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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.

Intro
about.me
You Should Meet
Tidl.es
Carrd
6 Minute intro to AI
Stride Ecosystem
Your personal founders page with purpose, show what you do

Which is more popular?
Based on our record, neptune.ai seems to be more popular. It has been mentioned 24 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | neptune.ai | founderat.com |
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| Company | Startup from Poland · 10 - 19 employees · 2018 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


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...
No description of Founder@ yet.
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
Walkthroughs and reviews on video.
Machine Learning Experiment Management with Neptune.ai - How to start
Weekly Walks with Casey Renner: Luke Jacobs CEO and Founder@ Encamp
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using neptune.ai and Founder@. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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
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Recommendations tracked on public social media and blogs since March 2021.


Some tools for model validation include Neptune AI, Kolena, and Censius. - Source: dev.to / over 1 year ago
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... - Source: dev.to / over 2 years ago
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
Tracking Founder@ since Mar 2021.
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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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About.me lets you quickly build simple and visually elegant splash pages that points visitors to your content from around the web. Get started today.
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