json-buffet VS japronto

Compare json-buffet vs japronto and see what are their differences.

japronto

Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser. (by squeaky-pl)
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json-buffet japronto
2 3
0 8,618
- -
3.0 0.0
over 1 year ago about 1 year ago
C++ C
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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json-buffet

Posts with mentions or reviews of json-buffet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-18.
  • Analyzing multi-gigabyte JSON files locally
    14 projects | news.ycombinator.com | 18 Mar 2023
    And here's the code: https://github.com/multiversal-ventures/json-buffet

    The API isn't the best. I'd have preferred an iterator based solution as opposed to this callback based one. But we worked with what rapidjson gave us for the proof of concept.

  • Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
    20 projects | news.ycombinator.com | 6 Mar 2023
    Ha! Thanks to you, Today I found out how big those uncompressed JSON files really are (the data wasn't accessible to me, so i shared the tool with my colleague and he was the one who ran the queries on his laptop): https://www.dolthub.com/blog/2022-09-02-a-trillion-prices/ .

    And yep, it was more or less they way you did with ijson. I found ijson just a day after I finished the prototype. Rapidjson would probably be faster. Especially after enabling SIMD. But the indexing was a one time thing.

    We have open sourced the codebase. Here's the link: https://github.com/multiversal-ventures/json-buffet . Since this was a quick and dirty prototype, comments were sparse. I have updated the Readme, and added a sample json-fetcher. Hope this is more useful for you.

    Another unwritten TODO was to nudge the data providers towards a more streaming friendly compression formats - and then just create an index to fetch the data directly from their compressed archives. That would have saved everyone a LOT of $$$.

japronto

Posts with mentions or reviews of japronto. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-06.

What are some alternatives?

When comparing json-buffet and japronto you can also consider the following projects:

is2 - embedded RESTy http(s) server library from Edgio

socketify.py - Bringing Http/Https and WebSockets High Performance servers for PyPy3 and Python3

semi_index - Implementation of the JSON semi-index described in the paper "Semi-Indexing Semi-Structured Data in Tiny Space"

oha - Ohayou(おはよう), HTTP load generator, inspired by rakyll/hey with tui animation.

json_benchmark - Python JSON benchmarking and "correctness".

yyjson - The fastest JSON library in C

reddit_mining

jq-zsh-plugin - jq zsh plugin

ucall - Web Serving and Remote Procedure Calls at 50x lower latency and 70x higher bandwidth than FastAPI, implementing JSON-RPC & REST over io_uring ☎️

Apache Arrow - Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

vibora - Fast, asynchronous and elegant Python web framework.

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