Json_benchmark Alternatives
Similar projects and alternatives to json_benchmark
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simdjson
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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msgspec
A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
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ustore
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
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ucall
Web Serving and Remote Procedure Calls at 50x lower latency and 70x higher bandwidth than FastAPI, implementing JSON-RPC & REST over io_uring ☎️
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japronto
Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.
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typedload
Discontinued Python library to load dynamically typed data into statically typed data structures
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search-dw
Discontinued search-dw is a Python utility to automate "search and download" via the command line. It might be useful if you need to download the results of a Google search for a certain type of topic at the same time
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py_yyjson
Fast and flexible Python JSON parsing (and manipulation!) built on the excellent yyjson project.
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json_benchmark discussion
json_benchmark reviews and mentions
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
If you're primarily targeting Python as an application layer, you may also want to check out my msgspec library[1]. All the perf benefits of e.g. yyjson, but with schema validation like pydantic. It regularly benchmarks[2] as the fastest JSON library for Python. Much of the overhead of decoding JSON -> Python comes from the python layer, and msgspec employs every trick I know to minimize that overhead.
[1]: https://github.com/jcrist/msgspec
[2]: https://github.com/TkTech/json_benchmark
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Sunday Daily Thread: What's everyone working on this week?
- Adding nvme drive support to SMARTie, https://github.com/tktech/smartie, which is a pure-python cross-platform library for getting disk information like serial number, SMART attributes (like disk temperature) - json_benchmark, https://github.com/tktech/json_benchmark, which is a new benchmark and correctness test for the more modern Python JSON libraries - py_yyjson, https://github.com/tktech/py_yyjson, which is still a WIP and provides Python bindings to the yyjson library, which offers comparable speed to simdjson but more flexibility when parsing (comments, arbitrary sized numbers, Inf/Nan, etc) - And some fixes to https://github.com/TkTech/humanmark, which is a markdown library used to edit the README.md in json_benchmark above.
Stats
The primary programming language of json_benchmark is Python.