diojit VS yapic.json

Compare diojit vs yapic.json and see what are their differences.

diojit

Fully compatible CPython jit compiler. Optimising Dynamic, Interpreted, and Object-oriented(DIO) programs. (by thautwarm)
Cpython JIT
Source Code
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yapic.json

Ultra fast json encode / decode library for Python 3.5+ (by zozzz)
JSON Python Python3 Fast Datetime Cpython
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diojit yapic.json
1 1
115 18
- -
0.0 2.3
about 3 years ago about 1 year ago
Python Python
BSD 2-clause "Simplified" License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

diojit

Posts with mentions or reviews of diojit. We have used some of these posts to build our list of alternatives and similar projects.

yapic.json

Posts with mentions or reviews of yapic.json. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-25.

What are some alternatives?

When comparing diojit and yapic.json you can also consider the following projects:

Cython - The most widely used Python to C compiler

orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

marrow.mailer - A light-weight, modular, message representation and mail delivery framework for Python.

jsonperf - An unbiased, multi-language performance benchmark of JSON libraries

dulwich - Pure-Python Git implementation

numpy-stl - Simple library to make working with STL files (and 3D objects in general) fast and easy.

diojit vs Cython yapic.json vs orjson diojit vs marrow.mailer yapic.json vs jsonperf diojit vs dulwich yapic.json vs numpy-stl