Software Alternatives, Accelerators & Startups

neptune.ai VS CodeKeep

Compare neptune.ai VS CodeKeep and see what are their differences

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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.

CodeKeep logo CodeKeep

Codekeep lets you store and share bits of code and text with other users. Snippets can be organized into folders/labels for instant reuse.
  • 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.

  • CodeKeep Landing page
    Landing page //
    2020-09-19

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

CodeKeep

Pricing URL
-
$ Details
freemium $4 / Monthly
Platforms
Browser
Release Date
-

neptune.ai features and specs

  • Experiment Tracking
    Neptune.ai provides comprehensive tools for tracking machine learning experiments, which helps in organizing and managing multiple experiments efficiently.
  • Collaboration Features
    The platform offers collaboration features that allow multiple team members to contribute and monitor the progress of ongoing projects.
  • Integration Capability
    Neptune.ai integrates well with popular machine learning libraries and tools, enabling seamless workflow integration into existing processes.
  • Interactive Dashboard
    It provides a user-friendly interface and interactive dashboard for visualizing and analyzing experiment results, which aids in better decision-making.
  • Model Registry
    Neptune.ai includes a model registry feature that facilitates the management and deployment of machine learning models.

Possible disadvantages of neptune.ai

  • Pricing
    Some users might find the pricing model expensive, especially for small teams or individual users, although they offer a free tier with limited features.
  • Learning Curve
    New users might experience a learning curve when getting started with Neptune.ai due to the rich set of features and capabilities.
  • Limited Offline Access
    The platform primarily functions online, which limits its usability in environments with restricted internet access.
  • Integration Complexity
    While the platform offers numerous integrations, setting them up might be complex and time-consuming for users unfamiliar with such processes.
  • Technical Support
    Some users have reported that the response time for technical support could be improved, especially for immediate assistance needs.

CodeKeep features and specs

  • Collaboration Tools
  • Code Editor
  • Code snippets

neptune.ai videos

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

CodeKeep videos

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Category Popularity

0-100% (relative to neptune.ai and CodeKeep)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Notebooks
100 100%
0% 0
Productivity
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 CodeKeep

neptune.ai Reviews

  1. anonymous for now
    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

CodeKeep Reviews

We have no reviews of CodeKeep yet.
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Social recommendations and mentions

Based on our record, neptune.ai should be more popular than CodeKeep. It has been mentiond 24 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 (24)

  • Understanding the MLOps Lifecycle
    Some tools for model validation include Neptune AI, Kolena, and Censius. - Source: dev.to / over 1 year ago
  • 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 / about 2 years 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 / over 2 years 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 โ€œcopy-pasteโ€ their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / almost 3 years 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: almost 3 years ago
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CodeKeep mentions (6)

  • Bending Spoons laid off almost everybody at Vimeo yesterday
    I have made https://codekeep.io for storing snippets, have similar features to evernote. All users will get free pro membership now. If you are thinking about moving , please consider codekeep too. - Source: Hacker News / 7 months ago
  • Show HN: VS Code extension to share code snippets instantly
    I had a similar idea and created https://codekeep.io , it also has an option to generate screenshots of code https://codekeep.io/screenshot. - Source: Hacker News / about 1 year ago
  • Ask HN: Who wants to be hired? (September 2024)
    Hi there, I'm Jithin, a full-stack developer with ~9 years of experience looking for exciting new opportunities (remote or relocation friendly). I'm passionate about building robust, scalable cloud-native solutions with a focus on Golang microservices, GraphQL APIs, Next.js frontend. My experience extends to a diverse range of technologies which can be viewed on https://jithin.im I am also the founder of... - Source: Hacker News / almost 2 years ago
  • ๐Ÿš€ ๐Ÿ“ธ Creating Accessible and Stunning code screenshots
    Create an account on https://codekeep.io. - Source: dev.to / over 5 years ago
  • Show HN: I'm working on an open-source self-hostable GitHub Gist
    I have also created a similar product, its called codekeep http://codekeep.io , - google keep for codesnippets that allows users to tag and organize snippets. - Source: Hacker News / over 4 years ago
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What are some alternatives?

When comparing neptune.ai and CodeKeep, 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.

thiscodeWorks - Save and share code that works

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

CodeMyUI - Handpicked code snippets you can use in your web projects

Spell - Deep Learning and AI accessible to everyone

Creative Tim Bits - Code snippets for easier coding