Software Alternatives & Reviews

Morgan Stanley VS neptune.ai

Compare Morgan Stanley VS neptune.ai and see what are their differences

Morgan Stanley logo Morgan Stanley

This application is for Morgan Stanley institutional clients with a valid Client Link account.

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.
  • Morgan Stanley Landing page
    Landing page //
    2023-07-08
  • 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.

Morgan Stanley

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Morgan Stanley videos

Morgan Stanley Investing Tutorial - Review + Access

More videos:

  • Review - Morgan Stanley Platinum Card UNBOXING + Review
  • Review - Morgan Stanley CashPlus - Better Than The Charles Schwab High Yield Investor Debit Card?

neptune.ai videos

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

Category Popularity

0-100% (relative to Morgan Stanley and neptune.ai)
Finance
100 100%
0% 0
Data Science And Machine Learning
Personal Finance
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100

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Reviews

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

Morgan Stanley 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 seems to be a lot more popular than Morgan Stanley. While we know about 22 links to neptune.ai, we've tracked only 1 mention of Morgan Stanley. 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.

Morgan Stanley mentions (1)

  • Rivian raises IPO price range and could now be worth up to $65 billion
    Make sure you look for something from ms.com & *not* morganstanley.com: the initial email is from the former, despite what Rivian's email said to expect (*followup* emails from MS were from the latter domain, so I'm guessing just a little mis-communication between the two companies about the details). Source: over 2 years ago

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 Morgan Stanley and neptune.ai, you can also consider the following products

Schwab - Brokerage firm.

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

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Weights & Biases - Developer tools for deep learning research