Software Alternatives, Accelerators & Startups

Weights & Biases VS Deployment.io

Compare Weights & Biases VS Deployment.io and see what are their differences

Weights & Biases logo Weights & Biases

Developer tools for deep learning research

Deployment.io logo Deployment.io

Deployment.io makes it super easy for startups and agile engineering teams to automate application deployments on AWS cloud.
  • Weights & Biases Landing page
    Landing page //
    2023-07-24
  • Deployment.io deployment home
    deployment home //
    2024-03-23
  • Deployment.io deployment repositories
    deployment repositories //
    2024-03-23
  • Deployment.io deployment environments
    deployment environments //
    2024-03-23
  • Deployment.io deployment deployments
    deployment deployments //
    2024-03-23

Deployment simplifies continuous code integration and delivery automation for startups and agile engineering teams on the AWS cloud, eliminating the need for DevOps engineering. A developer can deploy static sites, web services, and environments without knowledge of AWS or DevOps. Deployment supports previews on pull requests and automatic deployments on code push without manual setup or scripting. It enables engineering teams to focus on tasks that add customer value instead of worrying about DevOps-related grunt work.

Deployment.io

$ Details
freemium
Platforms
AWS GitHub GitLab
Release Date
2024 February

Weights & Biases features and specs

No features have been listed yet.

Deployment.io features and specs

  • Automatic Deployments: Automated deployments to AWS cloud
  • Previews: Previews deployed to AWS on pull requests
  • Slack Alerts: Slack alerts for for any updates to deployments
  • Unlimited static sites: Deploy static sites with one click without any AWS setup
  • Unlimited web services: Deploy web services and backend APIs without any AWS setup
  • Unlimited environments: Create development, staging, and production environments on the fly on your AWS account
  • Unlimited repositories: Connect your GitHub and GitLab repositories for automated CI/CD

Weights & Biases videos

No Weights & Biases videos yet. You could help us improve this page by suggesting one.

Add video

Deployment.io videos

Deploying a Golang API on AWS using deployment.io

Category Popularity

0-100% (relative to Weights & Biases and Deployment.io)
Data Science And Machine Learning
DevOps Tools
0 0%
100% 100
AI
100 100%
0% 0
Cloud Computing
0 0%
100% 100

Questions and Answers

As answered by people managing Weights & Biases and Deployment.io.

What's the story behind your product?

Deployment.io's answer:

I led engineering teams at early-stage startups and realized that startups waste 70% of valuable engineering time on tedious, non-coding tasks that they can easily automate.

To solve this problem, we've built Deployment.io so engineering teams at startups can focus on writing more code that adds value and helps them achieve PMF faster.

Which are the primary technologies used for building your product?

Deployment.io's answer:

ReactJs using Typescript, GatsbyJs using Typescript, GoLang, and AWS

What makes your product unique?

Deployment.io's answer:

Deployment.io is built and designed for startups. Our customers can onboard in 5 minutes and start deploying apps to AWS without any DevOps or AWS knowledge. Other platforms are complex and require scripting or DevOps knowledge. They are built for bigger companies with a lot of resources.

Why should a person choose your product over its competitors?

Deployment.io's answer:

Startups and agile engineering teams should choose Deployment.io for the simplicity and ease of use. Our competitors are complex and are designed for bigger companies.

How would you describe your primary audience?

Deployment.io's answer:

For startups, speed and focus are crucial. Our primary audience is engineering teams at startups that want to focus on building code that adds value and not on DevOps related grunt work.

User comments

Share your experience with using Weights & Biases and Deployment.io. 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 Weights & Biases and Deployment.io

Weights & Biases Reviews

We have no reviews of Weights & Biases yet.
Be the first one to post

Deployment.io Reviews

  1. Super easy deployments to AWS

    Deploying web apps on AWS has never been this easy and it also takes care of scaling based on usage.

What are some alternatives?

When comparing Weights & Biases and Deployment.io, 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.

Harness - Automated Tests For Your Web App

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.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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.

Render UIKit - React-inspired Swift library for writing UIKit UIs