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5 | 5 |
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6 | 6 | 
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7 | 7 |
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| -Fast, flexible Python bindings for the excellent [yyjson][] project. |
| 8 | +Fast and flexible Python JSON parsing built on the excellent [yyjson][] |
| 9 | +project. |
| 10 | + |
| 11 | + |
| 12 | + |
| 13 | + |
| 14 | + |
| 15 | +- **Fast**: `yyjson` is several times faster than the builtin JSON module, and |
| 16 | + is [faster than most other JSON libraries][fast]. |
| 17 | +- **Flexible**: Parse JSON with strict specification compliance, or with |
| 18 | + extensions such as comments, trailing commas, Inf/NaN, numbers of any size, |
| 19 | + and more. |
| 20 | +- **Lightweight**: `yyjson` is a lightweight project dependency with low |
| 21 | + maintenance overhead. It's written in C, and has no dependencies other than |
| 22 | + a C89 compiler. Built wheels are between 50kb and 800kb depending on the |
| 23 | + platform. |
| 24 | +- **Portable**: Binary wheels are available for many versions of Python |
| 25 | + on many architectures, such as x86, x86_64, ARM, and ARM64, PowerPC, IBM Z, |
| 26 | + and more. PyPy is also supported. Supports Python 3.9 and newer. |
| 27 | +- **Manipulate documents**: The fastest JSON Merge-Patch (RFC 7386), JSON Patch |
| 28 | + (RFC 6902), and JSON Pointer (RFC 6901) implementations available for Python |
| 29 | + allow you to manipulate JSON documents without deserializing them into Python |
| 30 | + objects. |
| 31 | +- **Traceable**: `yyjson` uses Python's memory allocator by default, so you can |
| 32 | + trace memory leaks and other memory issues using Python's built-in tools. |
9 | 33 |
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10 | 34 | ## Documentation
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11 | 35 |
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12 | 36 | Find the latest documentation at https://tkte.ch/py_yyjson.
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13 | 37 |
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14 | 38 | [yyjson]: https://github.com/ibireme/yyjson
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| 39 | +[fast]: https://github.com/tktech/json_benchmark |
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