Software Alternatives, Accelerators & Startups

Weights & Biases VS Google Cloud Build

Compare Weights & Biases VS Google Cloud Build and see what are their differences

Weights & Biases logo Weights & Biases

Developer tools for deep learning research

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.
  • Weights & Biases Landing page
    Landing page //
    2023-07-24
  • Google Cloud Build Landing page
    Landing page //
    2023-09-14

Weights & Biases videos

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Google Cloud Build videos

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

Category Popularity

0-100% (relative to Weights & Biases and Google Cloud Build)
Data Science And Machine Learning
Continuous Integration
0 0%
100% 100
AI
100 100%
0% 0
Developer Tools
46 46%
54% 54

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.

Weights & Biases mentions (0)

We have not tracked any mentions of Weights & Biases yet. Tracking of Weights & Biases recommendations started around Mar 2021.

Google Cloud Build mentions (15)

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What are some alternatives?

When comparing Weights & Biases 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.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

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

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

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