Pyjson_tricks Alternatives

Extra features for Python's JSON: comments, order, numpy, pandas, datetimes, and many more! Simple but customizable.
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Alternatives To mverleg/pyjson_tricks
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
ijl/orjson 5,233 14 1,182 about 2 years ago 117 October 26, 2023 2 apache-2.0 Python
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
jsonpickle/jsonpickle 1,180 1,674 758 about 2 years ago 40 August 13, 2023 71 bsd-3-clause Python
Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.
scikit-hep/awkward 772 14 77 about 2 years ago 229 December 06, 2023 119 bsd-3-clause Python
Manipulate JSON-like data with NumPy-like idioms.
thombashi/pytablewriter 575 39 50 over 2 years ago 125 October 08, 2023 5 mit Python
pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.
mverleg/pyjson_tricks 154 39 65 over 2 years ago 48 August 19, 2023 10 other Python
Extra features for Python's JSON: comments, order, numpy, pandas, datetimes, and many more! Simple but customizable.
hukenovs/hh_research 41 0 0 almost 3 years ago 0 0 gpl-3.0 Jupyter Notebook
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temp3rr0r/Longsword-Stance-RESTful-Service 7 0 0 over 6 years ago 0 0 Python
Longsword Stance RESTful Service Working demo: https://www.youtube.com/watch?v=v7hvOyPQ0EM Longsword Stance RESTful Service: Invokes prediction results with real-time multivariate time series data. Using Flask and python, the pre-trained bidirectional LSTM deep learning model is loaded to memory. RESTful post request containing real-time rows of IMU data can be used to classify the longsword movement stance. Information on the classification confidence and execution time in milliseconds is also provided.
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