Alternatives
Products that do what Jist searches JSON 3x faster than jq does
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
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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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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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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
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2024 · github.com
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2020 · github.com
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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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Hi all, I've made a javascript library to simplify searching/sorting/filtering in arrays of objects. Its inspired by both GraphQL and SQL, but implemented using javascript Proxies. Instead of creating a new language, its all just javascript. I've made it as part of an experimental database, which uses javascript as the query engine. The normal javascript map/reduce/sort functions are quite difficult to master for junior developers. JAQT is easier to explain, and can still be used in combination with any existing array functions. Please let me know what you think of the…
2024 · github.com
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2025 · github.com
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2021 · github.com
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2019 · json.pizza
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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
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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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It is a kind of grep for YAML and JSON files. It allows you to search for a key and get the value and the line number where it is located. I created this tool because I sometimes struggle to find specific keys in typical i18n rails yamls. In the views, you don't always have the whole key, but it is extrapolated from the context. I am sure there are other use cases; I hope you find it useful. Cheers!
2024 · github.com
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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
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Mar 2026 · github.com
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Hi HN! I'm Alex, a tech enthusiast. I'm excited to show you Jesth, a next-level human-readable data serialization format. This project started out as a markup language for writing the docstrings of functions that would ultimately be consumed by a documentation generator. Basically the idea was to split a docstring into sections like Description and Parameters. Each section would consist of a header in square brackets and a body (lines of text between two headers). Here's what a docstring for a sum function would look like: This function takes in two integers a and b and returns their sum.…
2023 · github.com
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Hi HN, I’m Joan, the developer of Quicklang. I made this app to easily translate and keep in sync all my localization JSON files for my side projects. While searching online for a similar tool, I only found enterprise solutions that do not allow direct editing of JSON files. I used to use ChatGPT to translate the JSON translation file changes before coding Quicklang. However, I realized that ChatGPT only allows you to input short content for translation into another language (even if you provide a .json file), and each time I had to request translations for one language at a time. So, I…
2024 · quicklang.app
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2024 · github.com
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2025 · zenquery.app
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We've all been there: you have some JSON data you need to make sense of, so you Google "json formatter" and end up at a site ridden with ads. I used to look at at lot of JSON (mostly log data) for $oldjob, so I set out to build something better. I know there are a lot of tools in this space, but I've put a lot of love into JSON Dive: things like Vim keyboard shortcuts to navigate, dark mode, timestamp/image previews, and multi-file-format-support (XML-in-JSON was a format I dealt with in the context of LLMs/tool calls). I've also made an effort to ensure it can handle large files,…
Sep 2025 · jsondive.app
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