Hasura
GraphQL Voyager
GraphQl Editor
Graphcool
graphql-yoga
Prisma
GraphQL Playground
Bulletproof your GraphQL API

Airtable
mlsql
SQL Chat
Fieldbook
sqlTranslate
Outerbase
TablePlus
Communicate with databases like a human

Which is more popular?
Based on our record, GraphQL Inspector seems to be more popular. It has been mentioned 6 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | graphql-inspector.com | friendlydata.io |
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What each product offers, as listed by its team.

Possible disadvantages
Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.

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

GraphQL CLI 4.1 has been updated to use the latest versions of GraphQL Code Generator and GraphQL Inspector, which are included as recommended, best practice workflows for developing production-ready GraphQL applications. - Source: dev.to / over 5 years ago
It's an entirely open-sourced and community driven tool to help you improve and maintain your GraphQL stack. It comes with a CLI, GitHub Application and GitHub Action. You can read more on our website. - Source: dev.to / over 5 years ago
First, we are aiming for a new schema registry package. We plan on using GraphQL Inspector to check for breaking changes on individual services and the schema gateway as a whole. And thanks to GraphQL Mesh, that process will work for... - Source: dev.to / over 5 years ago
Tracking FriendlyData since Mar 2021.
When comparing GraphQL Inspector and FriendlyData, you can also consider the following products.

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Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
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GraphQL Voyager â Represent Any GraphQL API as an Interactive Graph
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Infer SQL queries from plain-text questions and table headers.
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Editor for GraphQL that lets you draw GraphQL schemas using visual nodes
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Chat-based SQL Client and Editor for the next decade
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