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Tags: Backend and APIs
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25–48 of 51 · Most stars

FW/1 - Framework One - is a lightweight, convention over configuration, MVC application framework for ColdFusion / CFML.

TranslatedShip a money-making AI site for every new keyword. Cloudflare-native starter with auth, credits, payments and AI generation. | A framework for new-keyword site clusters: one new keyword, one site, live in an afternoon. Keep iterating on the ones that take off, and leave alone the ones that don't. Share what doesn't change, and keep what changes independent.

A Flask extension to access, upload, download, save and delete files on cloud storage providers such as: AWS S3, Google Storage, Microsoft Azure, Rackspace Cloudfiles, and even Local file system

Goblet is an easy-to-use framework that enables developers to quickly spin up fully featured REST APIs with python on GCP

WebApi toolset that allows you to make CRUD REST APIs with one line of code and to create gRPC and SignalR from reusable components too

  • library
  • web-application
  • webapi
  • webapi-core

trycast parses JSON-like values whose shape is defined by TypedDicts and other standard Python type hints.

  • parsing
  • python
  • typechecking
  • runtime-typechecking

Veganify is a modern webapp that allows you to easily scan EAN barcodes to check if a product is vegan-friendly. With a database of over 3 million products, you can quickly find out if your favorite foods and products are suitable for a vegan diet.

  • scanner
  • barcode
  • html5
  • javascript

Lightweight Java library for reading and writing fixed-width / fixed-length flat files using annotations on POJOs — for banking, payroll, EDI, mainframe, and batch integrations.

  • annotations
  • banking
  • batch-processing
  • edi

Modern Pure Go implementation of the HDF5 file format

  • go
  • golang
  • hdf5
  • hdf5-format

Typed, validated config from process.env, .env files, or any object, on Node, Bun, Deno, Cloudflare Workers, and the browser. No runtime dependencies.

Pure Go library for reading and writing MATLAB .mat files (v5-v7.3+). No CGo, no external dependencies. Full support for numeric types, complex numbers, and multi-dimensional arrays. Cross-platform (Windows/Linux/macOS). Part of SciGoLib ecosystem.