https://github.com/awesome-panel/panel-highcharts

📈 The panel-highcharts package makes it easy to use HighCharts in Python, Notebooks and with HoloViz Panel.
https://github.com/awesome-panel/panel-highcharts

Keywords

analysis application charts datascience datavisualization dataviz holoviz panel trading

Keywords from Contributors

dataapp bokeh control-panels holoviews hvplot plotly chemistry dataexploration molecule

Last synced: 11 months ago
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Repository metadata

📈 The panel-highcharts package makes it easy to use HighCharts in Python, Notebooks and with HoloViz Panel.


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Committers metadata

Last synced: about 1 year ago

Total Commits: 83
Total Committers: 4
Avg Commits per committer: 20.75
Development Distribution Score (DDS): 0.217

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Marc Skov Madsen m****a@o****k 65
Marc Skov Madsen m****a@o****m 16
Your Name I****S@o****m 1
Marc Skov Madsen m****n@g****m 1

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Issue and Pull Request metadata

Last synced: 11 months ago

Total issues: 31
Total pull requests: 6
Average time to close issues: about 2 months
Average time to close pull requests: 20 minutes
Total issue authors: 14
Total pull request authors: 1
Average comments per issue: 1.55
Average comments per pull request: 0.67
Merged pull request: 6
Bot issues: 0
Bot pull requests: 0

Past year issues: 2
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 0.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/awesome-panel/panel-highcharts

Top Issue Authors

  • MarcSkovMadsen (5)
  • vincent-cph (5)
  • Berowne (2)
  • hakantekbasgit (2)
  • JulienB17 (2)
  • lovepocky (2)
  • othalan (2)
  • SaleelAhsanM (2)
  • sugatoray (2)
  • sygspjlsj (2)
  • tonybushido (2)
  • blueoceancruiser (1)
  • markqiu (1)
  • thetradingflow (1)

Top Pull Request Authors

  • MarcSkovMadsen (6)

Top Issue Labels

  • enhancement (6)
  • bug (2)

Top Pull Request Labels


Package metadata

pypi.org: panel-highcharts

This package makes it super simple to do exploratory data analysis and develop high-quality Panel data apps using the HighCharts plotting library.

  • Homepage:
  • Documentation: https://panel-highcharts.readthedocs.io/
  • Licenses: MIT License Copyright (c) 2021 Marc Skov Madsen 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. Please note Highcharts itself requires a license for commercial use. See https://shop.highsoft.com/faq.
  • Latest release: 20210403.1.4 (published about 4 years ago)
  • Last Synced: 2024-06-11T22:05:49.103Z (11 months ago)
  • Versions: 31
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 329 Last month
  • Rankings:
    • Dependent packages count: 4.746%
    • Average: 13.225%
    • Downloads: 13.295%
    • Dependent repos count: 21.634%
  • Maintainers (1)

Score: 12.247675135384686