xiplot

Web-first Visualisation platform for Multidimensional Data

https://github.com/edahelsinki/xiplot

Science Score: 44.0%

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    Low similarity (15.2%) to scientific vocabulary

Keywords

brushing dash molecular multidimensional plot plotly python visualization
Last synced: 4 months ago · JSON representation ·

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Web-first Visualisation platform for Multidimensional Data

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  • Open Issues: 1
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brushing dash molecular multidimensional plot plotly python visualization
Created over 3 years ago · Last pushed 9 months ago
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README.md

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 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.

You can find more details in the user guide 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

For a quick demonstration, see the video or try the WASM version.

Screenshot

Screenshot of xiplot Screenshot of xiplot

Installation free

You can try out the installation free WASM version of χiplot at edahelsinki.fi/xiplot. Note that all data processing happens locally in your browser nothing is sent to a server.

Please refer to the wasm 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 and Juniper Tyree as part of their summer internships in Kai Puolamäki's Exploratory Data Analysis group 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 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.

Owner

  • Name: EDA Helsinki
  • Login: edahelsinki
  • Kind: organization

The Exploratory Data Analysis group, lead by Associate Professor Kai Puolamäki, is located at University of Helsinki (CS and INAR)

Citation (CITATIONS.bib)

@inproceedings{tanaka2023xiplot,
  title      = {$\chi$iplot: Web-First Visualisation Platform for Multidimensional Data},
  shorttitle = {$\chi$iplot},
  booktitle  = {Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track},
  author     = {Tanaka, Akihiro and Tyree, Juniper and Björklund, Anton and Mäkelä, Jarmo and Puolamäki, Kai},
  editor     = {De Francisci Morales, Gianmarco and Perlich, Claudia and Ruchansky, Natali and Kourtellis, Nicolas and Baralis, Elena and Bonchi, Francesco},
  year       = {2023},
  month      = {09},
  series     = {Lecture Notes in Computer Science},
  pages      = {335-339},
  publisher  = {Springer Nature Switzerland},
  address    = {Cham},
  doi        = {10.1007/978-3-031-43430-3_26},
  isbn       = {978-3-031-43430-3}
}

@misc{tanaka2023xiplotarxiv,
  title         = {$\chi$iplot: Web-First Visualisation Platform for Multidimensional Data},
  shorttitle    = {$\chi$iplot},
  author        = {Tanaka, Akihiro and Tyree, Juniper and Bj{\"o}rklund, Anton and M{\"a}kel{\"a}, Jarmo and Puolam{\"a}ki, Kai},
  year          = {2023},
  month         = {06},
  number        = {arXiv:2306.12110},
  eprint        = {2306.12110},
  archiveprefix = {arXiv},
  primaryclass  = {cs.HC}
  publisher     = {{arXiv}},
  doi           = {10.48550/arXiv.2306.12110},
  url           = {http://arxiv.org/abs/2306.12110}
}

GitHub Events

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  • Push event: 3
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  • Fork event: 1
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Last Year
  • Watch event: 2
  • Delete event: 1
  • Push event: 3
  • Pull request event: 2
  • Fork event: 1
  • Create event: 1

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 26 last-month
  • Total dependent packages: 2
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 6
  • Total maintainers: 2
pypi.org: xiplot

Interactive data visualization tool

  • Documentation: https://xiplot.readthedocs.io/
  • 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.
  • Latest release: 0.4.1
    published about 2 years ago
  • Versions: 5
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 13 Last month
Rankings
Dependent packages count: 6.6%
Average: 18.6%
Dependent repos count: 30.6%
Maintainers (1)
Last synced: 4 months ago
pypi.org: xiplot-filetypes

Xiplot plugin for additional file types

  • Versions: 1
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 13 Last month
Rankings
Dependent packages count: 7.5%
Average: 38.7%
Dependent repos count: 69.8%
Maintainers (1)
Last synced: 4 months ago