[][install_pip]
[][install_conda]
[][python version]
[][status]
[][apache 2.0 license]
[][tests]
[][codecov]
[][read the docs]
[][pre-commit]
[][ruff]
[][pypi_]
[][conda-forge_]
[pypi_]: https://pypi.org/project/segy/
[conda-forge_]: https://anaconda.org/conda-forge/segy
[status]: https://pypi.org/project/segy/
[python version]: https://pypi.org/project/segy
[read the docs]: https://segy.readthedocs.io/
[tests]: https://github.com/TGSAI/segy/actions/workflows/tests.yaml
[codecov]: https://app.codecov.io/gh/TGSAI/segy
[pre-commit]: https://github.com/pre-commit/pre-commit
[ruff]: https://github.com/astral-sh/ruff
[install_pip]: https://segy.readthedocs.io/en/stable/installation.html#using-pip-and-virtualenv
[install_conda]: https://segy.readthedocs.io/en/stable/installation.html#using-conda
# SEG-Y
> 🚧👷🏻 This project is under active development, expect breaking changes
> the to API 👷🏻🚧
> _\- March, 2024_
This is an efficient and comprehensive SEG-Y parsing library.
See the [documentation][read the docs] for more information.
This is not an official TGS product.
## Features
The library utilizes `numpy` and `fsspec`, includes the reading from various local
and remote resources at a high speed. It also allows the users to build their own
SEG-Y specifications.
## Installing `segy`
Clone the repo and install it using pip:
Simplest way to install `segy` is via [pip] from [PyPI]:
```shell
$ pip install segy
```
or install `segy` via [conda] from [conda-forge]:
```shell
$ conda install -c conda-forge segy
```
> Extras must be installed separately on `Conda` environments.
For details, please see the [installation instructions]
in the documentation.
## Using `segy`
Please see the [Command-line Usage] for details.
For Python API please see the [API Reference] for details.
### Reading Capabilities
It supports reading from local and cloud files (object store). It can read:
- Sequential traces (fastest)
- Disjoint sequential regions (fast)
- Random traces (slow)
### High Performance
The performance is high and to be proven with upcoming benchmarks. The initial
subjective benchmarks is very acceptable.
### Flexibility
The library provides a fully flexible, schematized SEG-Y structure, including
data models and JSON schema parsing and validation.
### Predefined SEG-Y Standards
It supports predefined SEG-Y "standards" for various versions. However,
some versions are still in progress:
- [x] Rev 0 (1975)
- [x] Rev 1 (2002)
- [ ] Rev 2 (2017)
- [ ] Rev 2.1 (2023)
### Custom SEG-Y Standards
You can build your own SEG-Y "standard" with composition of specs for:
- Text header (file + extended)
- Binary header
- Traces (header + extended header + samples)
## Contributing to `segy`
Contributions are very welcome.
To learn more, see the [Contributor Guide].
## Licensing
Distributed under the terms of the [Apache 2.0 license].
`segy` is free and open source software.
## Issues
If you encounter any problems,
please [file an issue] along with a detailed description.
## Credits
This project was established at [TGS](https://www.tgs.com/). Current
maintainer is [Altay Sansal](https://github.com/tasansal) with the support
of many more great colleagues.
The CI/CD tooling is loosely based on [Hypermodern Python Cookiecutter]
with more modern tooling applied elsewhere.
[hypermodern python cookiecutter]: https://github.com/cjolowicz/cookiecutter-hypermodern-python
[pypi]: https://pypi.org/
[conda-forge]: https://conda-forge.org/
[file an issue]: https://github.com/TGSAI/segy/issues
[pip]: https://pip.pypa.io/
[conda]: https://docs.conda.io/
<!-- github-only -->
[apache 2.0 license]: https://github.com/TGSAI/segy/blob/main/LICENSE
[contributor guide]: https://github.com/TGSAI/segy/blob/main/CONTRIBUTING.md
[command-line usage]: https://segy.readthedocs.io/en/stable/cli_usage.html
[api reference]: https://segy.readthedocs.io/en/stable/api_reference.html
[installation instructions]: https://segy.readthedocs.io/en/stable/installation.html
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