Project

Reverse Dependencies for graphql-batch

The projects listed here declare graphql-batch as a runtime or development dependency

0.18
A long-lived project that still receives updates
Extract as much much detail as you want from GraphQL queries, served up from your Ruby app and the `graphql` gem. Compatible with the `graphql-batch` gem, to extract batch-loaded fields resolution timings.
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0.11
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
Preload ActiveRecord associations with graphql-batch
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0.06
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
Build Relay-compatible GraphQL schemas based on ActiveRecord models
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0.04
Low commit activity in last 3 years
There's a lot of open issues
No release in over a year
Header, Encryption, RBAC, Serialization, Pagination and other common behavior for Insights microservices built with Rails
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0.03
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
Header, Encryption, RBAC, Serialization, Pagination and other common behavior for microservices
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0.02
No commit activity in last 3 years
No release in over 3 years
There's a lot of open issues
GraphQL::RemoteLoader allows performantly fetching data from remote GraphQL APIs in the resolvers of a graphql-ruby API.
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0.0
No release in over a year
GraphQL support for Graphiti
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 Popularity
0.0
No release in over a year
GraphQL support for Graphiti
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 Popularity
0.0
No release in over 3 years
Association Preloading and Query Batching for GraphQL
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 Popularity
0.0
No release in over 3 years
GraphQL Resolver for ActiveRecord Associations
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 Popularity
0.0
No release in over a year
FancyLoader (built on top of the graphql-batch gem) efficiently batches queries using postgres window functions to allow advanced features such as orders, limits, pagination, and authorization scoping. Built on top of Arel, FancyLoader is highly extensible and capable of handling complex sorts (including sorting based on a join) with minimal effort and high performance.
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