{"id":13571099,"url":"https://github.com/arundo/tsaug","last_synced_at":"2025-04-04T10:04:53.282Z","repository":{"id":44440199,"uuid":"211205038","full_name":"arundo/tsaug","owner":"arundo","description":"A Python package for time series augmentation","archived":false,"fork":false,"pushed_at":"2023-01-11T11:16:16.000Z","size":22435,"stargazers_count":350,"open_issues_count":11,"forks_count":36,"subscribers_count":11,"default_branch":"master","last_synced_at":"2025-02-19T12:55:19.318Z","etag":null,"topics":["audio","data-augmentation","deep-learning","time-series"],"latest_commit_sha":null,"homepage":"https://tsaug.readthedocs.io","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/arundo.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-09-27T00:38:05.000Z","updated_at":"2025-02-12T02:42:03.000Z","dependencies_parsed_at":"2023-02-09T02:46:01.199Z","dependency_job_id":null,"html_url":"https://github.com/arundo/tsaug","commit_stats":null,"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Ftsaug","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Ftsaug/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Ftsaug/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Ftsaug/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/arundo","download_url":"https://codeload.github.com/arundo/tsaug/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247157077,"owners_count":20893202,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["audio","data-augmentation","deep-learning","time-series"],"created_at":"2024-08-01T14:00:58.454Z","updated_at":"2025-04-04T10:04:53.255Z","avatar_url":"https://github.com/arundo.png","language":"Python","readme":"# tsaug\n\n[![Build Status](https://travis-ci.com/arundo/tsaug.svg?branch=master)](https://travis-ci.com/arundo/tsaug)\n[![Documentation Status](https://readthedocs.org/projects/tsaug/badge/?version=stable)](https://tsaug.readthedocs.io/en/stable/?badge=stable)\n[![Coverage Status](https://coveralls.io/repos/github/arundo/tsaug/badge.svg?branch=master\u0026service=github)](https://coveralls.io/github/arundo/tsaug?branch=master)\n[![PyPI](https://img.shields.io/pypi/v/tsaug)](https://pypi.org/project/tsaug/)\n[![Downloads](https://pepy.tech/badge/tsaug)](https://pepy.tech/project/tsaug)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n\n`tsaug` is a Python package for time series augmentation. It offers a set of\naugmentation methods for time series, as well as a simple API to connect\nmultiple augmenters into a pipeline.\n\nSee https://tsaug.readthedocs.io complete documentation.\n\n## Installation\n\nPrerequisites: Python 3.5 or later.\n\nIt is recommended to install the most recent **stable** release of tsaug from PyPI.\n\n```shell\npip install tsaug\n```\n\nAlternatively, you could install from source code. This will give you the **latest**, but unstable, version of tsaug.\n\n```shell\ngit clone https://github.com/arundo/tsaug.git\ncd tsaug/\ngit checkout develop\npip install ./\n```\n\n## Examples\nA first-time user may start with two examples:\n\n- [Augment a batch of multivariate time series](https://tsaug.readthedocs.io/en/stable/quickstart.html#augment-a-batch-of-multivariate-time-series)\n- [Augment a 2-channel audio sequence](https://tsaug.readthedocs.io/en/stable/quickstart.html#augment-a-2-channel-audio-sequence)\n\nExamples of every individual augmenter can be found [here](https://tsaug.readthedocs.io/en/stable/notebook/Examples%20of%20augmenters.html)\n\nFor full references of implemented augmentation methods, please refer to [References](https://tsaug.readthedocs.io/en/stable/references.html).\n\n## Contributing\n\nPull requests are welcome. For major changes, please open an issue first to\ndiscuss what you would like to change.\n\nPlease make sure to update tests as appropriate.\n\nPlease see [Contributing](https://tsaug.readthedocs.io/en/stable/developer.html) for more details.\n\n\n## License\n\n`tsaug` is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for details.","funding_links":[],"categories":["📦 Packages"],"sub_categories":["Python"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farundo%2Ftsaug","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farundo%2Ftsaug","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farundo%2Ftsaug/lists"}