Software Alternatives, Accelerators & Startups

AWS DeepLens VS neptune.ai

Compare AWS DeepLens VS neptune.ai and see what are their differences

AWS DeepLens logo AWS DeepLens

Deep learning enabled video camera for developers

neptune.ai logo 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.
  • AWS DeepLens Landing page
    Landing page //
    2023-03-20
  • neptune.ai Landing page
    Landing page //
    2023-08-24

Track and version your notebooks Log all your notebooks directly from Jupyter or Jupyter Lab. All you need is to install a Jupyter extension.

Manage your experimentation process Neptune tracks your work with virtually no interference to the way you like to do it. Decide what is relevant to your project and start tracking: - Metrics - Hyperparameters - Data versions - Model files - Images - Source code

Integrate with your workflow easily Neptune is a lightweight extension to your current workflow. Works with all common technologies in data science domain and integrates with other tools. It will take you 5 minutes to get started.

neptune.ai

Website
neptune.ai
$ Details
freemium
Platforms
Python
Release Date
2018 April
Startup details
Country
Poland
State
Mazowieckie
City
Warsaw
Founder(s)
Piotr Niedzwiedz
Employees
10 - 19

AWS DeepLens videos

AWS DeepLens Powered Cat Flap

More videos:

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

neptune.ai videos

Machine Learning Experiment Management with Neptune.ai - How to start

Category Popularity

0-100% (relative to AWS DeepLens and neptune.ai)
AI
100 100%
0% 0
Data Science And Machine Learning
Data Science Notebooks
0 0%
100% 100
Productivity
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS DeepLens and neptune.ai

AWS DeepLens Reviews

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neptune.ai Reviews

  1. Easy to use, not overdone, good for model management and collab

    Only negative is I didn't see it integrated with Azure, does with Google, AWS and one more. Looks real nice, and pretty powerful and plenty useful features for a data science group

Social recommendations and mentions

Based on our record, neptune.ai should be more popular than AWS DeepLens. It has been mentiond 23 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.

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 / 5 months 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 1 year ago
  • Getting Started Machine Learning with AWS
    AWS DeepLens - Deep learning enabled video camera for developers - AWS (amazon.com). - Source: dev.to / over 2 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 2 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 / over 3 years ago

neptune.ai mentions (23)

  • A step-by-step guide to building an MLOps pipeline
    Experiment tracking tools like MLflow, Weights and Biases, and Neptune.ai provide a pipeline that automatically tracks meta-data and artifacts generated from each experiment you run. Although they have varying features and functionalities, experiment tracking tools provide a systematic structure that handles the iterative model development approach. - Source: dev.to / 26 days ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Neptune.ai - Log, store, display, organize, compare, and query all your MLOps metadata. Free for individuals: 1 member, 100 GB of metadata storage, 200h of monitoring/month. - Source: dev.to / 5 months ago
  • Show HN: A gallery of dev tool marketing examples
    Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/. Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / 9 months ago
  • How to structure/manage a machine learning experiment? (medical imaging)
    There are a lot of tools out there for experiment tracking (eg neptune.ai), but I'm really not sure whether that sort of thing is over the top for what I need to do. Source: 10 months ago
  • How to grow a developer blog to 3M annual visitors? with Jakub Czakon (Neptune.ai)
    Welcome to another episode of The Developer-led Podcast, where we dive into the strategies modern companies use to build and grow their developer tools. In this exciting episode, we're joined by Jakub Czakon, the CMO at Neptune.ai, a startup that assists developers in efficiently managing their machine-learning model data. Jakub is renowned not only for his role at Neptune.ai but also for his developer marketing... - Source: dev.to / 10 months ago
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What are some alternatives?

When comparing AWS DeepLens and neptune.ai, you can also consider the following products

Lobe - Visual tool for building custom deep learning models

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.

Kur - Deep Learning made easy

Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

Deep learning chat - Chatting with a deep learning chatbot

Weights & Biases - Developer tools for deep learning research