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Covidence VS Swift AI

Compare Covidence VS Swift AI and see what are their differences

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Build powerful web apps, and create your custom AI apps, no code needed! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Covidence logo Covidence

The world's leading software for managing and streamlining your systematic review. Discover how to do a systematic review in less time, while maintaining quality and accuracy.

Swift AI logo Swift AI

Artificial intelligence and machine learning library written in Swift.
  • Covidence Landing page
    Landing page //
    2021-09-27
  • Swift AI Landing page
    Landing page //
    2023-10-19

Covidence videos

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Using Covidence for Conducting Systematic Reviews

More videos:

  • Review - Covidence: Accelerate Your Systematic Review
  • Demo - Covidence Demo

Swift AI videos

No Swift AI videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Covidence and Swift AI)

Covidence

Swift AI

Systematic Reviews
100 100%
Systematic Reviews
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Food And Beverage
100 100%
Food And Beverage
0% 0
AI
0 0%
AI
100% 100

User comments

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What are some alternatives?

When comparing Covidence and Swift AI, you can also consider the following products

Distiller - Distiller's hosted continuous integration platform takes the pain out of mobile development through automated build, test, and deployment of your iOS apps.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

DistillerSR by Evidence Partners - DistillerSR automates every stage of your literature reviews to produce evidence-based research faster and more accurately.

TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Drammer Whisky App - User friendly app to track & share your whisky experiences 🥃

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

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