Software Alternatives, Accelerators & Startups

Comet.ml VS KintoHub

Compare Comet.ml VS KintoHub and see what are their differences

Comet.ml logo Comet.ml

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

KintoHub logo KintoHub

A modern fullstack app platform
  • Comet.ml Landing page
    Landing page //
    2023-09-16
  • KintoHub Landing page
    Landing page //
    2023-03-01

KintoHub is an all-in-one platform to combine and deploy your backend services, websites, cron jobs, databases and everything your app needs in one place.

KintoHub

$ Details
freemium
Platforms
Browser Web PHP ReactJS Wordpress Cloud Python Java JavaScript Node JS Go Laravel REST API
Release Date
2020 July

Comet.ml videos

Running Effective Machine Learning Teams: Common Issues, Challenges & Solutions | Comet.ml

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

KintoHub videos

Enabling Cloud-Native App Builds with KintoHub

Category Popularity

0-100% (relative to Comet.ml and KintoHub)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Notebooks
100 100%
0% 0
Cloud Computing
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 Comet.ml and KintoHub

Comet.ml Reviews

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KintoHub Reviews

  1. It's like the modern heroku!

    It's very easy to deploy anything on KintoHub. It's really a full-stack solution, unlike many others that have obstacles when deploying a database or aggressive pricing. The free tier is very generous to get started with a hobby app and try it out first. If you add your card you can get more flexibility as well with the advanced customizations on the resources.

    🏁 Competitors: Heroku, Netlify, Firebase, Okteto, Vercel
    👍 Pros:    Super simple|Language agnostic|You're not locked in. it's easy to move here.|Fully customized cloud resources|Generouous free plan|Very responsive support on discord
    👎 Cons:    It's a new platform so it's really great for hobby projects at the moment|No teams yet

What are some alternatives?

When comparing Comet.ml and KintoHub, you can also consider the following products

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.

Epsagon - Track costs and fix your serverless application.

Spell - Deep Learning and AI accessible to everyone

Interspect - Test the data you send to Microservices & APIs

Weights & Biases - Developer tools for deep learning research

goa - A design driven approach for building microservices in Go