Metadata-Version: 2.1
Name: startorch
Version: 0.1.1a1
Summary: synthetic time-series generator in PyTorch
Home-page: https://github.com/durandtibo/startorch
License: BSD-3-Clause
Keywords: synthetic,time-series,pytorch
Author: Thibaut Durand
Author-email: durand.tibo+gh@gmail.com
Requires-Python: >=3.9,<3.13
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries
Provides-Extra: all
Requires-Dist: batchtensor (>=0.0.2,<0.1)
Requires-Dist: coola (>=0.2,<1.0)
Requires-Dist: iden (>=0.0.2,<0.1) ; extra == "all"
Requires-Dist: matplotlib (>=3.6,<4.0) ; extra == "all"
Requires-Dist: numpy (>=1.23,<2.0)
Requires-Dist: objectory (>=0.1,<1.0)
Requires-Dist: plotly (>=5.0,<6.0) ; extra == "all"
Requires-Dist: torch (>=2.0,<2.3) ; sys_platform == "darwin" and platform_machine != "arm64"
Requires-Dist: torch (>=2.0,<3.0)
Project-URL: Repository, https://github.com/durandtibo/startorch
Description-Content-Type: text/markdown

# startorch

<p align="center">
    <a href="https://github.com/durandtibo/startorch/actions">
        <img alt="CI" src="https://github.com/durandtibo/startorch/workflows/CI/badge.svg">
    </a>
    <a href="https://github.com/durandtibo/startorch/actions">
        <img alt="Nightly Tests" src="https://github.com/durandtibo/startorch/workflows/Nightly%20Tests/badge.svg">
    </a>
    <a href="https://github.com/durandtibo/startorch/actions">
        <img alt="Nightly Package Tests" src="https://github.com/durandtibo/startorch/workflows/Nightly%20Package%20Tests/badge.svg">
    </a>
    <br/>
    <a href="https://durandtibo.github.io/startorch/">
        <img alt="Documentation" src="https://github.com/durandtibo/startorch/workflows/Documentation%20(stable)/badge.svg">
    </a>
    <a href="https://durandtibo.github.io/startorch/">
        <img alt="Documentation" src="https://github.com/durandtibo/startorch/workflows/Documentation%20(unstable)/badge.svg">
    </a>
    <br/>
    <a href="https://codecov.io/gh/durandtibo/startorch">
        <img alt="Codecov" src="https://codecov.io/gh/durandtibo/startorch/branch/main/graph/badge.svg">
    </a>
    <a href="https://codeclimate.com/github/durandtibo/startorch/maintainability">
        <img src="https://api.codeclimate.com/v1/badges/05a12c503bf3be80a00b/maintainability" />
    </a>
    <a href="https://codeclimate.com/github/durandtibo/startorch/test_coverage">
        <img src="https://api.codeclimate.com/v1/badges/05a12c503bf3be80a00b/test_coverage" />
    </a>
    <br/>
    <a href="https://github.com/psf/black">
        <img  alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg">
    </a>
    <a href="https://google.github.io/styleguide/pyguide.html#s3.8-comments-and-docstrings">
        <img  alt="Doc style: google" src="https://img.shields.io/badge/%20style-google-3666d6.svg">
    </a>
    <a href="https://github.com/astral-sh/ruff">
        <img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json" alt="Ruff" style="max-width:100%;">
    </a>
    <a href="https://github.com/guilatrova/tryceratops">
        <img  alt="Doc style: google" src="https://img.shields.io/badge/try%2Fexcept%20style-tryceratops%20%F0%9F%A6%96%E2%9C%A8-black">
    </a>
    <br/>
    <a href="https://pypi.org/project/startorch/">
        <img alt="PYPI version" src="https://img.shields.io/pypi/v/startorch">
    </a>
    <a href="https://pypi.org/project/startorch/">
        <img alt="Python" src="https://img.shields.io/pypi/pyversions/startorch.svg">
    </a>
    <a href="https://opensource.org/licenses/BSD-3-Clause">
        <img alt="BSD-3-Clause" src="https://img.shields.io/pypi/l/startorch">
    </a>
    <br/>
    <a href="https://pepy.tech/project/startorch">
        <img  alt="Downloads" src="https://static.pepy.tech/badge/startorch">
    </a>
    <a href="https://pepy.tech/project/startorch">
        <img  alt="Monthly downloads" src="https://static.pepy.tech/badge/startorch/month">
    </a>
    <br/>
</p>

---

## Overview

Collecting datasets to train Machine Learning models can be time consuming.
Another alternative is to use synthetic datasets.
`startorch` is a Python library to generate synthetic time-series.
As the name suggest, `startorch` relies mostly on PyTorch to generate the time series and to control
the randomness.
`startorch` is built to be modular, flexible and extensible.
Below show some generated sequences by `startorch` where the values are sampled from different
distribution.

