Reflex Framework
Flet
PySide
Tkinter
Streamlit
Kivy
Django
BeeWare
GraphQL
Next.js
React
gRPC
Nest.js
Hasura
Strapi
ExpressJS
Reflex Framework GraphQLNo features have been listed yet.
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Based on our record, GraphQL seems to be a lot more popular than Reflex Framework. While we know about 258 links to GraphQL, we've tracked only 3 mentions of Reflex Framework. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Reflex is an open-source full-stack web framework written in and for Python that lets you build both frontend UI and backend logic in pure Python, i.e., you donโt need to manually write JavaScript or separately manage a React/Vue frontend and a separate backend. - Source: dev.to / 5 months ago
> They converted it from React to HTMX, cutting their codebase by almost 70% while significantly improving its capabilities. Happy user of https://reflex.dev framrwork here. I was tired of writing backend APIs with the only purpose that they get consumed by the same's app frontend (typically React). Leading to boilerplate code both backend side (provide APIs) and frontend side... - Source: Hacker News / 10 months ago
Streamlit is one such tool that offers a simple, Pythonic approach. However, it suffers from two main weaknesses: the script needs to be re-run after every user interaction, and customizing the look and feel of a Streamlit app is dificult. Shiny for Python is a great alternative for building dashboards and small data-backed apps. Shiny only re-renders code as necessary - not the entire script, and offers more... - Source: dev.to / about 1 year ago
GraphQL is a query language combined with a server-side runtime. It was created by Facebook in 2012, and soon after, they released the specification to the public and made a NodeJS implementation open source. - Source: dev.to / 4 months ago
Definitely they should include D4M and GraphQL [1],[2]. Not only D4M can cater for structured relational data, it also suitable for sparse data in spreadsheet, matrices and graph. It's essentially a generalization of SQL but for all things data. There's also integration of D4M with SciDB [3]. [1] D4M: Dynamic Distributed Dimensional Data Model: https://d4m.mit.edu/ [2] GraphQL: https://graphql.org/ [3] D4M:... - Source: Hacker News / 8 months ago
GraphQL is becoming a popular choice, making development easier. - Source: dev.to / 10 months ago
In modern software architecture, Jamstack separates the frontend from the backend through API consumption. Traditionally, this has been achieved with RESTful APIs, which enable data exchange between server and client. However, REST often causes performance issues, such as over-fetching and added complexity. A client may need only a small subset of data, but a REST endpoint might return an entire dataset, which... - Source: dev.to / 11 months ago
Before we dive into GraphQL, it's crucial to understand the challenges it was designed to solve. Traditional API architectures like REST often struggle with two pervasive and inefficient patterns:. - Source: dev.to / 11 months ago
Flet - Build internal web apps quickly in the language you already know.
Next.js - A small framework for server-rendered universal JavaScript apps
PySide - Qt for Python - Qt Wiki
React - A JavaScript library for building user interfaces
Tkinter - Tkinter is a Python wrapper for Tcl/Tk that offers classes to create various graphical user interfaces.
gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery
