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*[pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
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*[aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
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*[datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
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*[desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery.
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*[optimus](https://github.com/hi-primus/optimus) - Agile Data Science Workflows made easy with PySpark.
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## Data Validation
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*[marshmallow](https://github.com/marshmallow-code/marshmallow) - A lightweight library for converting complex objects to and from simple Python datatypes.
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*[pysimdjson](https://github.com/TkTech/pysimdjson) - A Python bindings for [simdjson](https://github.com/lemire/simdjson).
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*[python-rapidjson](https://github.com/python-rapidjson/python-rapidjson) - A Python wrapper around [RapidJSON](https://github.com/Tencent/rapidjson).
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*[toonify](https://github.com/ScrapeGraphAI/toonify) - A compact, human-readable serialization format that reduces LLM token usage by 30-60% compared to JSON.
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*[ultrajson](https://github.com/esnme/ultrajson) - A fast JSON decoder and encoder written in C with Python bindings.
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