Jist now searches JSON 17x faster than jq
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…
Jist now searches JSON 17x faster than jq launched on January 11, 2025 with 7 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Search a JSON path and get the value fast. Contribute to adelamodwala/jist development by creating an account on GitHub.
jist attempts to find the complete JSON value (string, number, bool, or JSON object) for a given search key as fast as possible. You can also summarize a full json/ndjson file into a schema to you know... get the "jist" of it ;) jist uses the state-of-the art simdjson library for parsing JSON input / files smaller than 4.2GB in size. For files larger than 4.2GB or that don't fit into memory or forced streaming mode (option -s or --streaming ), jist falls back to an earlier implementation using a simple character based lexer json-tools . While the fallback implementation is relatively slower than simdjson, it's still really fast at a throughput of ~300MB/s and uses almost no memory (around…from github.com
In the maker’s words, at launch
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…
Does a similar job
all alternatives →
Jist searches JSON 3x faster than jq2024 · github.com · ▲11Hi 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
Faster FastAPI with simdjson and io_uring on Linux 5.192023 · github.com · ▲290A 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…
jql – Easier jq Alternative with a Lispy Syntax Written in Go2020 · github.com · ▲217Easy JSON Query Processor with a Lispy syntax in Go - cube2222/jql
JSON QueryOct 2025 · jsonquerylang.org · ▲154I'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?
JSON For You – Visualize JSON in graph or table views2024 · github.com · ▲211After 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!
Searchable compression for JSON – ~99% page skip and sub-ms lookups2025 · github.com · ▲15Problem 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.…
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