Software Alternatives & Reviews

GitLab VS Iterative.ai

Compare GitLab VS Iterative.ai and see what are their differences

GitLab logo GitLab

Create, review and deploy code together with GitLab open source git repo management software | GitLab

Iterative.ai logo Iterative.ai

Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
  • GitLab Landing page
    Landing page //
    2023-10-17
  • Iterative.ai Landing page
    Landing page //
    2023-08-18

GitLab videos

Introduction to GitLab Workflow

More videos:

  • Review - GitLab Review App Working Session

Iterative.ai videos

Reimagining DevOps for ML by Elle O'Brien, Iterative.ai

Category Popularity

0-100% (relative to GitLab and Iterative.ai)
Code Collaboration
100 100%
0% 0
Data Science And Machine Learning
Git
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100

User comments

Share your experience with using GitLab and Iterative.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 GitLab and Iterative.ai

GitLab Reviews

  1. perfect for Freelancers!

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...
Ten Best SonarQube alternatives in 2021
GitLab is an efficient and tremendous device for maintaining our code in different branches and preserving the master branch quickly. Additionally, it has robust CI/CD pipelines. It guarantees the safety of your code. With Gitlab, you can make your repo private in case of any difficulty. It helps inside the automated Integration and deployment of your code.
Source: duecode.io
10 Jenkins Alternatives in 2021 for Developers
You might be interested in using GitLab’s CI/CD utility instead of Jenkins because it is designed to be open-source and provides additional features. You could take advantage of automation by using the GitLab CI/CD technology that is currently available to integrate DevOps into your workflow.
The Best Alternatives to Jenkins for Developers
GitLab CI/CD tool is a part of GitLab and a powerful alternative to Jenkins. It is an open-source web interface that can be used to apply all the continuous methods like integration, delivery, and deployment to your project without any third-party application. It provides a user-friendly interface along with distributed version control services.
Gitea - Alternative to GitLab and GitHub
There are still plenty of things you might want centralized on a server somewhere, but it seems like a lot of the value add of GitHub, GitLab, and now Gitea is in making git repos easier to manage and interact with.

Iterative.ai Reviews

  1. Rare

    The people at iterative.ai are special.

    Its hard to describe quickly, but if you're a potential client or employee--you could easily go your entire career unaware that groups like this exist.

    Their tools (like DVC) are exceptional, but I write this review because one need only interact with the people there to understand why they're execptional.

    The culture there is one that can only exist when the founding talent is top-tier. The experience you'll have, though, is so much more than that.

    Recommend whole-heatedly.

    👍 Pros:    Constantly improving|Quality|Community

Social recommendations and mentions

Based on our record, GitLab seems to be a lot more popular than Iterative.ai. While we know about 112 links to GitLab, we've tracked only 6 mentions of Iterative.ai. 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.

GitLab mentions (112)

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Iterative.ai mentions (6)

  • Work with Google Drive files locally
    PyDrive2 is am open-source python package maintained by the awesome people at Iterative. And it is very easy to install:. - Source: dev.to / about 1 year ago
  • Any MLOps platform you use?
    These three are made by Iterative.ai, and seem like very clean implementations of MLOps tooling - especially if you aren't dealing with massive data. https://iterative.ai/. Source: about 1 year ago
  • How does your data science team collaborate?
    For what it's worth. (Full disclosure: I'm the community manager at Iterative (DVC,et.al.) Just wanted to make you aware of our online course (free) that we created specifically for Data Scientists (https://learn.iterative.ai). We know that bridging the gap between prototype to production/ jupyter notebook to reproducible/software engineering compatible, is a challenge. That's why we created the course. To also... Source: almost 2 years ago
  • Advice about Infra and IaC
    What do you think of iterative.ai tools like dvc or cml? I have no direct experience, but I am looking at setting up something similar to what you need for a personal project. Source: almost 2 years ago
  • TPI - Terraform provider for ML/AI & self-recovering spot-instances
    Hey all, we (at iterative.ai) are launching TPI - Terraform Provider Iterative https://github.com/iterative/terraform-provider-iterative. Source: about 2 years ago
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What are some alternatives?

When comparing GitLab and Iterative.ai, you can also consider the following products

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.

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.

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

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.

Gitea - A painless self-hosted Git service

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.