plotly.js
plotly
plotly.js | plotly | |
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40 | 65 | |
16,536 | 15,288 | |
0.5% | 1.4% | |
9.9 | 9.4 | |
6 days ago | 9 days ago | |
JavaScript | Python | |
MIT License | MIT License |
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plotly.js
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Ask HN: What's the best charting library for customer-facing dashboards?
Plotly is based on D3. Has both open-source version and paid option.
https://plotly.com/javascript/
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Build Your Own Uptime Monitor with MeteorJS + Fetch + Plotly.js ☄️🔭
Plotly as our chart renderer
- FLaNK Stack Weekly 19 Feb 2024
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Using Plotly.js with React
In this lesson, we will go through the steps of using Plotly.js in React. Plotly.js is an Open Source Graphing Library. At the end of this lesson, you should be able to do a simple plot with Plotly.js.
- Open-source JavaScript charting library behind Plotly and Dash
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Ask HN: What packages can be used to create interactive mathematics simulations?
Well, MathML[1] support is (nearly) everywhere now, and as the docs say:
MathML Core is a subset with increased implementation details based on rules from LaTeX and the Open Font Format. It is tailored for browsers and designed specifically to work well with other web standards including HTML, CSS, DOM, JavaScript.
I don't have a lot of experience working with this stuff (yet) but if you can script your MathML objects with Javascript, you should be able to make whatever interactive "stuff" you want in terms of math notation. Now drawing objects and plots and stuff is a different question.
There's stuff like Plotly[2], D3[3], Sigma[4], etc. that might be useful depending on exactly what effects you're going for.
[1]: https://developer.mozilla.org/en-US/docs/Web/MathML
[2]: https://github.com/plotly/plotly.js
[3]: https://d3js.org/
[4]: https://www.sigmajs.org/
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Using Plotly.js with Angular
This is the end of the lesson. For more information on Plotly.js, check the documentation Plotly.
- 10 highly effective BI dashboards that you can build with Python
- Flask chart and rss feed
- What chart libraries are ‘modern’?
plotly
- Yes, Python and Matplotlib can make pretty charts
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/plotly/plotly.py
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How to Create a Pareto Chart 📐
First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.
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For all you computational people: What’s your favorite plotting software?
my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.
- What does Power BI offer?
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Other programing options?
Plotly documentation (https://plotly.com/python/)
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Advice on upgrading my Presentation template
I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.
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[OC] Clustering Images with OpenAI CLIP, T-SNE, UMAP & Plotly
Plotly GitHub repository: https://github.com/plotly/plotly.py
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Could you recommend some graphing GitHub Repo. for JupyterLab?
I'm using plotly.py now. This is why I love this community.
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Anyone else feel ‘trapped’ in power bi?
Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.
What are some alternatives?
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Altair - Declarative statistical visualization library for Python
echarts4r - 🐳 ECharts 5 for R
bokeh - Interactive Data Visualization in the browser, from Python
calendar-heatmap - 📊 Calendar heatmap graph
matplotlib - matplotlib: plotting with Python
superset - Apache Superset is a Data Visualization and Data Exploration Platform
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
react-vis - Data Visualization Components
folium - Python Data. Leaflet.js Maps.
dash-mantine-components - Plotly Dash components based on Mantine React Components
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]