<table align="center">
  <tr>
    <td><img src="https://durandtibo.github.io/startorch/assets/figures/uniform.png" width="400" align="center"></td>
    <td><img src="https://durandtibo.github.io/startorch/assets/figures/log-uniform.png" width="400" align="center"></td>
  </tr>
  <tr>
    <td align="center">uniform</td>
    <td align="center">log-uniform</td>
  </tr>
  <tr>
    <td><img src="https://durandtibo.github.io/startorch/assets/figures/sinewave.png" width="400" align="center"></td>
    <td><img src="https://durandtibo.github.io/startorch/assets/figures/wiener.png" width="400" align="center"></td>
  </tr>
  <tr>
    <td align="center">sine wave</td>
    <td align="center">Wiener process</td>
  </tr>
</table>

- [Documentation](https://durandtibo.github.io/startorch/)
- [Installation](https://durandtibo.github.io/startorch/get_started/)
- [Contributing](#contributing)
- [API stability](#api-stability)
- [License](#license)

## Dependencies

| `startorch` | `batchtensor`  | `coola`      | `objectory`  | `numpy`       | `torch`      | `iden`<sup>*</sup> | `matplotlib`<sup>*</sup> | `plotly`<sup>*</sup> | `python`      |
|-------------|----------------|--------------|--------------|---------------|--------------|--------------------|--------------------------|----------------------|---------------|
| `main`      | `>=0.0.1,<0.1` | `>=0.2,<1.0` | `>=0.1,<1.0` | `>=1.23,<2.0` | `>=2.0,<3.0` | `>=0.0.2,<0.1`     | `>=3.6,<4.0`             | `>=5.0,<6.0`         | `>=3.9,<3.12` |
| `0.1.0`     | `>=0.0.1,<0.1` | `>=0.2,<1.0` | `>=0.1,<1.0` | `>=1.22,<2.0` | `>=2.0,<3.0` | `>=0.0.2,<0.1`     | `>=3.6,<4.0`             | `>=5.0,<6.0`         | `>=3.9,<3.12` |

<sup>*</sup> indicates an optional dependency

<details>
    <summary>older versions</summary>

| `startorch` | `coola`            | `objectory`      | `redcat`           | `torch`      | `matplotlib`<sup>*</sup> | `plotly`<sup>*</sup> | `python`      |
|-------------|--------------------|------------------|--------------------|--------------|--------------------------|----------------------|---------------|
| `0.0.8`     | `>=0.0.20,<0.2`    | `>=0.0.7,<0.2`   | `>=0.0.16,<0.1`    | `>=2.0,<3.0` | `>=3.6,<4.0`             | `>=5.12,<6.0`        | `>=3.9,<3.12` |
| `0.0.7`     | `>=0.0.20,<0.0.25` | `>=0.0.7,<0.0.9` | `>=0.0.16,<0.0.18` | `>=2.0,<2.2` | `>=3.6,<3.9`             | `>=5.12,<5.18`       | `>=3.9,<3.12` |
| `0.0.6`     | `>=0.0.20,<0.0.25` | `>=0.0.7,<0.0.9` | `>=0.0.16,<0.0.18` | `>=2.0,<2.2` | `>=3.6,<3.9`             |                      | `>=3.9,<3.12` |
| `0.0.5`     | `>=0.0.20,<0.0.24` | `>=0.0.7,<0.0.8` | `>=0.0.16,<0.0.17` | `>=2.0,<2.1` | `>=3.6,<3.9`             |                      | `>=3.9,<3.12` |
| `0.0.4`     | `>=0.0.20,<0.0.24` | `>=0.0.7,<0.0.8` | `>=0.0.16,<0.0.17` | `>=2.0,<2.1` | `>=3.6,<3.9`             |                      | `>=3.9,<3.12` |
| `0.0.3`     | `>=0.0.20,<0.0.24` | `>=0.0.7,<0.0.8` | `>=0.0.9,<0.0.10`  | `>=2.0,<2.1` | `>=3.6,<3.9`             |                      | `>=3.9,<3.12` |

</details>

## Contributing

Please check the instructions in [CONTRIBUTING.md](.github/CONTRIBUTING.md).

## API stability

:warning: While `startorch` is in development stage, no API is guaranteed to be stable from one
release to the next.
In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release.
In practice, this means that upgrading `startorch` to a new version will possibly break any code
that was using the old version of `startorch`.

## License

`startorch` is licensed under BSD 3-Clause "New" or "Revised" license available
in [LICENSE](LICENSE) file.

