
OpenSea
Rarible
SuperRare
SHOWTIME
Rarible Protocol
CryptoKitties
NiftyKit
The marketplace for Nifties - digital items you can own

FriendlyData
Infer SQL queries from plain-text questions and table headers.

Which is more popular?
Based on our record, Nifty Gateway should be more popular than mlsql. It has been mentioned 15 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | niftygateway.com | github.com |
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What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Nifty Gateway is recommended for art collectors, NFT enthusiasts both new and experienced, and individuals interested in acquiring pieces from renowned artists without the need to manage a personal cryptocurrency wallet. It is also well-suited for users who prefer transactions in fiat currency.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Top 5 UNDERVALUED NFTs on Nifty Gateway (Review)
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Nifty Gateway and mlsql. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Nifty Gateway — a fine art and rare NFT marketplace displaying works by Beeple and Grimes. Source: over 4 years ago
Some popular NFT Marketplaces that support Ethereum include, OpenSea, Rarible, Nifty Gateway, SuperRare, and many others. Ethereum Wallets, MetaMask, and Ledger are examples of wallets you can use to transact on the Ethereum blockchain. - Source: dev.to / over 4 years ago
I’m looking in to NFT digital art and a digital frame. Check out a Canvia frame and Nifty Gateway for NFT Art deals. Source: over 4 years ago
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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