Hugging Face vs. Mage

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hugging Face
Score 9.6 out of 10
N/A
Hugging Face is an open-source provider of natural language processing (NLP) technologies.
$9
per month
Mage
Score 8.6 out of 10
N/A
Mage is a tool that helps product developers use AI and their data to make predictions. Use cases might be predictions for churn prevention, product recommendations, customer lifetime value and forecasting sales.
$0
per user
Pricing
Hugging FaceMage
Editions & Modules
Pro Account
$9
per month
Enterprise Hub
$20
per month per user
Hobby
$0
per user
Pro
$2,000
per month per user
Offerings
Pricing Offerings
Hugging FaceMage
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details—Contact vendor for pricing information.
More Pricing Information
Community Pulse
Hugging FaceMage
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
Hugging FaceMage
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.2 out of 10
Skyvia
Skyvia
Score 9.8 out of 10
Medium-sized Companies
Posit
Posit
Score 9.8 out of 10
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 9.0 out of 10
Enterprises
Posit
Posit
Score 9.8 out of 10
Control-M
Control-M
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Hugging FaceMage
Likelihood to Recommend
9.4
(6 ratings)
8.5
(2 ratings)
User Testimonials
Hugging FaceMage
Likelihood to Recommend
Hugging Face
If an organisation has more access to data and have access to high end computers like GPUs it’s recommended to use Hugging face as it will give better accuracy than any other models. If an organisation having less data and has less access to GPUsis looking for decent performance then traditional algorithms are more appropriate than hugging face
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Mage
Mage is well-suited for probability score for uptake of every product is calculated for customers using ML/ Regression models, choosing customers for a product/ Top products for a customer, based on the requirement and Identifying popular product combinations using association rules from Market Basket Analysis (or affinity Analysis)\Bundle these products as combos.
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Pros
Hugging Face
  • Model APIs
  • Hugging Face Spaces for deploying demo apps
  • Latest updated models available easily
  • Vast support for language parsing and other relevant tasks
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Mage
  • Ranking algorithms.
  • Cloud-based tool.
  • Increase user engagement.
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Cons
Hugging Face
  • Most of the Hugging face models are of big size, hence difficult to work if there is no access to high computational system like GPU.
  • It’s good to have some visualization tool in hugging face for viewing model architecture.
  • I recommend to implement hugging face lite version so that it can run on any system with less specifications.
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Mage
  • Acquisition Contribution.
  • Business Intelligence Reporting.
  • Data Destinations.
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Alternatives Considered
Hugging Face
There are some other services offer similar capacity as to Hugging Face, but not entirely the same. For example, amazon web services have a machine learning service called Comprehend, which offer a set of easy to use APIs to do machine translation and entity recognition and some other common NLP use case.
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Mage
Mage was the easiest in terms of ease of implementation due to its no-code functionality. However, Mage doesn't have a whole ecosystem like AWS and slightly falls behind there.
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Return on Investment
Hugging Face
  • Hugging Face is cost and time saving.
  • Pay is less, you pay what you use, doesn't affect much.
  • Overall positive impact on business.
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Mage
  • Business Understanding.
  • Data Acquisition and Understanding.
  • Data Modeling and Evaluation.
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ScreenShots

Hugging Face Screenshots

Screenshot of