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Scale Nucleus VS CodePilot.ai

Compare Scale Nucleus VS CodePilot.ai and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

Scale Nucleus logo Scale Nucleus

The mission control for your ML data

CodePilot.ai logo CodePilot.ai

Code search that keeps you coding
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20
  • CodePilot.ai Landing page
    Landing page //
    2019-01-21

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

CodePilot.ai videos

+ Add

Codepilot.ai - A Tool to Search Multiple Codebases

Category Popularity

0-100% (relative to Scale Nucleus and CodePilot.ai)

Scale Nucleus

CodePilot.ai

Developer Tools
62 62%
Developer Tools
38% 38
AI
62 62%
AI
38% 38
Tech
100 100%
Tech
0% 0
Productivity
0 0%
Productivity
100% 100

User comments

Share your experience with using Scale Nucleus and CodePilot.ai. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scale Nucleus and CodePilot.ai

Scale Nucleus Reviews

We have no reviews of Scale Nucleus yet.
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CodePilot.ai Reviews

I tested all intelligent IDEs (2019 edition)
CodePilot.ai is more of an advanced search code engine. As they say, search is not a solved problem for software developers. It can search in your local environment or on StackOverflow or GitHub.
Source: livablesoftware.com

Social recommendations and mentions

Based on our record, Scale Nucleus should be more popular than CodePilot.ai. 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

CodePilot.ai mentions (1)

  • Is ChatGPT incompetent or do I suck at prompt engineering?
    He's doing his best, okay? /s perhaps you have better luck with CodePilot. Source: about 1 year ago

What are some alternatives?

When comparing Scale Nucleus and CodePilot.ai, you can also consider the following products

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

Stack Roboflow - Coding questions pondered by an AI.

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

Stack Overflow Trends - Current programming and technology trends by Stack Overflow

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

bloop - Code-search engine for developers

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