Software Alternatives & Reviews
Register | Login

NannyML VS Scale Nucleus

Compare NannyML VS Scale Nucleus and see what are their differences

Project Burndown
Burndown is project management, automated. Our smart scheduling technology constantly manages your team's schedule - based on your priorities, progress, and capacity - so you don’t have to. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NannyML logo NannyML

NannyML estimates real-world model performance (without access to targets) and alerts you when and why it changed.

Scale Nucleus logo Scale Nucleus

The mission control for your ML data
  • NannyML Landing page
    Landing page //
    2023-08-24
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20

NannyML videos

+ Add

Shedding Light On Silent Model Failures With NannyML

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 NannyML and Scale Nucleus)

NannyML

Scale Nucleus

AI
43 43%
AI
57% 57
Developer Tools
38 38%
Developer Tools
62% 62
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Productivity
0 0%
Productivity
100% 100

User comments

Share your experience with using NannyML and Scale Nucleus. For example, how are they different and which one is better?
Log in or Post with

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.

NannyML mentions (0)

We have not tracked any mentions of NannyML yet. Tracking of NannyML recommendations started around May 2022.

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 NannyML and Scale Nucleus, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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

Spell - Deep Learning and AI accessible to everyone

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

Prodigy - Radically efficient machine teaching

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

Loading...