
Giskard.ai
Braintrust
Deepchecks Testing Package
LangSmith
Syntitan
Spec27.ai
Demetra.it.com
Deepchecks is a QA platform that inspects the production data and models.

Refined GitHub
GitHub for Mobile
GitHub for Atom
Board for Github
GitStreak
Commit Print
Commit Club
Now add co-authors to your commits

Which is more popular?
Based on our record, Deepchecks should be more popular than Commit Together by Github. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | deepchecks.com | github.blog |
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What each product offers, as listed by its team.


No features have been listed yet.
Possible disadvantages
Walkthroughs and reviews on video.
Deepchecks Review
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Deepchecks and Commit Together by Github. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Deepchecks is an ML monitoring tool for continuously testing and validating machine learning models and data from an AI project's experimentation to the deployment stage. It provides a wide range of built-in checks to validate model... - Source: dev.to / over 2 years ago
In the past, writing a tonne of additional code was required for our model's evaluation. However, the Deepchecks platform offers us the current solutions that the world needs today. - Source: dev.to / almost 3 years ago
There is "Co-authored-by" which is supported on GitHub [1] and seems appropriate if the maintainer is basing the solution on someone's code. [1] https://github.blog/2018-01-29-commit-together-with-co-authors/. - Source: Hacker News / over 4 years ago
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The world’s development platform, in your pocket
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Open Source Tool for Testing & Validating Your Model & Data
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Git and GitHub integration right inside Atom
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