| Name | FastTrackML JSON |
| Version |
0.5.1
JSON |
| download |
| home_page | None |
| Summary | An experiment tracking server focused on speed and scalability |
| upload_time | 2024-04-05 09:53:22 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.6 |
| license | Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. |
| keywords |
ai
apache-spark
data-science
data-visualization
experiment-tracking
machine-learning
metadata-tracking
metadata
metrics
ml
mlflow-tracking-server
mlflow
mlops
pytorch
tensorboard
tensorflow
visualization
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://fasttrackml.io/)
# _FastTrackML_
An experiment tracking server focused on speed and scalability, fully compatible
with MLFlow.
### Quickstart
#### Run the tracking server
> [!NOTE]
> For the full guide, see our [quickstart guide](https://github.com/G-Research/fasttrackml/blob/main/docs/quickstart.md).
FastTrackML can be installed and run with `pip`:
```bash
pip install fasttrackml
fml server
```
Alternatively, you can run it within a container with
[Docker](https://docs.docker.com/get-docker/):
```bash
docker run --rm -p 5000:5000 -ti gresearch/fasttrackml
```
Verify that you can see the UI by navigating to http://localhost:5000/.
For more info, `--help` is your friend!
#### Track your experiments
Install the MLFlow Python package:
```bash
pip install mlflow-skinny
```
Here is an elementary example Python script:
```python
import mlflow
import random
# Set the tracking URI to the FastTrackML server
mlflow.set_tracking_uri("http://localhost:5000")
# Set the experiment name
mlflow.set_experiment("my-first-experiment")
# Start a new run
with mlflow.start_run():
# Log a parameter
mlflow.log_param("param1", random.randint(0, 100))
# Log a metric
mlflow.log_metric("foo", random.random())
# metrics can be updated throughout the run
mlflow.log_metric("foo", random.random() + 1)
mlflow.log_metric("foo", random.random() + 2)
```
### Developer
FastTrackML can be built and tested within a
[dev container](https://containers.dev). This is the recommended way as the
whole environment comes preconfigured with all the dependencies (Go SDK,
Postgres, Minio, etc.) and settings (formatting, linting, extensions, etc.) to
get started instantly.
#### GitHub Codespaces
If you have a GitHub account, you can simply open FastTrackML in a new GitHub
Codespace by clicking on the green "Code" button at the top of this page.
You can build, run, and attach the debugger by simply pressing F5. The unit
tests can be run from the Test Explorer on the left. There are also many targets
within the `Makefile` that can be used (e.g. `build`, `run`, `test-go-unit`).
#### Visual Studio Code
If you want to work locally in
[Visual Studio Code](https://code.visualstudio.com), all you need is to have
[Docker](https://docs.docker.com/get-docker/) and the
[Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
installed.
Simply open up your copy of FastTrackML in VS Code and click "Reopen in
container" when prompted. Once the project has been opened, you can follow the
GitHub Codespaces instructions above.
> [!IMPORTANT]
> Note that on MacOS, port 5000 is already occupied, so some
[adjustments](https://apple.stackexchange.com/a/431164) are necessary.
#### CLI
If the CLI is how you roll, then you can install the
[Dev Container CLI](https://github.com/devcontainers/cli) tool and follow the
instruction below.
<details>
<summary>CLI instructions</summary>
> [!WARNING]
> This setup is not recommended or supported. Here be dragons!
You will need to edit the `.devcontainer/docker-compose.yml` file and uncomment
the `services.db.ports` section to expose the ports to the host. You will also
need to add `FML_LISTEN_ADDRESS=:5000` to `.devcontainer/.env`.
