Software Alternatives & Reviews

Plastic SCM VS neptune.ai

Compare Plastic SCM VS neptune.ai and see what are their differences

Plastic SCM logo Plastic SCM

Plastic SCM is a cross-platform commercial distributed version control tool.

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.
  • Plastic SCM Landing page
    Landing page //
    2023-05-05
  • 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.

Plastic SCM videos

Plastic SCM - The version control for Unity

More videos:

  • Review - What is Plastic SCM - a short intro to the key concepts
  • Review - Get started with Plastic SCM – from zero to merge hero

neptune.ai videos

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

Category Popularity

0-100% (relative to Plastic SCM and neptune.ai)
Code Collaboration
100 100%
0% 0
Data Science And Machine Learning
Git
100 100%
0% 0
Data Science Notebooks
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 Plastic SCM and neptune.ai

Plastic SCM Reviews

We have no reviews of Plastic SCM yet.
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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 Plastic SCM. While we know about 22 links to neptune.ai, we've tracked only 2 mentions of Plastic SCM. 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.

Plastic SCM mentions (2)

  • Plastic SCM stuck on Step 1
    I decided to set up Plastic but I can't even get past step 1. I press login or Sign Up but it just opens a window saying "You correctly signed up to plasticscm.com!" I already have an organization set up as well as Dev Ops. I am not sure what to do now. Thanks in advance. Source: 12 months ago
  • Best way to manage version control?
    I use http://plasticscm.com hosted in their cloud. A few bucks a month for a pretty good VCS capable of handling large files. Source: almost 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 / 9 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 Plastic SCM and neptune.ai, you can also consider the following products

Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.

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

Mercurial SCM - Mercurial is a free, distributed source control management tool.

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.

Atlassian Bitbucket Server - Atlassian Bitbucket Server is a scalable collaborative Git solution.

Weights & Biases - Developer tools for deep learning research