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Orjson Alternatives
Similar projects and alternatives to orjson
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msgspec
A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
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Onboard AI
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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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ultrajson
Ultra fast JSON decoder and encoder written in C with Python bindings
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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simdjson
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, WatermelonDB, Apache Doris, Milvus, StarRocks
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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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FrameworkBenchmarks
Source for the TechEmpower Framework Benchmarks project
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starlite
Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
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sqlite-utils
Python CLI utility and library for manipulating SQLite databases
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
orjson reviews and mentions
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Litestar 2.0
As we began venturing down that road, a few things emerged that would constitute significant changes to some of the core parts of Litestar, but there were two things in particular that started a chain reaction of changes by opening up further possibilities: The new DTOs and our switch from orjson to msgspec.
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Starlite development updates January ’23
In version 1.45.0, we introduced msgspec as our serialization backend, replacing orjson. This had some immediate performance benefits, but that's not the main reason we made the switch.
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Making Python classes serializable to/from JSON
Doesn't orjson do that already?
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Processing JSON 2.5x faster than simdjson with msgspec
orjson
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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
- 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.
- GAE/Python - what do you recommend to build an API?
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A note from our sponsor - Onboard AI
getonboard.dev | 3 Dec 2023
Stats
ijl/orjson is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of orjson is Python.