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Propel VS Scale Nucleus

Compare Propel VS Scale Nucleus and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Propel logo Propel

Propel is a customer-centric PLM software built on Salesforce App Cloud platform.

Scale Nucleus logo Scale Nucleus

The mission control for your ML data
  • Propel Landing page
    Landing page //
    2023-08-04
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20

Propel videos

+ Add

Giant Propel Advanced SL Disc | Review | Cycling Weekly

More videos:

  • Tutorial - How to Earn 5.25X Wells Fargo Propel Amex Credit Card Review
  • Review - Giant 2020 Propel Advanced Pro 1 Disc Bike Review from Crossroads Cyclery

Scale Nucleus videos

+ Add

Using Scale Nucleus & Rapid to Label New Datasets Efficiently

More videos:

  • Review - Scale Nucleus: Send to Annotation
  • Review - Scale Nucleus: Find Missing Annotations

Category Popularity

0-100% (relative to Propel and Scale Nucleus)

Propel

Scale Nucleus

Project Management
100 100%
Project Management
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0
AI
0 0%
AI
100% 100

User comments

Share your experience with using Propel and Scale Nucleus. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Scale Nucleus seems to be more popular. It has been mentiond 2 times 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.

Propel mentions (0)

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

Scale Nucleus mentions (2)

  • [Discussion] The most painful thing about machine learning
    At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
  • Unit Testing for Production ML Workflows?
    To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago

What are some alternatives?

When comparing Propel and Scale Nucleus, you can also consider the following products

Enovia - ENOVIA offers product lifecycle management (PLM) solutions fostering innovation and operational excellence across industries.

PerceptiLabs - A tool to build your machine learning model at warp speed.

PTC Windchill - Windchill offers breakthrough Product Lifecycle Management (PLM) capabilities, unleashing more data to more stakeholders throughout your organization through a single source of truth for product data and processes.

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

SAP PLM - SAP Product Lifecycle Management (SAP PLM) application provides you with a 360-degree-support for all product-related processes - from the first product idea, through manufacturing to product service.

ML Image Classifier - Quickly train custom machine learning models in your browser

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