Name | myne JSON |
Version |
0.2.3
JSON |
| download |
home_page | None |
Summary | Parser for manga and light novel filenames. |
upload_time | 2025-08-07 07:36:13 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.9 |
license | None |
keywords |
manga
parser
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# myne
[](https://github.com/Ravencentric/myne/actions/workflows/tests.yml)
[](https://github.com/Ravencentric/myne/actions/workflows/release.yml)


[](https://pypi.org/project/myne)


`myne` is a parser for manga and light novel filenames, providing the `Book` class for extracting and representing metadata such as title, volume, chapter, edition, and more.
## Usage
```python
from myne import Book
book = Book.parse("Ascendance of a Bookworm - v07 (2021) (Digital) (Kinoworm).cbz")
assert book.title == "Ascendance of a Bookworm"
assert book.volume == "7"
assert book.year == 2021
assert book.digital is True
assert book.group == "Kinoworm"
```
Checkout the complete documentation [here](https://ravencentric.cc/myne/).
## Installation
`myne` is available on [PyPI](https://pypi.org/project/myne/), so you can simply use pip to install it.
```console
pip install myne
```
## Building from source
Building from source requires the [Rust toolchain](https://rustup.rs/) and [Python 3.9+](https://www.python.org/downloads/).
- With [`uv`](https://docs.astral.sh/uv/):
```console
git clone https://github.com/Ravencentric/myne
cd myne
uv build
```
- With [`pypa/build`](https://github.com/pypa/build):
```console
git clone https://github.com/Ravencentric/myne
cd myne
python -m build
```
## License
Licensed under either of:
- Apache License, Version 2.0 ([LICENSE-APACHE](https://github.com/Ravencentric/myne/blob/main/LICENSE-APACHE) or <https://www.apache.org/licenses/LICENSE-2.0>)
- MIT license ([LICENSE-MIT](https://github.com/Ravencentric/myne/blob/main/LICENSE-MIT) or <https://opensource.org/licenses/MIT>)
at your option.
## Contributing
Contributions are welcome! Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.
Raw data
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