Software Alternatives & Reviews

AWS Cost Explorer VS neptune.ai

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

AWS Cost Explorer logo AWS Cost Explorer

Cloud Cost Management

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 Cost Explorer Landing page
    Landing page //
    2022-01-31
  • 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.

AWS Cost Explorer videos

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neptune.ai videos

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

Category Popularity

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Monitoring Tools
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Data Science And Machine Learning
Log Management
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Data Science Notebooks
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Reviews

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

AWS Cost Explorer Reviews

35+ Of The Best CI/CD Tools: Organized By Category
AWS cost explorer gives you easy-to-understand visual tools to help you analyze and manage your AWS costs. You can sort and group your figures according to usage type and tags. Results can be viewed daily or grouped by month.

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

neptune.ai might be a bit more popular than AWS Cost Explorer. We know about 22 links to it since March 2021 and only 21 links to AWS Cost Explorer. 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 Cost Explorer mentions (21)

  • Optimizing Costs in the Cloud: Embracing a FinOps Mindset
    When managing your cloud finances, following a budget plan is crucial to ensure you spend your money wisely. Utilize tools such as AWS Cost Explorer or third-party services such as Anodot to gain insights into your spending patterns, focusing on the costs associated with each team or service. - Source: dev.to / about 1 month ago
  • A beginner's guide to AWS Best Practices
    Get comfortable with using Cost Explorer - when costs spike it's important to understand how to drill down into costs. - Source: dev.to / 5 months ago
  • IPV6 Migration Guide for Developers using AWS EC2 -- A Primer
    Once the EC2 migration is complete, review IPV4 address usage using VPC IP Address Manager And AWS Billing Cost Explorer (group By API to see EC2 networking costs). - Source: dev.to / 5 months ago
  • API Update: Enterprise Level Tier for Large Scale Applications
    AWS quite literally has a Cost Explorer service , several articles on how to reduce costs, and support tiers that literally include working with Amazon on usage guidance. Source: 11 months ago
  • AWS Cost Optimization Tools
    AWS Cost Explorer: This tool allows you to visualize, understand, and manage your AWS costs and usage. Source: over 1 year ago
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neptune.ai mentions (22)

  • 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 / 3 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 / 7 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: 8 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 / 8 months ago
  • [D] Is there any all in one deep learning platform or software
    Tbh I have done a pretty good search on this topic, I couldn't find any. I thought maybe community could help me find one, if people like you (who works at neptune.ai) have the same opinion then it is what it is :). Anyway thank you for the suggestions that you gave, probably gonna use that. Source: 10 months ago
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What are some alternatives?

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

Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.

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

AWS Budgets - Cloud Cost Management

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.

Azure Cost Management - Monitor, allocate, and optimize cloud costs with transparency, accuracy, and efficiency using Azure Cost Management.

Weights & Biases - Developer tools for deep learning research