You can then issue the following command in your copy of FastTrackML to get up
and running:
```bash
devcontainer up
```
Assuming you cloned the repo into a directory named `fasttrackml` and did not
fiddle with the dev container config, you can enter the dev container with:
```bash
docker compose --project-name fasttrackml_devcontainer exec --user vscode --workdir /workspaces/fasttrackml app zsh
```
If any of these is not true, here is how to render a command tailored to your
setup (it requires [`jq`](https://jqlang.github.io/jq/download/) to be
installed):
```bash
devcontainer up | tail -n1 | jq -r '"docker compose --project-name \(.composeProjectName) exec --user \(.remoteUser) --workdir \(.remoteWorkspaceFolder) app zsh"'
```
Once in the dev container, use your favorite text editor and `Makefile` targets:
```bash
vscode ➜ /workspaces/fasttrackml (main) $ vi main.go
vscode ➜ /workspaces/fasttrackml (main) $ emacs .
vscode ➜ /workspaces/fasttrackml (main) $ make run
```
</details>
### License
Copyright 2022-2023 G-Research
Copyright 2019-2022 Aimhub, Inc.
Copyright 2018 Databricks, Inc.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use
these files except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
Raw data
{
"_id": null,
"home_page": null,
"name": "FastTrackML",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": null,
"keywords": "ai, apache-spark, data-science, data-visualization, experiment-tracking, machine-learning, metadata-tracking, metadata, metrics, ml, mlflow-tracking-server, mlflow, mlops, pytorch, tensorboard, tensorflow, visualization",
"author": null,
"author_email": null,
"download_url": null,
"platform": null,
"description": "[](https://fasttrackml.io/)\n\n# _FastTrackML_\n\nAn experiment tracking server focused on speed and scalability, fully compatible\nwith MLFlow.\n\n### Quickstart\n\n#### Run the tracking server\n\n> [!NOTE]\n> For the full guide, see our [quickstart guide](https://github.com/G-Research/fasttrackml/blob/main/docs/quickstart.md).\n\nFastTrackML can be installed and run with `pip`:\n\n```bash\npip install fasttrackml\nfml server\n```\n\nAlternatively, you can run it within a container with\n[Docker](https://docs.docker.com/get-docker/):\n\n```bash\ndocker run --rm -p 5000:5000 -ti gresearch/fasttrackml\n```\n\nVerify that you can see the UI by navigating to http://localhost:5000/.\n\n\n\nFor more info, `--help` is your friend!\n\n#### Track your experiments\n\nInstall the MLFlow Python package:\n\n```bash\npip install mlflow-skinny\n```\n\nHere is an elementary example Python script:\n\n```python\nimport mlflow\nimport random\n\n# Set the tracking URI to the FastTrackML server\nmlflow.set_tracking_uri(\"http://localhost:5000\")\n# Set the experiment name\nmlflow.set_experiment(\"my-first-experiment\")\n\n# Start a new run\nwith mlflow.start_run():\n # Log a parameter\n mlflow.log_param(\"param1\", random.randint(0, 100))\n\n # Log a metric\n mlflow.log_metric(\"foo\", random.random())\n # metrics can be updated throughout the run\n mlflow.log_metric(\"foo\", random.random() + 1)\n mlflow.log_metric(\"foo\", random.random() + 2)\n```\n\n### Developer\n\nFastTrackML can be built and tested within a\n[dev container](https://containers.dev). This is the recommended way as the\nwhole environment comes preconfigured with all the dependencies (Go SDK,\nPostgres, Minio, etc.) and settings (formatting, linting, extensions, etc.) to\nget started instantly.\n\n#### GitHub Codespaces\n\nIf you have a GitHub account, you can simply open FastTrackML in a new GitHub\nCodespace by clicking on the green \"Code\" button at the top of this page.\n\nYou can build, run, and attach the debugger by simply pressing F5. The unit\ntests can be run from the Test Explorer on the left. There are also many targets\nwithin the `Makefile` that can be used (e.g. `build`, `run`, `test-go-unit`).