Software Alternatives & Reviews

QuickAI VS DataStories

Compare QuickAI VS DataStories and see what are their differences

QuickAI logo QuickAI

Quickly experiment with state-of-the-art ML models

DataStories logo DataStories

DataStories is an easy to use augmented analytics software. It is uniquely suitable for problems supported by somewhat structured data of unknown quality with too many variables of unknown significance.
  • QuickAI Landing page
    Landing page //
    2023-08-23
  • DataStories Landing page
    Landing page //
    2023-10-07

QuickAI videos

QuickAI Review

DataStories videos

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Category Popularity

0-100% (relative to QuickAI and DataStories)
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
AI
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, QuickAI seems to be more popular. It has been mentiond 1 time 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.

QuickAI mentions (1)

  • QuickAI version 2 released!
    I originally released QuickAI here. I am very excited to announce version 2 of QuickAI. Source: over 2 years ago

DataStories mentions (0)

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

What are some alternatives?

When comparing QuickAI and DataStories, you can also consider the following products

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

Minitab - Minitab helps businesses increase efficiency and improve quality through smart data analysis.

Apple Core ML - Integrate a broad variety of ML model types into your app

SAS JMP - Interactive, visual statistical data analysis from SAS.

Aquarium - Improve ML models by improving datasets they’re trained on

Design-Expert - Design of Experiment software.