Software Alternatives, Accelerators & Startups

neptune.ai VS A.I. Experiments by Google

Compare neptune.ai VS A.I. Experiments by Google and see what are their differences

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.

A.I. Experiments by Google logo A.I. Experiments by Google

Explore machine learning by playing w/ pics, music, and more
  • 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.

  • A.I. Experiments by Google Landing page
    Landing page //
    2023-09-22

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

A.I. Experiments by Google

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

neptune.ai videos

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

A.I. Experiments by Google videos

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Category Popularity

0-100% (relative to neptune.ai and A.I. Experiments by Google)
Data Science And Machine Learning
AI
0 0%
100% 100
Data Science Notebooks
100 100%
0% 0
Developer Tools
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 neptune.ai and A.I. Experiments by Google

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

A.I. Experiments by Google Reviews

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Social recommendations and mentions

Based on our record, neptune.ai should be more popular than A.I. Experiments by Google. 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.

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 / 10 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 / 4 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 / 8 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
View more

A.I. Experiments by Google mentions (5)

  • I asked an A.I. language model to write a conversation between two stoners after smoking DMT
    Try this: https://experiments.withgoogle.com/collection/ai. Source: over 1 year ago
  • Google Says AI Generated Content Is Against Guidelines
    But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 2 years ago
  • [D] Do you know any tools (libraries/frameworks) that are intuitive enough for teenagers for a practical introduction to AI?
    Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 2 years ago
  • "RTX ON" ruined public perception of the biggest gaming advancement in a decade
    It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 2 years ago
  • [D] Researching with no affiliations to any Universities/Academic organizations?
    To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: about 3 years ago

What are some alternatives?

When comparing neptune.ai and A.I. Experiments by Google, you can also consider the following products

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.

Talk to Books by Google - Browse passages from books using experimental AI

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

Facebook.ai - Everything you need to take AI from research to production

Weights & Biases - Developer tools for deep learning research

Lobe - Visual tool for building custom deep learning models