plotly.js
| apache-iceberg-data-exploration | plotly.js | |
|---|---|---|
| 1 | 40 | |
| 8 | 16,654 | |
| - | 0.7% | |
| 7.0 | 9.9 | |
| 4 months ago | 6 days ago | |
| Jupyter Notebook | JavaScript | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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apache-iceberg-data-exploration
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’?
What are some alternatives?
nifi - Apache NiFi
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
xonsh - :shell: Python-powered, cross-platform, Unix-gazing shell.
echarts4r - 🐳 ECharts 5 for R
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calendar-heatmap - 📊 Calendar heatmap graph
superset - Apache Superset is a Data Visualization and Data Exploration Platform
react-vis - Data Visualization Components
dash-mantine-components - Plotly Dash components based on Mantine React Components
kedro-viz - Visualise your Kedro data and machine-learning pipelines and track your experiments.
quiver - Interactive convnet features visualization for Keras
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!