Alternatives
Products that do what SmarkForm does
Form library: JSON I/O, nested lists and subforms, hotkeys
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We're a team of three friends who have been working with forms and Open Source for a decade, and we joined forces together to create something where we can apply all of our experience. We recently released GolemUI, an Open Source library to generate forms dynamically from JSON definitions, with a typed layer to simplify authoring. This library has a lot to offer. These are the main characteristics: 1. A JSON engine. The form is governed by a JSON definition that you can store in a DB, version, diff, or generate it with LLMs as a validated JSON. 2. We provide also 28 headless components (and…
Jul 2026 · golemui.com
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2024 · github.com
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2017 · maxleiter.github.io
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2015 · github.com
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Hey HN, I've been using GPT a lot lately in some side projects around data generation and benchmarking. During the course of prompt tuning I ended up with a pretty complicated request: the value that I was looking for, an explanation, a criticism, etc. JSON was the most natural output format for this but results would often be broken, have wrong types, or contain missing fields. There's been some positive movement in this space, like with jsonformer (https://github.com/1rgs/jsonformer) the other day. But nothing that was plug and play with GPT. This library consolidates…
2023 · github.com
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2021 · github.com
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2016 · github.com
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2011 · github.com
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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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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
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2012 · github.com
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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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Link to project: https://github.com/haldun/myformbuilder Link to working app: http://haldun.me/myformbuilder/editor.html A simple JavaScript based form builder. Currently it has no backend, just generates form structure in JSON. Any feedback is welcomed. Thanks.
2012
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Doing dynamic dispatching in a strict static typing language is hard. Something as simple as, map.put("add", add); map.put("hello", hello); fn add(a: i32, b: i32) i32 { return a + b; } fn hello() []const u8 { return "Hello World"; } is impossible because the value type of key/value of the map needs to be the same but all the function types are different. Calling functions with different number of parameters, different parameter types, and different return type dynamically is difficult. Other languages either use dynamic typing, runtime reflection, macro, or passing in one big generic…
2025 · github.com
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2020 · jsonformatter.live
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Hi HN ! I'm Alex, a tech enthusiast. I'm excited to show you Paradict (https://github.com/pyrustic/paradict), my solution for streamable multi-format serialization. Although JSON, YAML, and TOML are all human-readable, they serve different purposes. For example, TOML is specifically designed for configuration files while JSON is used as a data interchange format. Sometimes an initiative to create a binary version of JSON arises and as far as I know, it ends with an unidirectional mapping of datatypes. There is no silver bullet, yet one coherent solution built from scratch…
2023 · github.com
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2016 · github.com
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