Name | vizkit JSON |
Version |
0.0.2
JSON |
| download |
home_page | None |
Summary | None |
upload_time | 2024-09-26 09:33:40 |
maintainer | None |
docs_url | None |
author | Wenyu Zhao |
requires_python | <4.0,>=3.12 |
license | MIT |
keywords |
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# vizkit
Data plotting and visualization platform.
## Getting Started
1. `pipx install vizkit`
2. Create a data folder: `mkdir vizkit-example && cd vizkit-example`
3. Put some .csv files into the data folder, for example [this one](https://gist.github.com/wenyuzhao/ec38429b9e176ae922ef70009a553a95).
4. Run `vizkit` to start the server.
* [Example link](http://localhost:8501/?px=eNptjzsOwjAQRO8ytcUB0tGl4gLIQsZabIN_8idKFOXubEAgCsqdp3maXZFLupNuGGL3XsDF3FvFcAbNKmRPB10nSIGrT_qxgxVtyYQBOvkeYoVA1RRVcenyibh-UoH23qR8p19wNMSVkZyxDXITX58pKltGt1SC4kEYXW2J08DhzPdLKbD80QjYTu8fNrk9AfBAR94%3D).
## Local server with [running-ng](https://anupli.github.io/running-ng/) logs
Run `vizkit --running-ng /path/to/running-ng/logs`
## Generate Reports Using the [Harness](https://github.com/wenyuzhao/harness) Bench Tool
Running a benchmark with the `--upload` flag will automatically upload the results data to [r.harness.rs](https://r.harness.rs).
Example: `harness run --upload`.
## Generate Reports Using [running-ng](https://github.com/anupli/running-ng)
WIP...
Raw data
{
"_id": null,
"home_page": null,
"name": "vizkit",
"maintainer": null,
"docs_url": null,
"requires_python": "<4.0,>=3.12",
"maintainer_email": null,
"keywords": null,
"author": "Wenyu Zhao",
"author_email": "wenyuzhaox@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/3f/d4/d444b0200748e3beed36c17e542058303b733885d832a8a0401e22b106c7/vizkit-0.0.2.tar.gz",
"platform": null,
"description": "# vizkit\n\nData plotting and visualization platform.\n\n## Getting Started\n\n1. `pipx install vizkit`\n2. Create a data folder: `mkdir vizkit-example && cd vizkit-example`\n3. Put some .csv files into the data folder, for example [this one](https://gist.github.com/wenyuzhao/ec38429b9e176ae922ef70009a553a95).\n4. Run `vizkit` to start the server.\n * [Example link](http://localhost:8501/?px=eNptjzsOwjAQRO8ytcUB0tGl4gLIQsZabIN_8idKFOXubEAgCsqdp3maXZFLupNuGGL3XsDF3FvFcAbNKmRPB10nSIGrT_qxgxVtyYQBOvkeYoVA1RRVcenyibh-UoH23qR8p19wNMSVkZyxDXITX58pKltGt1SC4kEYXW2J08DhzPdLKbD80QjYTu8fNrk9AfBAR94%3D).\n\n## Local server with [running-ng](https://anupli.github.io/running-ng/) logs\n\nRun `vizkit --running-ng /path/to/running-ng/logs`\n\n## Generate Reports Using the [Harness](https://github.com/wenyuzhao/harness) Bench Tool\n\nRunning a benchmark with the `--upload` flag will automatically upload the results data to [r.harness.rs](https://r.harness.rs).\n\nExample: `harness run --upload`.\n\n## Generate Reports Using [running-ng](https://github.com/anupli/running-ng)\n\nWIP...\n",
"bugtrack_url": null,
"license": "MIT",
"summary": null,
"version": "0.0.2",
"project_urls": null,
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "5ffe6a74a44b70b2a5f215a9a7e90997b71bd96c4330ead51fd0d415a21f298e",
"md5": "41e52fcb5965461ab3471ea44295e759",
"sha256": "8c3fbe349815e7585b8b8b6e2850f8ae14f8954d0386ce5b4aee2623e67f6b44"
},
"downloads": -1,
"filename": "vizkit-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "41e52fcb5965461ab3471ea44295e759",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.12",
"size": 36846,
"upload_time": "2024-09-26T09:33:39",
"upload_time_iso_8601": "2024-09-26T09:33:39.525730Z",
"url": "https://files.pythonhosted.org/packages/5f/fe/6a74a44b70b2a5f215a9a7e90997b71bd96c4330ead51fd0d415a21f298e/vizkit-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "3fd4d444b0200748e3beed36c17e542058303b733885d832a8a0401e22b106c7",
"md5": "3db99d3e86a9112729fa672343cd6b6c",
"sha256": "d33d1e6a847751e6af81406cd758ab532251d39e341772ef0d3bd0f2951be3ef"
},
"downloads": -1,
"filename": "vizkit-0.0.2.tar.gz",
"has_sig": false,
"md5_digest": "3db99d3e86a9112729fa672343cd6b6c",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.12",
"size": 28135,
"upload_time": "2024-09-26T09:33:40",
"upload_time_iso_8601": "2024-09-26T09:33:40.784027Z",
"url": "https://files.pythonhosted.org/packages/3f/d4/d444b0200748e3beed36c17e542058303b733885d832a8a0401e22b106c7/vizkit-0.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-09-26 09:33:40",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "vizkit"
}