Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues. Learn more →
Fquery Alternatives
Similar projects and alternatives to fquery
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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PostgreSQL
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
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react-query
Discontinued 🤖 Powerful asynchronous state management, server-state utilities and data fetching for TS/JS, React, Solid, Svelte and Vue. [Moved to: https://github.com/TanStack/query]
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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prosto
Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
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django-extensions
This is a repository for collecting global custom management extensions for the Django Framework.
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DjangoChannelsGraphqlWs
Django Channels based WebSocket GraphQL server with Graphene-like subscriptions
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
fquery discussion
fquery reviews and mentions
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Solving the double (quintuple) declaration Problem in GraphQL Applications
Similar benefits without codegen (based on decorator magic) for a python based stack:
https://github.com/adsharma/fquery
* Use dataclasses for both database schema and the user facing operations
- Cut Out the Middle Tier: Generating JSON Directly from Postgres
- Against SQL
- Django for Startup Founders: A better software architecture for SaaS startups
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SwiftGraphQL – A GraphQL client that lets you forget about GraphQL
Re: Conways law at Facebook
I was at Facebook when GraphQL was invented, maintaining a backend storage service where a core assumption was that storage should be reorganized based on access patterns and that predicates should be pushed down to storage where they can be executed more efficiently.
GraphQL was hard to push predicates down, because you don't know which of the edges were written in PHP.
My response was fquery[1], which is like what's being discussed here but with python as the source language instead of swift and amenable to preserving the largest possible query structure for backend optimizers, including SQL optimizers.
It has some early demos converting a GraphQL/fquery into SQL where possible. It should be possible to add enough metadata to fquery to identify if an edge is non-trivial (calls into another microservice) or trivial (can be optimized to a storage backend or SQL).
[1] https://github.com/adsharma/fquery
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A note from our sponsor - Judoscale
judoscale.com | 28 Apr 2025
Stats
adsharma/fquery is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of fquery is Python.