| Name | xiplot JSON |
| Version |
0.4.1
JSON |
| download |
| home_page | |
| Summary | Interactive data visualization tool |
| upload_time | 2023-10-12 10:17:38 |
| maintainer | |
| docs_url | None |
| author | Anton Björklund, Jarmo Mäkelä |
| requires_python | >=3.7 |
| license | MIT License Copyright (c) 2022, Akihiro Tanaka and Juniper Tyree Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
visalisation
virtual laboratory
exploratory data analysis
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
dash
dash-extensions
dash-mantine-components
dash-uploader
jsonschema
pandas
plotly
scikit-learn
kaleido
packaging
Werkzeug
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# χiplot
χiplot, pronounced like "kaiplot"[^1], is a web-first visualisation platform for multidimensional data, implemented in the `xiplot` Python package.
[^1]: Pronouncing χiplot like "xaiplot" is also recognised.
## Description
χiplot is built on top of the [`dash`](https://github.com/plotly/dash) framework. The goal of the χiplot is to explore new insights from the collected data and to make data exploring user-friendly and intuitive.
χiplot can be used without installation with the [WASM-based browser version](https://edahelsinki.fi/xiplot).
You can find more details in the [user guide](docs/user_guide/README.md) and in the paper:
> Tanaka, A., Tyree, J., Björklund, A., Mäkelä, J., Puolamäki, K. (2023).
> __χiplot: Web-First Visualisation Platform for Multidimensional Data.__
> Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, Lecture Notes in Computer Science, pp. 335-339. [DOI: 10.1007/978-3-031-43430-3_26](https://doi.org/10.1007/978-3-031-43430-3_26)
For a quick demonstration, see [the video](https://helsinkifi-my.sharepoint.com/:v:/g/personal/tanakaki_ad_helsinki_fi/EcIIGy0bfP5FlW-0Lr4AMEYBbKoyuo6u7px3zu_K5Vk4xw?e=TPGGf8&nav=eyJyZWZlcnJhbEluZm8iOnsicmVmZXJyYWxBcHAiOiJTdHJlYW1XZWJBcHAiLCJyZWZlcnJhbFZpZXciOiJTaGFyZURpYWxvZyIsInJlZmVycmFsQXBwUGxhdGZvcm0iOiJXZWIiLCJyZWZlcnJhbE1vZGUiOiJ2aWV3In19) or try the [WASM version](https://edahelsinki.fi/xiplot).
## Screenshot
## Installation free
You can try out the installation free WASM version of χiplot at [edahelsinki.fi/xiplot](https://edahelsinki.fi/xiplot). Note that all data processing happens locally in **your** browser nothing is sent to a server.
Please refer to the [wasm](https://github.com/edahelsinki/xiplot/tree/wasm#readme) branch for more information on how the WASM version is implemented
## Installation
χiplot can also be installed locally with: `pip install xiplot`.
To start the local server run `xiplot` in a terminal (with same Python environment venv/conda/... in the PATH).
Or to use the latest, in-development, version clone this repository.
To install the dependencies run `pip install -e .` or `pip install -r requirements.txt`.
To start the local server run `python -m xiplot`.
For more options run `xiplot --help`.
## Funding
The `xiplot` application was created by [Akihiro Tanaka](https://github.com/TanakaAkihiro) and [Juniper Tyree](https://github.com/juntyr) as part of their summer internships in Kai Puolamäki's [Exploratory Data Analysis group](https://github.com/edahelsinki) at the University of Helsinki.
Akihiro's internpship was paid for by the Academy of Finland (decision 346376) with funding associated with the VILMA Centre of Excellence. Juniper's internship was paid for by "Future Makers Funding Program 2018 of the Technology Industries of Finland Centennial Foundation, and the Jane and Aatos Erkko Foundation", with funding associated with the Atmospheric AI programme of the Finnish Center for Artificial Intelligence.
