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Scale Nucleus VS Spell

Compare Scale Nucleus VS Spell and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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Scale Nucleus logo Scale Nucleus

The mission control for your ML data

Spell logo Spell

Deep Learning and AI accessible to everyone
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20
  • Spell Landing page
    Landing page //
    2022-09-23

Scale Nucleus

Categories
  • Developer Tools
  • AI
  • APIs
  • Tech
Website nucleus.scale.com
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Spell

Categories
  • Data Science And Machine Learning
  • AI
  • Data Science Notebooks
  • Machine Learning Tools
Website spell.run
Edit details

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

Spell videos

+ Add

Love Spells 24 Reviews 💙 My experience with their spells (excited to share)

More videos:

  • Review - SPELL Opulent Decay Album Review | Overkill Reviews
  • Review - LETS REVIEW Spells That Work

Category Popularity

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

Scale Nucleus

Spell

Developer Tools
48 48%
Developer Tools
52% 52
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
AI
34 34%
AI
66% 66
APIs
100 100%
APIs
0% 0

User comments

Share your experience with using Scale Nucleus and Spell. 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.

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

Spell mentions (0)

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

What are some alternatives?

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

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

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

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

Neuton.AI - No-code artificial intelligence for all

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