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Based on our record, Next.js seems to be a lot more popular than Dadroit JSON Viewer. While we know about 1076 links to Next.js, we've tracked only 11 mentions of Dadroit JSON Viewer. 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.
The reason: file-based routing, SEO support, multiple CSS features, instant UI retrieval from the server, creation of API endpoints within the project itself, and loads of other features. You can read about this in detail here - link. - Source: dev.to / 2 days ago
If you’ve followed this article so far, great job on putting together a commenting system that combines secure authentication with real-time collaboration using Next.js, Prisma, Radix UI, Clerk Auth and Velt. While this is a simple demo, you can build upon it for your projects using these tools. - Source: dev.to / 5 days ago
But I want to say that this topic is clearly not new in 2025, I will not reveal anything supernatural here. HTMX and Alpine.js have already fully proven to everyone that this is not nonsense. I am just retelling everything, but with one interesting remark - this is the HMPL template language which is better than the previous two in some tasks. Next, I will describe why and how it will help you replace Next.js. - Source: dev.to / 20 days ago
This article assumes the reader is a developer that knows their way around Markdown, TypeScript, React.js, and [Next.js] https://nextjs.org/). Familiarity with Tailwind-css would also be useful. - Source: dev.to / 22 days ago
The popularisation of SSR among frontend developers can be largely attributed to the widespread adoption of frameworks with server-side rendering. These frameworks provide an elegant integration of SSR with modern JavaScript libraries and frameworks like React and Vue.js. Next.js, for instance, has become a de facto choice for many React developers seeking to leverage SSR's benefits without sacrificing the... - Source: dev.to / 22 days ago
Whether you're working with CSV or JSON files, the right tools enhance data processing before importing into SQLite. For handling JSON data, a dedicated JSON Viewer can simplify your workflow and save time. For more details on importing CSV files into SQLite, check out this link. Happy querying! - Source: dev.to / 8 months ago
For anyone interested in exploring the data yourself, here are a few tools https://dadroit.com/: desktop tool for processing large JSON files.There’s a free version so you can get pretty far with it if you’re patient https://www.dolthub.com/repositories/dolthub/quest: they’re running a bounty program for some healthcare providers to process the machine readable files, and have some useful code snippets in case... - Source: Hacker News / over 2 years ago
Note for people who don't know much about FreePascal. It is a full-featured and very fast compiler. The resulting program is a rival for the best output of C/CPP compilers. It can be used in the style of simpler languages like Go and is almost as safe as Rust in a much faster manner. It has a great but old-looking IDE, Lazarus. It has been under active development for decades and is used for proper projects like:... - Source: Hacker News / over 2 years ago
The files are insanely large. Eventually the only way I've been able to open them is using the DADROIT large JSON viewer: http://dadroit.com (but even this only worked when I got an M1 Mac). Source: over 2 years ago
For those looking for the ability to (locally) open and query very large JSON files, Dadroit is great: https://dadroit.com. It's been a while since I used it last, but it was a life saver for me when working with JSON lines files in S3 and Kafka log dumps. A side tidbit, IIRC, it was written in Pascal. - Source: Hacker News / over 2 years ago
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