## License
The `main` branch of the `xiplot` repository is licensed under the MIT License ([`LICENSE-MIT`](LICENSE-MIT) or http://opensource.org/licenses/MIT).
## Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you shall be licensed as described above, without any additional terms or conditions.
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"description": "# χiplot\n\nχiplot, pronounced like \"kaiplot\"[^1], is a web-first visualisation platform for multidimensional data, implemented in the `xiplot` Python package.\n\n[^1]: Pronouncing χiplot like \"xaiplot\" is also recognised.\n\n## Description\n\nχiplot is built on top of the [`dash`](https://github.com/plotly/dash) framework. The goal of the χiplot is to explore new insights from the collected data and to make data exploring user-friendly and intuitive.\nχiplot can be used without installation with the [WASM-based browser version](https://edahelsinki.fi/xiplot).\n\nYou can find more details in the [user guide](docs/user_guide/README.md) and in the paper:\n\n> Tanaka, A., Tyree, J., Bj\u00f6rklund, A., M\u00e4kel\u00e4, J., Puolam\u00e4ki, K. (2023). \n> __χiplot: Web-First Visualisation Platform for Multidimensional Data.__ \n> Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, Lecture Notes in Computer Science, pp. 335-339. [DOI: 10.1007/978-3-031-43430-3_26](https://doi.org/10.1007/978-3-031-43430-3_26)\n\nFor a quick demonstration, see [the video](https://helsinkifi-my.sharepoint.com/:v:/g/personal/tanakaki_ad_helsinki_fi/EcIIGy0bfP5FlW-0Lr4AMEYBbKoyuo6u7px3zu_K5Vk4xw?e=TPGGf8&nav=eyJyZWZlcnJhbEluZm8iOnsicmVmZXJyYWxBcHAiOiJTdHJlYW1XZWJBcHAiLCJyZWZlcnJhbFZpZXciOiJTaGFyZURpYWxvZyIsInJlZmVycmFsQXBwUGxhdGZvcm0iOiJXZWIiLCJyZWZlcnJhbE1vZGUiOiJ2aWV3In19) or try the [WASM version](https://edahelsinki.fi/xiplot).\n\n## Screenshot\n\n\n\n\n## Installation free\n\nYou can try out the installation free WASM version of χiplot at [edahelsinki.fi/xiplot](https://edahelsinki.fi/xiplot). Note that all data processing happens locally in **your** browser nothing is sent to a server.\n\nPlease refer to the [wasm](https://github.com/edahelsinki/xiplot/tree/wasm#readme) branch for more information on how the WASM version is implemented\n\n## Installation\n\nχiplot can also be installed locally with: `pip install xiplot`.\nTo start the local server run `xiplot` in a terminal (with same Python environment venv/conda/... in the PATH).\n\nOr to use the latest, in-development, version clone this repository.\nTo install the dependencies run `pip install -e .` or `pip install -r requirements.txt`.\nTo start the local server run `python -m xiplot`.\n\nFor more options run `xiplot --help`.\n\n## Funding\n\nThe `xiplot` application was created by [Akihiro Tanaka](https://github.com/TanakaAkihiro) and [Juniper Tyree](https://github.com/juntyr) as part of their summer internships in Kai Puolam\u00e4ki's [Exploratory Data Analysis group](https://github.com/edahelsinki) at the University of Helsinki.\n\nAkihiro's internpship was paid for by the Academy of Finland (decision 346376) with funding associated with the VILMA Centre of Excellence. Juniper's internship was paid for by \"Future Makers Funding Program 2018 of the Technology Industries of Finland Centennial Foundation, and the Jane and Aatos Erkko Foundation\", with funding associated with the Atmospheric AI programme of the Finnish Center for Artificial Intelligence.\n\n## License\n\nThe `main` branch of the `xiplot` repository is licensed under the MIT License ([`LICENSE-MIT`](LICENSE-MIT) or http://opensource.org/licenses/MIT).\n\n## Contribution\n\nUnless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you shall be licensed as described above, without any additional terms or conditions.\n",
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