Software Alternatives & Reviews

Scale Nucleus VS Algorithmia

Compare Scale Nucleus VS Algorithmia and see what are their differences

Scale Nucleus logo Scale Nucleus

The mission control for your ML data

Algorithmia logo 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.
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20
  • Algorithmia Landing page
    Landing page //
    2023-09-14

Scale Nucleus videos

Using Scale Nucleus & Rapid to Label New Datasets Efficiently

More videos:

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

Algorithmia videos

How To Color Black and White Photos Automatically: Algorithmia Review

More videos:

  • Tutorial - How to Colorize Black and White photos online - Algorithmia Review (TopTen AI)
  • Review - Algorithmia | Getting started: Pipelines and MLOps

Category Popularity

0-100% (relative to Scale Nucleus and Algorithmia)
Developer Tools
69 69%
31% 31
Data Science And Machine Learning
AI
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Algorithmia should be more popular than Scale Nucleus. It has been mentiond 5 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

Algorithmia mentions (5)

What are some alternatives?

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

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

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

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

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.

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

5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.