Software Alternatives, Accelerators & Startups

Comet.ml VS Google Cloud Build

Compare Comet.ml VS Google Cloud Build 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.

Google Cloud Build logo Google Cloud Build

A fully managed continuous integration, delivery, & deployment platform that lets you build, test, and deploy in the cloud. Focus on coding by running fast, consistent, reliable automated builds.
  • Comet.ml Landing page
    Landing page //
    2023-09-16
  • Google Cloud Build Landing page
    Landing page //
    2023-09-14

Comet.ml videos

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

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

Google Cloud Build videos

[Full Workshop] Build a Multi-Step Google Cloud Build Pipeline from Scratch!

Category Popularity

0-100% (relative to Comet.ml and Google Cloud Build)
Data Science And Machine Learning
Continuous Integration
0 0%
100% 100
Machine Learning
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Build seems to be more popular. It has been mentiond 15 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.

Comet.ml mentions (0)

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

Google Cloud Build mentions (15)

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What are some alternatives?

When comparing Comet.ml and Google Cloud Build, 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.

Data Fabric - Data Fabric is an architecture and set of data services that provide consistent capabilities across a choice of endpoints spanning on-premises and multiple cloud environments.

Spell - Deep Learning and AI accessible to everyone

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Weights & Biases - Developer tools for deep learning research

AWS CodePipeline - Continuous delivery service for fast and reliable application updates