Alternatives
Products that do what fastgron: A JSON to GRON Converter That's 40 Times Faster Than Gron does
Hello HN! I want to introduce fastgron, my new project. fastgron is a JSON to GRON converter, built to be incredibly fast – it's 40 times faster than Gron. GRON is a tool for making JSON greppable, but it can slow down with larger files. With fastgron, even a 200MB JSON file can be converted in just 1 second. Key features include streaming conversion for memory efficiency and an optimized path reconstruction for faster operations. It leverages C++ and the simdjson and fast_io libraries for speed. I welcome all feedback, suggestions, or questions. Thank you!
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2021 · github.com
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A few months ago, I benchmarked FastAPI on an i9 MacBook Pro. I couldn't believe my eyes. A primary REST endpoint to `sum` two integers took 6 milliseconds to evaluate. It is okay if you are targeting a server in another city, but it should be less when your client and server apps are running on the same machine. FastAPI would have bottleneck-ed the inference of our lightweight UForm neural networks recently trending on HN under the title "Beating OpenAI CLIP with 100x less data and compute". (Thank you all for the kind words!) So I wrote another library. It has been a while since I have…
2023 · github.com
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2018 · github.com
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2014 · journal.paul.querna.org
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2014 · github.com
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2015 · hperadin.github.io
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2018 · github.com
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Hey HN, I'm 13, from Nigeria, and I just released PrinceJS — the fastest web framework for Bun right now. • 19,200 req/s (beats Hono/Elysia/Express) • 2.8 kB gzipped • Tree-shakable (cache, AI, email, cron, SSE, queue, test, static...) • Zero deps. Zero config. Built in < 1 week. No team. Just me and Bun. Try it: `bun add princejs` GitHub: https://github.com/MatthewTheCoder1218/princejs Docs: https://princejs.vercel.app Brutal feedback welcome. What's missing? – @Lil_Prince_1218
Nov 2025 · princejs.vercel.app
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Jul 2026 · github.com
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2019 · json.pizza
- 11PJ
2018 · github.com
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2021 · datoji.dev
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2016 · github.com
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Serialization framework with some interesting numbers: 10-20x faster on nested objects than json/protobuf. Technical approach: compile-time codegen (no reflection), compact binary protocol with meta-packing, little-endian layout optimized for modern CPUs. Unique features that other fast serializers don't have: - Cross-language without IDL files (Rust ↔ Python/Java/Go) - Trait object serialization (Box) - Automatic circular reference handling - Schema evolution without coordination Happy to discuss design trade-offs. Benchmarks:…
Oct 2025 · fory.apache.org
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2017 · github.com
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2017 · quicktype.io
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- What's different? It's fast. On my machine, the stream decoder is faster than bytedance/sonic which claim to be the fastest even though mine is written in pure Go and Sonic is written in Go + C + Assembly. It also is a drop-in replacement of the standard library. - Why is it fast? technologies used are in my articles (available in English and Japanese) EN: https://sugawarayuuta.medium.com/still-i-wanted-to-build-the... JA: https://zenn.dev/sugawarayuuta/articles/2a5a3cb3f9a504
2023 · github.com
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2018 · github.com
- 20SC
Problem JSON/NDJSON is everywhere in data platforms, but compression usually breaks searchability. You either keep queryable raw stores (high I/O/egress) or compress into gz/zstd blobs (cheap to store, painful to probe). The “cloud tax” shows up as wasted reads. What I built (SEE — Semantic Entropy Encoding) A schema-aware, searchable compression codec for JSON that keeps exists/pos lookups fast while still compressing. Internals: structure-aware delta + dictionaries, a PageDir + mini-index to jump to relevant pages, and a tuned Bloom filter that skips ~99% of pages.…
Oct 2025 · github.com
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2015 · github.com
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After fine-tuning GPT for a personal project, I realized how tedious it is to write plain text in a massive JSON file. That's why I built this app for my own use, and I want to see if others could benefit from a tool like this as well ;)
2024 · finetuna-ui.com
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Hi HN! Happy to share that jist can now search JSON 17x faster than jq for a provided input (string or a file). The major change is using the bleeding edge simdjson parser as the preferred way of parsing and querying the input. Since simdjson can only work on files up to 4.2GB, jist falls back to its earlier implementation of scanning through input in chunks of 1MB which means it can still query files of virtually infinite size 3x faster than jq ever could while using ~10MB of memory. The next major feature will be summarizing input JSON into a schema - and it will do this by scanning the…
2025 · github.com
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Hi everyone, I built a small web tool called Datamorph because I kept running into JSON/CSV converters that either broke with nested data, required login, or added weird formatting. Datamorph is a minimal, fast, no-login tool that can: • Convert JSON → CSV and CSV → JSON • Auto-detect structure (arrays, nested objects, mixed data) • Handle uploads or manual text input • Beautify / fix invalid JSON • Give clean, flat CSV output for real-world messy data It’s built with React + Supabase + serverless functions. Everything runs client-side except file parsing, so nothing is stored. I…
Nov 2025 · datamorphio.vercel.app
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