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GitLab VS AWS DeepLens

Compare GitLab VS AWS DeepLens and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

GitLab logo GitLab

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

AWS DeepLens logo AWS DeepLens

Deep learning enabled video camera for developers
  • GitLab Landing page
    Landing page //
    2023-10-17
  • AWS DeepLens Landing page
    Landing page //
    2023-03-20

GitLab

Website
about.gitlab.com
Pricing URL
Official GitLab Pricing
Release Date
2014 January
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Dmitriy Zaporozhets
Employees
1,000 - 1,999
Edit details

AWS DeepLens

Website
aws.amazon.com
Pricing URL
-
Release Date
-
Edit details

GitLab features and specs

  • Integrated DevOps Platform
    GitLab provides a single application for the entire DevOps lifecycle, which simplifies the workflow and reduces the need for multiple tools.
  • CI/CD Capabilities
    It offers powerful Continuous Integration and Continuous Deployment (CI/CD) features, enabling automated testing and deployment.
  • Self-Hosted and SaaS Options
    GitLab can be hosted on your own servers or used as a cloud-hosted service, providing flexibility depending on your needs.
  • Strong Security Features
    GitLab includes various security features such as code quality analysis, vulnerability management, and compliance management.
  • Robust Community and Support
    There is a large community and extensive documentation available, along with professional support options.

Possible disadvantages of GitLab

  • Complexity for New Users
    The extensive features and functionalities can be overwhelming for newcomers, requiring a steep learning curve.
  • Resource Intensive
    Self-hosting a GitLab instance requires substantial server resources, which can be costly.
  • Price
    While there is a free tier, the advanced features are part of the paid plans, which can be expensive for small teams or startups.
  • User Interface
    Some users find the interface less intuitive and harder to navigate compared to other platforms like GitHub.
  • Performance Issues
    Large repositories or high usage can sometimes lead to performance issues, especially on self-hosted instances.

AWS DeepLens features and specs

  • Ease of Use
    AWS DeepLens is designed to be user-friendly, especially for developers who may not have extensive expertise in machine learning. It provides sample projects and comes integrated with AWS services, making it easier to develop and deploy deep learning models.
  • Integration with AWS Ecosystem
    DeepLens is tightly integrated with the AWS ecosystem, allowing easy use of other AWS services such as AWS Lambda, Amazon S3, and Amazon SageMaker to enhance functionality, manage datasets, and deploy models.
  • Real-time Computer Vision
    AWS DeepLens is capable of processing data in real-time with on-device computing. This can be beneficial for applications that require immediate analysis without reliance on network connectivity.
  • Educational Tool
    DeepLens serves as a powerful educational tool that enables developers to understand and experiment with deep learning and computer vision concepts in a practical context.

Possible disadvantages of AWS DeepLens

  • Limited Hardware
    The hardware capacity of AWS DeepLens can be a limitation when compared to more powerful devices, which may restrict the complexity and scale of models that can be run on the edge device.
  • Cost
    While AWS DeepLens offers powerful features, it may be considered costly for some users, especially when compared to other edge devices which offer similar functionalities.
  • Steep Learning Curve for Complex Models
    Even though it is user-friendly for beginners, implementing complex deep learning models with AWS DeepLens may require significant expertise and a learning curve to optimize performance properly.
  • Dependence on AWS
    While integration with AWS services is an advantage, it also means that users become dependent on AWS for various functionalities, which may not be ideal for those wanting to avoid vendor lock-in.

Analysis of GitLab

Overall verdict

  • Yes, GitLab is generally considered a good platform, especially for teams looking for an integrated set of tools for software development and DevOps. Its features and flexibility make it a strong choice for many organizations.

Why this product is good

  • GitLab is a popular DevOps platform that provides a comprehensive suite of tools for software development, including version control, issue tracking, continuous integration/continuous deployment (CI/CD), and more. It is valued for its open-source model, strong security features, user-friendly interface, and a wide range of integrations. GitLab's all-in-one approach allows teams to manage their entire DevOps lifecycle from a single application, which can help improve collaboration and efficiency.

Recommended for

    GitLab is well-suited for developers, DevOps engineers, project managers, and teams that require robust CI/CD capabilities, strong security features, and an open-source platform that can be self-hosted or used as a cloud service. It is particularly beneficial for organizations looking for a comprehensive solution to streamline their development workflows.

