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Ultrajson Alternatives
Similar projects and alternatives to ultrajson
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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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msgspec
A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
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conda
A system-level, binary package and environment manager running on all major operating systems and platforms.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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marshmallow
A lightweight library for converting complex objects to and from simple Python datatypes.
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RDFLib plugin providing JSON-LD parsing and serialization
Discontinued JSON-LD parser and serializer plugins for RDFLib
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SaaSHub
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better ultrajson alternative or higher similarity.
ultrajson reviews and mentions
Posts with mentions or reviews of ultrajson.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-03.
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Processing JSON 2.5x faster than simdjson with msgspec
ujson
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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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The fastest tool for querying large JSON files is written in Python (benchmark)
I asked about this on the Github issue regarding these benchmarks as well.
I'm curious as to why libraries like ultrajson[0] and orjson[1] weren't explored. They aren't command line tools, but neither is pandas right? Is it perhaps because the code required to implement the challenges is large enough that they are considered too inconvenient to use through the same way pandas was used (ie, `python -c "..."`)?
[0] https://github.com/ultrajson/ultrajson
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A note from our sponsor - InfluxDB
www.influxdata.com | 23 Apr 2024
Stats
Basic ultrajson repo stats
3
4,244
7.0
22 days ago
ultrajson/ultrajson is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of ultrajson is C.
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