Software Alternatives, Accelerators & Startups

Scale Nucleus VS GitLab

Compare Scale Nucleus VS GitLab and see what are their differences

Scale Nucleus logo Scale Nucleus

The mission control for your ML data

GitLab logo GitLab

Create, review and deploy code together with GitLab open source git repo management software | GitLab
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20
  • GitLab Landing page
    Landing page //
    2023-10-17

Scale Nucleus

Pricing URL
-
Release Date
-

GitLab

Release Date
2014 January
Startup details
Country
United States
State
California
Founder(s)
Dmitriy Zaporozhets
Employees
1,000 - 1,999

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

GitLab videos

Introduction to GitLab Workflow

More videos:

  • Review - GitLab Review App Working Session

Category Popularity

0-100% (relative to Scale Nucleus and GitLab)
Developer Tools
100 100%
0% 0
Code Collaboration
0 0%
100% 100
AI
100 100%
0% 0
Git
0 0%
100% 100

User comments

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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 GitLab

Scale Nucleus Reviews

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GitLab Reviews

  1. perfect for Freelancers!

The Top 10 GitHub Alternatives
GitLab is a web-based DevSecOps (take that, Call of Duty) platform that allows software development teams to plan, build, and ship secure code all in one application. GitLab offers a range of features and tools to support the entire software development lifecycle, from project planning and source code management to continuous integration, delivery, and deployment.
The Best Alternatives to Jenkins for Developers
CI/CD GitLab, as a complete DevOps platform, provides an integrated CI/CD solution along with its other features. If your team is already using GitLab for controlling versions and managing projects, the addition of GitLab CI/CD can be very smooth. The offering in CI/CD by GitLab is quite customizable and it backs up many programming languages as well as application test...
Source: morninglif.com
Top 7 GitHub Alternatives You Should Know (2024)
Most of the listed alternatives offer free tier plans for individuals or small teams. Tools like GitLab and Bitbucket allow users to host unlimited repositories without cost.
Source: snappify.com
Best GitHub Alternatives for Developers in 2023
While GitLab features an extensive set of capabilities, this can also serve as a weakness since beginners may find the developer tool overwhelming to begin with. The user interface compounds this issue by being outdated and unintuitive. GitLab could benefit from more third-party integrations, and its performance tends to struggle when dealing with large repositories or CI/CD...
Let's Make Sure Github Doesn't Become the only Option
The Pull Request workflow is so dominant now that it’s considered the default path for code to permanently enter into a repository. You can see a similar features in GitHub’s smaller competition Codeberg, GitLab, BitBucket, and Gitea. These competitors don’t offer other, major code collaboration tools, and their Pull Request-like features aren’t just there to help users come...

Social recommendations and mentions

Based on our record, GitLab seems to be a lot more popular than Scale Nucleus. While we know about 114 links to GitLab, we've tracked only 2 mentions of Scale Nucleus. 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

GitLab mentions (114)

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What are some alternatives?

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

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

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

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

BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.

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

Gitea - A painless self-hosted Git service