Orjson Alternatives
Similar projects and alternatives to orjson
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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ormsgpack
Msgpack serialization/deserialization library for Python, written in Rust using PyO3 and rust-msgpack. Reboot of orjson. msgpack.org[Python]
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msgspec
A fast and friendly JSON/MessagePack library, with optional schema validation
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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zet
Zettelkasten Repo. This is where I dump my knowledge as it happens, all my zettels ("slips" or notes) about almost anything and everything. The idea is rather simple really and very powerful.
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TinyDB
TinyDB is a lightweight document oriented database optimized for your happiness :)
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sqlite-utils
Python CLI utility and library for manipulating SQLite databases
orjson reviews and mentions
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Benchmarking Python JSON serializers - json vs ujson vs orjson
For most cases, you would want to go with python’s standard json library which removes dependencies on other libraries. On other hand you could try out ujsonwhich is simple replacement for python’s json library. If you want more speed and also want dataclass, datetime, numpy, and UUID instances and you are ready to deal with more complex code, then you can try your hands on orjson
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Json.dump new line with multiple values in key value pair.
Try https://github.com/ijl/orjson. Not exactly sure if that can help.
- The fastest tool for querying large JSON files is written in Python (benchmark)
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BetterJSONStorage - faster 'Storage Type' for TinyDB.
BetterJSONStorage is a faster 'Storage Type' for TinyDB. It uses treading, the faster Orjson library for parsing the JSON and BLOSC2 for compression.
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A simple Python package written using Rust and Pyo3 (XBRL XML to JSON/CSV parser)
I recently discovered the amazing Pyo3 library which makes it relatively easy to write a Python package using a Rust library. This enables the development of Python packages that utilize the blazing speed of Rust with the usability of Python. Packages such as ORJSON use this approach to achieve state-of-the-art speeds through a Python package.
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Rust is slow (in ways that matter to the most people)
A great example is orjson, which is faster and more correct than equivalent libraries written in C.
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How To Handle JSON Data using Python?
I studied which JSON encoder/decoder was the fastest last year, and orjson was the fastest I could find, by quite a margin.
- GAE/Python - what do you recommend to build an API?
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JSONPerf - Visual, Unbiased and Up-To-Date JSON Performance Benchmark
https://github.com/ijl/orjson/blob/master/Cargo.toml#L60
Stats
ijl/orjson is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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