Software Alternatives, Accelerators & Startups

Waydev VS Amazon Machine Learning

Compare Waydev VS Amazon Machine Learning and see what are their differences

Waydev logo Waydev

Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • Waydev Landing page
    Landing page //
    2023-09-13

Waydev helps managers to move from a feeling driven to a data-driven approach. Waydev includes concrete metrics for your daily stand-ups, 1-to-1 meetings, checking the history of the engineers work and benchmarking your stats with the industry.

  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

Waydev

Website
waydev.co
$ Details
freemium $449.0 / Annually (per active engineer)
Platforms
Windows Browser Mac OSX Linux REST API PHP
Release Date
2019 January

Waydev videos

Waydev Demo

Amazon Machine Learning videos

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Category Popularity

0-100% (relative to Waydev and Amazon Machine Learning)
Data Dashboard
100 100%
0% 0
AI
0 0%
100% 100
Analytics
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

Share your experience with using Waydev and Amazon Machine Learning. For example, how are they different and which one is better?
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Social recommendations and mentions

Amazon Machine Learning might be a bit more popular than Waydev. We know about 2 links to it since March 2021 and only 2 links to Waydev. 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.

Waydev mentions (2)

  • Which project management tools implement agile development?
    For example, in our traditional approach, every step and process is defined and has to be adhered to. Any change has to go through multiple approvals. The scope in itself has a very limited scope or flexibility towards change. I am on the fence looking for resources and tools that will help to slowly execute and implement these changes. With regards to resources, I am currently looking at the scrum guide and with... Source: almost 2 years ago
  • How is Software Development Analytics increasing Engineering Efficiency?
    When you’re ready to translate data into greater visibility, and this visibility into faster, more efficient teams, you can start looking at development analytics platforms like Waydev. - Source: dev.to / over 2 years ago

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago

What are some alternatives?

When comparing Waydev and Amazon Machine Learning, you can also consider the following products

GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.

Lobe - Visual tool for building custom deep learning models

Haystack Analytics - Ship faster and improve team satisfaction with engineering analytics powered by your Github data.

Apple Machine Learning Journal - A blog written by Apple engineers