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Products that do what Mongoose Schema to JSON Generator does
Smart tool doe Mongoose Schema to JSON Generator
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- 2AG
2020 · github.com
- 3GR
2015 · github.com
- 4GJ
2015 · github.com
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Instantly generate openapi (OAS) 3.0.0 REST + GraphQL APIs
2019
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- 8AT
Hello all To preface this is just something I've been making as a learning exercise, so all feedback is appreciated. This is a tool that converts JSON schemas into TypeScript utility classes for use in Deno. Automatic Type Generation: Typescript interfaces for the compressed and uncompressed versions of your data. Compression & Decompression: Compress and decompress your data. Validation: Built-in data validation using Ajv ensures your data adheres to the schema. Reusability: Once generated, the utility classes can be used in other Deno projects. It currently only supports a subset of JSON…
2023 · github.com
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Extract web data into structured JSON, no scraper required.
Jun 2026 · tabstack.ai
- 12GJ
2023 · jsongenerator.io
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- 17SC
Hi HN, I'm a freelance developer, and I built SnazzyPDF in my spare time to solve a problem I encountered frequently: converting structured data into PDF documents. The existing solutions I found either required manually creating a template or forced you to transform your data into a specific structure. I wanted a tool where you could simply input arbitrary JSON data and get a decent-looking document out. That's why I built SnazzyPDF. * Works with any JSON: No need to restructure your data. SnazzyPDF handles (almost) any JSON data, including deeply nested arrays and objects. * Use REST API…
2024 · snazzypdf.com
- 18JT
2017 · github.com
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- 20JS
2018 · npoint.io
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Generate valid JSON-LD schema markup in seconds — no coding
11d ago · frostrank.com
- 22AT
Hey HN! Erik here from banana.dev We’ve trained a small(ish) language model on structured extraction, and today we’re launching a playground for it at https://anythingtojson.com. Give it a try! This model continues our work on structured generation, following last week’s launch of Fructose[1], a python client for strongly-typed LLM responses. There seem to be two distinct halves of the problem intended to be solved by Fructose and structured generation: 1. the reasoning ability of the model, such as performing chain of thought, creative acts, and natural language tasks. In a way,…
2024 · anythingtojson.com
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