\n\n#### Visual Studio Code\n\nIf you want to work locally in\n[Visual Studio Code](https://code.visualstudio.com), all you need is to have\n[Docker](https://docs.docker.com/get-docker/) and the\n[Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)\ninstalled.\n\nSimply open up your copy of FastTrackML in VS Code and click \"Reopen in\ncontainer\" when prompted. Once the project has been opened, you can follow the\nGitHub Codespaces instructions above.\n\n> [!IMPORTANT]\n> Note that on MacOS, port 5000 is already occupied, so some\n[adjustments](https://apple.stackexchange.com/a/431164) are necessary.\n\n#### CLI\n\nIf the CLI is how you roll, then you can install the\n[Dev Container CLI](https://github.com/devcontainers/cli) tool and follow the\ninstruction below.\n\n<details>\n<summary>CLI instructions</summary>\n\n> [!WARNING]\n> This setup is not recommended or supported. Here be dragons!\n\nYou will need to edit the `.devcontainer/docker-compose.yml` file and uncomment\nthe `services.db.ports` section to expose the ports to the host. You will also\nneed to add `FML_LISTEN_ADDRESS=:5000` to `.devcontainer/.env`.\n\nYou can then issue the following command in your copy of FastTrackML to get up\nand running:\n\n```bash\ndevcontainer up\n```\n\nAssuming you cloned the repo into a directory named `fasttrackml` and did not\nfiddle with the dev container config, you can enter the dev container with:\n\n```bash\ndocker compose --project-name fasttrackml_devcontainer exec --user vscode --workdir /workspaces/fasttrackml app zsh\n```\n\nIf any of these is not true, here is how to render a command tailored to your\nsetup (it requires [`jq`](https://jqlang.github.io/jq/download/) to be\ninstalled):\n\n```bash\ndevcontainer up | tail -n1 | jq -r '\"docker compose --project-name \\(.composeProjectName) exec --user \\(.remoteUser) --workdir \\(.remoteWorkspaceFolder) app zsh\"'\n```\n\nOnce in the dev container, use your favorite text editor and `Makefile` targets:\n\n```bash\nvscode \u279c /workspaces/fasttrackml (main) $ vi main.go\nvscode \u279c /workspaces/fasttrackml (main) $ emacs .\nvscode \u279c /workspaces/fasttrackml (main) $ make run\n```\n</details>\n\n### License\n\nCopyright 2022-2023 G-Research\n\nCopyright 2019-2022 Aimhub, Inc.\n\nCopyright 2018 Databricks, Inc.\n\nLicensed under the Apache License, Version 2.0 (the \"License\"); you may not use\nthese files except in compliance with the License.\nYou may obtain a copy of the License at\n\nhttp://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
"bugtrack_url": null,
"license": "Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License. \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, \"submitted\" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as \"Not a Contribution.\" \"Contributor\" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a \"NOTICE\" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets \"[]\" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same \"printed page\" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ",
"summary": "An experiment tracking server focused on speed and scalability",
"version": "0.5.1",
"project_urls": {
"Changelog": "https://github.com/G-Research/fasttrackml/releases",
"Homepage": "https://fasttrackml.io/",
"Repository": "https://github.com/G-Research/fasttrackml"
},
"split_keywords": [
"ai",
" apache-spark",
" data-science",
" data-visualization",
" experiment-tracking",
" machine-learning",
" metadata-tracking",
" metadata",
" metrics",
" ml",
" mlflow-tracking-server",
" mlflow",
" mlops",
" pytorch",
" tensorboard",
" tensorflow",
" visualization"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "df4dfd35ecc0fdfa5ce37fdea0da8fd859d834c9eef6657f1f5860052d7f4fbf",
