![Neptune and TensorFlow logos](https://neptune.ai/wp-content/uploads/2023/09/tensorboard_tensorflow.svg)
# Neptune-TensorBoard integration
Log TensorBoard-tracked metadata to neptune.ai.
## What will you get with this integration?
* Log, organize, visualize, and compare ML experiments in a single place
* Monitor model training live
* Version and query production-ready models and associated metadata (e.g. datasets)
* Collaborate with the team and across the organization
## What will be logged to Neptune?
* Model summary and predictions
* Training code and Git information
* System metrics and hardware consumption
You can also log:
* Existing TensorBoard logs
* [Other metadata](https://docs.neptune.ai/logging/what_you_can_log)
![Dashboard with TensorBoard metadata](https://docs.neptune.ai/img/app/integrations/tensorboard.png)
## Resources
* [Documentation](https://docs.neptune.ai/integrations/tensorboard/)
* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/tensorboard)
* [Example project in the Neptune app](https://app.neptune.ai/o/common/org/tensorboard-integration/runs/details?viewId=standard-view&detailsTab=dashboard&dashboardId=99830fca-15f8-4431-baea-808ae13c0120&shortId=TBOARD-880&type=run)
## Example
Install Neptune and the integration:
```sh
pip install -U "neptune[tensorboard]"
```
Enable Neptune logging:
```python
import neptune
from neptune_tensorboard import enable_tensorboard_logging
neptune_run = neptune.init_run(
project="workspace-name/project-name", # replace with your own
tags = ["tensorboard", "test"], # optional
dependencies="infer", # optional
)
enable_tensorboard_logging(neptune_run)
```
Export existing TensorBoard logs:
```sh
neptune tensorboard --api_token YourNeptuneApiToken --project YourNeptuneProjectName logs
```
## Support
If you got stuck or simply want to talk to us, here are your options:
* Check our [FAQ page](https://docs.neptune.ai/getting_help).
* You can submit bug reports, feature requests, or contributions directly to the repository.
* Chat! In the Neptune app, click the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP).
* You can just shoot us an email at [support@neptune.ai](mailto:support@neptune.ai).
Raw data
{
"_id": null,
"home_page": "https://neptune.ai/",
"name": "neptune-tensorboard",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7,<4.0",
"maintainer_email": "",
"keywords": "MLOps,ML Experiment Tracking,ML Model Registry,ML Model Store,ML Metadata Store",
"author": "neptune.ai",
"author_email": "contact@neptune.ai",
"download_url": "https://files.pythonhosted.org/packages/95/1b/6189fa0e495167ef3087e7eac69a3cc57b16cfb4c3d7d88914d9189f5c5a/neptune_tensorboard-1.0.3.tar.gz",
"platform": null,
"description": "![Neptune and TensorFlow logos](https://neptune.ai/wp-content/uploads/2023/09/tensorboard_tensorflow.svg)\n\n# Neptune-TensorBoard integration\n\nLog TensorBoard-tracked metadata to neptune.ai.\n\n## What will you get with this integration?\n\n* Log, organize, visualize, and compare ML experiments in a single place\n* Monitor model training live\n* Version and query production-ready models and associated metadata (e.g. datasets)\n* Collaborate with the team and across the organization\n\n## What will be logged to Neptune?\n\n* Model summary and predictions\n* Training code and Git information\n* System metrics and hardware consumption\n\nYou can also log:\n\n* Existing TensorBoard logs\n* [Other metadata](https://docs.neptune.ai/logging/what_you_can_log)\n\n![Dashboard with TensorBoard metadata](https://docs.neptune.ai/img/app/integrations/tensorboard.png)\n\n## Resources\n\n* [Documentation](https://docs.neptune.ai/integrations/tensorboard/)\n* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/tensorboard)\n* [Example project in the Neptune app](https://app.neptune.ai/o/common/org/tensorboard-integration/runs/details?viewId=standard-view&detailsTab=dashboard&dashboardId=99830fca-15f8-4431-baea-808ae13c0120&shortId=TBOARD-880&type=run)\n\n## Example\n\nInstall Neptune and the integration:\n\n```sh\npip install -U \"neptune[tensorboard]\"\n```\n\nEnable Neptune logging:\n\n```python\nimport neptune\nfrom neptune_tensorboard import enable_tensorboard_logging\n\nneptune_run = neptune.init_run(\n project=\"workspace-name/project-name\", # replace with your own\n tags = [\"tensorboard\", \"test\"], # optional\n dependencies=\"infer\", # optional\n)\n\nenable_tensorboard_logging(neptune_run)\n```\n\nExport existing TensorBoard logs:\n\n```sh\nneptune tensorboard --api_token YourNeptuneApiToken --project YourNeptuneProjectName logs\n```\n\n## Support\n\nIf you got stuck or simply want to talk to us, here are your options:\n\n* Check our [FAQ page](https://docs.neptune.ai/getting_help).\n* You can submit bug reports, feature requests, or contributions directly to the repository.\n* Chat! In the Neptune app, click the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP).\n* You can just shoot us an email at [support@neptune.ai](mailto:support@neptune.ai).\n\n",
"bugtrack_url": null,
"license": "Apache-2.0",
"summary": "Neptune.ai Tensorboard integration library",
"version": "1.0.3",
"project_urls": {
"Documentation": "https://docs.neptune.ai/integrations-and-supported-tools/model-training/tensorboard",
"Homepage": "https://neptune.ai/",
"Repository": "https://github.com/neptune-ai/neptune-tensorboard",
"Tracker": "https://github.com/neptune-ai/neptune-tensorboard/issues"
},
"split_keywords": [
"mlops",
"ml experiment tracking",
"ml model registry",
"ml model store",
"ml metadata store"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "f9be7abaf4c13ddefb9bacb0e7320e66583f29bca376f781452dcc3c1a7dfd2d",
"md5": "5811250b9a68290f8ef10dbeff1a0266",
"sha256": "305b67202d3cfa3046e494e83e8c5afad5ec1f019ab64f9fab9c578be0b7d816"
},
"downloads": -1,
"filename": "neptune_tensorboard-1.0.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "5811250b9a68290f8ef10dbeff1a0266",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7,<4.0",
"size": 18068,
"upload_time": "2024-03-05T09:39:57",
"upload_time_iso_8601": "2024-03-05T09:39:57.154086Z",
"url": "https://files.pythonhosted.org/packages/f9/be/7abaf4c13ddefb9bacb0e7320e66583f29bca376f781452dcc3c1a7dfd2d/neptune_tensorboard-1.0.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "951b6189fa0e495167ef3087e7eac69a3cc57b16cfb4c3d7d88914d9189f5c5a",
"md5": "6e7eecddcbb7c496dd72645aba608fd9",
"sha256": "0257162541b64e87c57e70acc1af33f5ad2a0b1a9369b2c2199a3ef64c4be951"
},
"downloads": -1,
"filename": "neptune_tensorboard-1.0.3.tar.gz",
"has_sig": false,
"md5_digest": "6e7eecddcbb7c496dd72645aba608fd9",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7,<4.0",
"size": 13779,
"upload_time": "2024-03-05T09:39:58",
"upload_time_iso_8601": "2024-03-05T09:39:58.472724Z",
"url": "https://files.pythonhosted.org/packages/95/1b/6189fa0e495167ef3087e7eac69a3cc57b16cfb4c3d7d88914d9189f5c5a/neptune_tensorboard-1.0.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-03-05 09:39:58",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "neptune-ai",
"github_project": "neptune-tensorboard",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "neptune-tensorboard"
}