GitLab videos

+ Add

Introduction to GitLab Workflow

More videos:

  • Review - GitLab Review App Working Session

AWS DeepLens videos

+ Add

AWS DeepLens Powered Cat Flap

More videos:

  • Review - Using AWS DeepLens to Detect Vehicle Type
  • Review - AWS re:Invent 2017 - Announcing AWS DeepLens

Category Popularity

0-100% (relative to GitLab and AWS DeepLens)

GitLab

AWS DeepLens

Code Collaboration
100 100%
Code Collaboration
0% 0
AI
0 0%
AI
100% 100
Git
100 100%
Git
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using GitLab and AWS DeepLens. 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 AWS DeepLens

GitLab Reviews

  1. Reinhard
    · Boss at CLOUD Meister ·
    perfect for Freelancers!
The Top 11 Static Application Security Testing (SAST) Tools
GitLab’s in-context testing solution simplifies the development process by automating both application and infrastructure management on a single platform.Why We Picked GitLab: We like GitLab’s automation of testing and compliance across development workflows. Its in-context testing minimizes license costs and reduces the learning curve.
Source: expertinsights.com
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.
Source: www.wearedevelopers.com
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...
Source: www.techrepublic.com

AWS DeepLens Reviews

We have no reviews of AWS DeepLens yet.
Be the first one to post

Social recommendations and mentions

Based on our record, GitLab seems to be a lot more popular than AWS DeepLens. While we know about 135 links to GitLab, we've tracked only 5 mentions of AWS DeepLens. 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 (135)

  • Cross-Compiling Haskell under NixOS with Docker
    I attended the AWS Summit 2025 in Singapore. I enjoyed the event. There were booths from various companies which I found interesting, such as GitLab and ClickHouse. More importantly, I got to meet very interesting people. - Source: dev.to / 11 days ago
  • GitLab: templates for Merge Requests
    GitLab is a well-established tool that hardly needs any introduction. This article is more like some notes to my future self. - Source: dev.to / 13 days ago
  • India Open Source Development: Harnessing Collaborative Innovation for Global Impact
    Indian developers have embraced platforms like GitHub and GitLab, which serve as global meeting points for coding projects. Developer communities such as FOSSAsia and Open Source India regularly organize hackathons, webinars, and code sprints that bring together enthusiasts to tackle both local and global problems. - Source: dev.to / about 1 month ago
  • Open Source Funding: Strategies, Case Studies, and Best Practices
    In this article, we explore funding methods that empower projects such as Red Hat, GitLab, and Blender. Our discussion focuses on overlaying robust financial models with community-led efforts while incorporating advanced technologies like blockchain and smart contracts for secure, transparent fund distribution. With clear definitions, tables, bullet lists, and real-world examples, we aim to provide a holistic view... - Source: dev.to / 2 months ago
  • The Hidden Challenges of Building with AWS
    💡** My Take:** If you’re not ready to spend hours debugging AWS configurations, you might want to consider other cloud options, such as DigitalOcean or Gitlab for CI/CD. - Source: dev.to / 3 months ago
View more

AWS DeepLens mentions (5)

  • Beginning the Journey into ML, AI and GenAI on AWS
    AWS provides various services for Machine Learning and Artificial Intelligence, including Amazon SageMaker, AWS DeepLens, AWS DeepComposer, Amazon Forecast and more. Familiarize yourself with the services available to determine which ones suit your specific needs. - Source: dev.to / over 1 year ago
  • Smart Vision? I actually want to try this out.
    Take a look at AWS deeplens. You might be able to make something work out of it. https://aws.amazon.com/deeplens/. Source: over 2 years ago
  • Getting Started Machine Learning with AWS
    AWS DeepLens - Deep learning enabled video camera for developers - AWS (amazon.com). - Source: dev.to / about 3 years ago
  • Im trying to self teach myself as a hobby but getting overwhelmed with where to start.
    So Amazon has this thing called Deep Lens. Https://aws.amazon.com/deeplens/ Basically, it's a really dinky computer with all the things needed to do Machine Learning with image recognition. It comes with several projects that all are about how to program it, and how to run machine learning enabled image recognition projects (including 'Hotdog-Not A Hotdog'!). It's an expense, but it would enable what you're... Source: over 3 years ago
  • AWS Machine Learning Tools in 2021
    AWS DeepLens is a hardware offering from AWS. It comes with a fully programmable camera you can use to train Machine Learning models for your specific task. Tutorials and guides also accompany this to get started right away. - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing GitLab and AWS DeepLens, 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.

Lobe - Visual tool for building custom deep learning models

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

Deep learning chat - Chatting with a deep learning chatbot

Gitea - A painless self-hosted Git service

Deep Learning Gallery - A curated list of awesome deep learning projects

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