
Shiny
Streamlit
Dash by Plotly
Panel
Streamoku
Mercury allows you to add interactive widgets in Python notebooks, so you can share notebooks as web applications.

Compute various size metrics for a Git repository, flagging those that might cause problems - github/git-sizer

Which is more popular?
Based on our record, git-sizer seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | runmercury.com | github.com |
| Pricing | — | |
| Listed in |
What each product offers, as listed by its team.


No features have been listed yet.
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Mercury framework and git-sizer. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Mercury framework since Mar 2025.
Also there’s a cool project from GitHub you can use to help understand the size of git’s objects in your git repo https://github.com/github/git-sizer. This might help you determine what the best cloning strategy could be. Source: almost 5 years ago
When comparing Mercury framework and git-sizer, you can also consider the following products.

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High-level app and dashboarding solution for Python
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Deploy Streamlit apps effortlessly with Streamoku. Enjoy one-click deployment, global scalability, flexible privacy options, and focus on data science while we handle the infrastructure. Simplify your workflow today!
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