screenshot-to-code
fury-benchmarks
| screenshot-to-code | fury-benchmarks | |
|---|---|---|
| 17 | 4 | |
| 50,593 | 2 | |
| - | - | |
| 9.7 | 5.9 | |
| 2 days ago | 9 days ago | |
| Python | Java | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
screenshot-to-code
- Screenshot to Code
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Show HN: Turn a recording of an app into a functional prototype with Claude Opus
Thanks!
There's a dropdown where you can choose a stack for screenshots (Tailwind, React, Vue, etc.). I haven't updated the prompts for the video feature just yet. You can tweak the prompt yourself here: https://github.com/abi/screenshot-to-code/blob/6069c2a118592...
The quality of the output code is solid, I think. You can see the code for the examples: https://codepen.io/abi/pen/ExJPdop and https://codepen.io/abi/pen/jORWeYB
I think the biggest thing LLM code is typically missing is better abstractions/componentization. You could probably prompt around some of that.
- Evaluating Claude 3 for Converting Screenshots to Code
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You Don't Need React
You can use GPT-V to create functional components from images directly:
There was an open source project (https://github.com/abi/screenshot-to-code) that I borrowed the prompt from and made a custom GPT for myself where I just drag and drop the image. It’s not perfect but it’s pretty great overall!
Here are the prompts:
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Convert a screenshot to a working Flutter app
PS: I got the idea from tldraw/make-real and abi/screenshot-to-code projects. So all credit to them 🙌
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Get Ready to Rock Web Development: Screenshot to Code with GPT-4V!
Screenshot to Code GitHub Repo: https://github.com/abi/screenshot-to-code
- Has anyone came up with a way to create images from your own photos?
- FLaNK Stack Weekly for 20 Nov 2023
- GitHub - abi/screenshot-to-code: Drop in a screenshot and convert it to clean HTML/Tailwind/JS code
fury-benchmarks
- FLaNK Stack Weekly for 20 Nov 2023
- FLaNK Stack Weekly for 30 Oct 2023
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Fury: 170x faster than JDK, fast serialization powered by JIT and Zero-copy
1) Fury is 41.6x faster than jackson for Struct serialization 2) Fury is 65.6x faster than jackson for Struct deserialization 3) Fury is 9.4x faster than jackson for MediaContent serialization 4) Fury is 9.6x faster than jackson for MediaContent deserialization
see https://github.com/chaokunyang/fury-benchmarks for detailed benchmark code.
What are some alternatives?
Scada-LTS - Scada-LTS is an Open Source, web-based, multi-platform solution for building your own SCADA (Supervisory Control and Data Acquisition) system.
jvm-serializers - Benchmark comparing serialization libraries on the JVM
awesome-public-real-time-datasets - A list of publicly available datasets with real-time data maintained by the team at bytewax.io
MemoryPack - Zero encoding extreme performance binary serializer for C# and Unity.
CoC2023 - Community over Code, Apache NiFi, Apache Kafka, Apache Flink, Python, GTFS, Transit, Open Source, Open Data
MessagePack for C# (.NET, .NET Core, Unity, Xamarin) - Extremely Fast MessagePack Serializer for C#(.NET, .NET Core, Unity, Xamarin). / msgpack.org[C#]
make-real - Draw a ui and make it real
grpc-dotnet - gRPC for .NET
TinyLlama - The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
incubator-fury - A blazingly fast multi-language serialization framework powered by JIT and zero-copy.
StyleTTS2 - StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
orbital - Orbital automates integration between data sources (APIs, Databases, Queues and Functions). BFF's, API Composition and ETL pipelines that adapt as your specs change.