Alternatives
Products that do what Jist now searches JSON 17x faster than jq does
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…
- 1JS
Hi HN, jist is a JSON path search tool that feels like accessing a JavaScript object. It’s 3x faster than jq for the same use case, and over 2000x more memory efficient when searching a 3.3GB file for the last element (jist reads data in chunks so has constant space use). It doesn’t implement pattern matching yet. A feature I’m looking to add is generating a full JSON schema using the same streaming approach so stay tuned! Any feedback and feature requests are more than welcome
2024 · github.com
- 2FF
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
- 3JQJSON Query▲154
I'm working on a tool that will probably involve querying JSON documents and I'm asking myself how to expose that functionality to my users. I like the power of `jq` and the fact that LLMs are proficient at it, but I find it right out impossible to come up with the right `jq` incantations myself. Has anyone here been in a similar situation? Which tool / language did you end up exposing to your users?
Oct 2025 · jsonquerylang.org
- 4JF
After two years of improvement, I think it's time to share it with you all. Here’s a quick overview: - Common features include validation, formatting, minification, and more. - Visualize JSON in a graph or table view. - Structured comparison with fallback to text comparison. - Navigate though JSON using JSON pointer. - Supports jq. Would love to hear the community's questions, thoughts and comments!
2024 · github.com
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- 6JI
2024 · github.com
- 7JP
2019 · json.pizza
- 8AF
2021 · github.com
- 9SC
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
- 10GL
Hi HN. I've gotten pretty tired of needing to learn a custom programming language for a tool I use once a week or less. So I figured, it might be easier to pick up if `jq` used a programming language I already know. Voila, gq.
2022 · github.com
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THE fastest alternative JSON parser for Go that does not require schema - buger/jsonparser
Jul 2026 · github.com
- 12FA
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!
2023 · github.com
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- 14JJ
Mar 2026 · github.com
- 15FF
2014 · journal.paul.querna.org
- 16FF
2018 · github.com
- 17JM
2012 · github.com
- 18JA
2015 · hperadin.github.io
- 19DF
2021 · datoji.dev
- 20UJ
Hey folks! I know CSV parsers (especially in JS) aren't terribly exciting and someone writes a "better" one every week. I'm in the middle of my parental leave, and this was a project that came out of me looking for the fastest/smallest CSV parser. It all started so innocently, and then turned into a benchmark-validation-athon; the library itself took ~2 weeks to write, but the performance comparisons took another ~4 weeks (on and off). The benchmarks were a huge effort, but I think they are the most thorough to date, both in breadth and in depth, so hopefully you find them useful:…
2023 · github.com
- 21EJ
Wrote a thing about what makes Elysia stand out in a performance benchmark game Basically, there's a JIT "compiler" embedded into a framework This approach has been used by ajv and TypeBox before for input validation, making it faster than other competitors Elysia basically does the same, but scales that into a full backend framework This gave Elysia an unfair advantage in the performance game, making Elysia the fastest framework on Bun runtime, but also faster than most on Node, Deno, and Cloudflare Worker as well, when using the same underlying HTTP adapter There is an escape hatch if…
Feb 2026 · elysiajs.com
- 22WJ
Hey HN! Jaiqu is an AI agent for creating repeatable JSON transforms using jq query language syntax. Jaiqu translates complex JSON structures into repeatable jq queries. jq is a command line utility built for fast, reliable JSON queries. Jaiqu takes advantage of the LLMs for both constructing jq queries as well as using feedback to fix errors/invalid results if those queries are incorrect. Writing code to parse JSON is super annoying. It usually involves manually reading huge JSON balls, parsing the keys in a language of your choice, and pulling the data manually. Also, you're likely to…
2024 · github.com
- 23JI
2018 · kantord.github.io
- 24ST
- 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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