# wandbtocsv
<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
## Background
`wandbtocsv` allows you to quickly export a flat csv file of the top
level metrics, config, etc. from your [Weights &
Biases](https://wandb.ai/) runs in an easy to use CLI interface. This
utility will also get peak gpu and system memory usage for each run.
## Install
``` sh
pip install wandbtocsv
```
## How to use
``` python
!wandbtocsv -h
```
usage: wandbtocsv [-h] [--entity ENTITY] [--project PROJECT]
[--output_file OUTPUT_FILE]
options:
-h, --help show this help message and exit
--entity ENTITY Entity for the WANDB runs. If not provided,
attempts to fetch from environment variable
'WANDB_ENTITY'.
--project PROJECT Project for the WANDB runs. If not provided,
attempts to fetch from environment variable
'WANDB_PROJECT'.
--output_file OUTPUT_FILE Path to save the output CSV. Default name format:
{entity}-{project}-{mmddyy}.csv
``` python
!wandbtocsv --entity hamelsmu --project deepspeed-data
```
Fetching runs... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00% 0:00:01[36m0:00:03
Saved 480 runs to hamelsmu-deepspeed-data-100823.csv
## Bonus, explore your wandb runs in [Datasette](https://datasette.io/)
``` bash
csvs-to-sqlite hamelsmu-deepspeed-data-100823.csv hamelsmu-deepspeed-data-100823.db
datasette hamelsmu-deepspeed-data-100823.db -o
```
Raw data
{
"_id": null,
"home_page": "https://github.com/hamelsmu/wandbtocsv",
"name": "wandbtocsv",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "nbdev jupyter notebook python",
"author": "Hamel Husain",
"author_email": "hamel.husain@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/5a/7a/0572af776c82895e819e1f843bcfe24f21f64996cf77fb1fbee8a1c4117b/wandbtocsv-0.0.6.tar.gz",
"platform": null,
"description": "# wandbtocsv\n\n<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->\n\n## Background\n\n`wandbtocsv` allows you to quickly export a flat csv file of the top\nlevel metrics, config, etc. from your [Weights &\nBiases](https://wandb.ai/) runs in an easy to use CLI interface. This\nutility will also get peak gpu and system memory usage for each run.\n\n## Install\n\n``` sh\npip install wandbtocsv\n```\n\n## How to use\n\n``` python\n!wandbtocsv -h\n```\n\n usage: wandbtocsv [-h] [--entity ENTITY] [--project PROJECT]\n [--output_file OUTPUT_FILE]\n\n options:\n -h, --help show this help message and exit\n --entity ENTITY Entity for the WANDB runs. If not provided,\n attempts to fetch from environment variable\n 'WANDB_ENTITY'.\n --project PROJECT Project for the WANDB runs. If not provided,\n attempts to fetch from environment variable\n 'WANDB_PROJECT'.\n --output_file OUTPUT_FILE Path to save the output CSV. Default name format:\n {entity}-{project}-{mmddyy}.csv\n\n``` python\n!wandbtocsv --entity hamelsmu --project deepspeed-data\n```\n\n Fetching runs... \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 100% 0:00:00% 0:00:01[36m0:00:03\n Saved 480 runs to hamelsmu-deepspeed-data-100823.csv\n\n## Bonus, explore your wandb runs in [Datasette](https://datasette.io/)\n\n``` bash\ncsvs-to-sqlite hamelsmu-deepspeed-data-100823.csv hamelsmu-deepspeed-data-100823.db\ndatasette hamelsmu-deepspeed-data-100823.db -o\n```\n",
"bugtrack_url": null,
"license": "Apache Software License 2.0",
"summary": "Export summary metrics and config from runs as a csv file from a project",
"version": "0.0.6",
"project_urls": {
"Homepage": "https://github.com/hamelsmu/wandbtocsv"
},
"split_keywords": [
"nbdev",
"jupyter",
"notebook",
"python"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "26eb023887afe4b721be0cd9c9847795be356d9aca6639f182f23c3bf167e9c8",
"md5": "2b089d66d1d8d2bfc13ee2ff7a7b0abe",
"sha256": "40672b9ff27b86c22d493f3311d08f25bc2895c83411d2acfe5a0a6c72634ca3"
},
"downloads": -1,
"filename": "wandbtocsv-0.0.6-py3-none-any.whl",
"has_sig": false,
"md5_digest": "2b089d66d1d8d2bfc13ee2ff7a7b0abe",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 8443,
"upload_time": "2023-10-09T05:11:06",
"upload_time_iso_8601": "2023-10-09T05:11:06.787346Z",
"url": "https://files.pythonhosted.org/packages/26/eb/023887afe4b721be0cd9c9847795be356d9aca6639f182f23c3bf167e9c8/wandbtocsv-0.0.6-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5a7a0572af776c82895e819e1f843bcfe24f21f64996cf77fb1fbee8a1c4117b",
"md5": "6d5e11e51f91aa022bb820b85a5652b1",
"sha256": "e7d1f3615c1b3acf1c1580bb8b52eb898fa91c2580ca9b1ace67fc4608eeff27"
},
"downloads": -1,
"filename": "wandbtocsv-0.0.6.tar.gz",
"has_sig": false,
"md5_digest": "6d5e11e51f91aa022bb820b85a5652b1",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 8847,
"upload_time": "2023-10-09T05:11:08",
"upload_time_iso_8601": "2023-10-09T05:11:08.668292Z",
"url": "https://files.pythonhosted.org/packages/5a/7a/0572af776c82895e819e1f843bcfe24f21f64996cf77fb1fbee8a1c4117b/wandbtocsv-0.0.6.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-10-09 05:11:08",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "hamelsmu",
"github_project": "wandbtocsv",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "wandbtocsv"
}
JSON