"md5": "427483bbbf488855378025a7c40349cc",
"sha256": "e54ba2604c9f9655804d2fc2e16081af77f91e6194562313a23efe73748b1a0d"
},
"downloads": -1,
"filename": "FastTrackML-0.5.1-py3-none-macosx_10_13_x86_64.whl",
"has_sig": false,
"md5_digest": "427483bbbf488855378025a7c40349cc",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 23858958,
"upload_time": "2024-04-05T09:53:22",
"upload_time_iso_8601": "2024-04-05T09:53:22.999459Z",
"url": "https://files.pythonhosted.org/packages/df/4d/fd35ecc0fdfa5ce37fdea0da8fd859d834c9eef6657f1f5860052d7f4fbf/FastTrackML-0.5.1-py3-none-macosx_10_13_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "45b56c65677e828d0e9b7a53f76c1e4e4cb482f07bdf3baac1480eaf092186d3",
"md5": "adb41d73acad4a8d0565e2181ba02530",
"sha256": "676498b313db9828f32351db67f57e486c514fa22ec81a42e42bc6ab3b0f4fc8"
},
"downloads": -1,
"filename": "FastTrackML-0.5.1-py3-none-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "adb41d73acad4a8d0565e2181ba02530",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 23279387,
"upload_time": "2024-04-05T09:53:25",
"upload_time_iso_8601": "2024-04-05T09:53:25.661591Z",
"url": "https://files.pythonhosted.org/packages/45/b5/6c65677e828d0e9b7a53f76c1e4e4cb482f07bdf3baac1480eaf092186d3/FastTrackML-0.5.1-py3-none-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5d11d8e0170db14ed12fdb5305755a388e1370c593cc21d12dd5e66a6803220c",
"md5": "b2b83364164c79af1bf9ec7bfd53acef",
"sha256": "c204cabe717c672db1f2e3e673342f0e8119f036f44c4b232594096b436450f2"
},
"downloads": -1,
"filename": "FastTrackML-0.5.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.musllinux_1_1_aarch64.whl",
"has_sig": false,
"md5_digest": "b2b83364164c79af1bf9ec7bfd53acef",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 22378868,
"upload_time": "2024-04-05T09:53:28",
"upload_time_iso_8601": "2024-04-05T09:53:28.277138Z",
"url": "https://files.pythonhosted.org/packages/5d/11/d8e0170db14ed12fdb5305755a388e1370c593cc21d12dd5e66a6803220c/FastTrackML-0.5.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.musllinux_1_1_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "9be74fa61ebcc130744b4e1086c5b4e2f0743e619f86e5642b0fc457c2211231",
"md5": "93704e79465d2e45592effcd3450880f",
"sha256": "5251f48b8e4439a007247d88c4a1a28450e2125349bff9bb73477146a579f690"
},
"downloads": -1,
"filename": "FastTrackML-0.5.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.musllinux_1_1_x86_64.whl",
"has_sig": false,
"md5_digest": "93704e79465d2e45592effcd3450880f",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 23678350,
"upload_time": "2024-04-05T09:53:30",
"upload_time_iso_8601": "2024-04-05T09:53:30.793147Z",
"url": "https://files.pythonhosted.org/packages/9b/e7/4fa61ebcc130744b4e1086c5b4e2f0743e619f86e5642b0fc457c2211231/FastTrackML-0.5.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.musllinux_1_1_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "0689f64a638521f858e7ee7233f6ddb9125810cf0b394d10caeec31069f153c4",
"md5": "3e2e99e492caef20e413c840828b3b2f",
"sha256": "ab8831eb3767bf1db8b98fd3134e65118bf0dcffe49ff5f9636149983a0fc9b4"
},
"downloads": -1,
"filename": "FastTrackML-0.5.1-py3-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "3e2e99e492caef20e413c840828b3b2f",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 23391383,
"upload_time": "2024-04-05T09:53:33",
"upload_time_iso_8601": "2024-04-05T09:53:33.847770Z",
"url": "https://files.pythonhosted.org/packages/06/89/f64a638521f858e7ee7233f6ddb9125810cf0b394d10caeec31069f153c4/FastTrackML-0.5.1-py3-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-05 09:53:22",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "G-Research",
"github_project": "fasttrackml",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "fasttrackml"
}
