to their requirements makes it very difficult... Source: about 1 year ago
  • [D] Kubernetes for ML - how are y'all doing it?
    We use Polyaxon and it’s pretty good. Source: about 2 years ago
  • [D] Productionalizing machine learning pipelines for small teams
    For running experiments, http://polyaxon.com/ is a really good free open-source package that has lots of nice integrations so you can quickly run experiments in k8s but it might be overkill in some cases. Source: over 2 years ago
  • [D] MLOps Platform Comparison and Preference (Kubeflow/MLFlow/Metaflow/MLRun/Gradient/Valohai/Others)
    I would also look into https://polyaxon.com/, I have used it on AWS and GCP the free open source version:. Source: about 3 years ago

H2O.ai mentions (1)

  • Nginx is now the most popular web server, overtaking Apache
    How about H2O? It's supposed to be significantly faster than Nginx: https://h2o.examp1e.net/. - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing Polyaxon and H2O.ai, you can also consider the following products

Pipelines - Pipelines Inc.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Loading...