Altair Alternatives
Similar projects and alternatives to Altair
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plotly
The interactive graphing library for Python (includes Plotly Express) :sparkles:
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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Flask JSONDash
:snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
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scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
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unikraft
Unikraft is an automated system for building specialized OSes known as unikernels. Unikraft can be configured to be POSIX-compliant. (Core repository)
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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markdown-it
Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed
Altair reviews and mentions
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Mito – Excel-like interface for Pandas dataframes in Jupyter notebook
If you can write visualisations in Python itself, I am a big fan of Altair's syntax (https://github.com/altair-viz/altair), which is based on vega-lite. A while back, I wrote a brief guide and comparison of the main plotting libraries: https://datapane.com/reports/87NNEJ7/the-ultimate-guide-to-p...
One benefit of having them in actual code is that you can programmatically automate the creation of things like dashboards and reports. For instance, schedule a script to share an interactive plot every Monday morning, or build a live dashboard that updates every 10m. This opens up a lot of possibilities that would be impossible in a traditional drag-and-drop tool.
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I used a new dataframe library (polars) to wrangle 300M prices and discover some of the most expensive hospitals in America. Code/notebook in article
Hi all, I used polars (a new dataframe library built in rust) to do some data wrangling that would not have been possible in pandas. Altair was used for the visualizations (python wrapper for Vega-Lite.) I'm slowly moving away from Matplotlib.
- Ask HN: What are some examples of elegant software?
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A chart walks into a bar: Altair vs. leather
For this first installment, let's create a bar chart using Altair and then leather. The dataset looks like this:
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[OC] Starting salary for US universities based on their Times World Ranking and school type
Python Altair library: https://altair-viz.github.io/
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How to configure Vega-Embed for a single Altair chart?
By default, in the upper right corner of each Altair chart, there is a dropdown menu with various options. This menu comes with Vega-Embed, the package used under the hood to render the charts.
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How do people package Altair themes?
In Altair, we can create custom and shareable themes to apply to different charts. So, several Python packages are available with these themes ready to go. Considering four examples, let's see how other people package their Altair themes. For more information before we talk about them, check the Altair Themes section available in the documentation.
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What's your favorite data visualization tool for Python and why ?
If I want quick and dirty then it's pandas plotting. If I want it pretty then it's Altair. It's beautiful and so well maintained.
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Show HN: Plost – a deceptively simple plotting library
What is the difference to https://altair-viz.github.io/ which I use in Python to create vega-lite plots? Can you create interactivity with Plost? Unfortunately https://share.streamlit.io/tvst/plost is still broken, so I can't really assess this.
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Which Python visualization module to use for research-quality graphs?
I find Altair to be the most beautiful out of the box.
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Generating visualizations from data for web pages
My understanding is the Altair package https://altair-viz.github.io/ from the Python world does this: Python code generates a Vega-Lite https://vega.github.io/vega-lite/ specification along with the raw data output as json, and these then can be bundled together into a webpage where the vega.js Javascript-based renderer then does the actual visualization work in the browser. Does a similar project for Rust exist? What do you use when you want to e.g. serve a dashboard from Rust and need visualizations?
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Deneb: Declarative Visualization in Power BI
As such, I've been obsessed with the Vega and Vega-Lite languages for a long time. These use JSON rather than full-blown code, and allow you to build a visual from the ground-up using a grammar of graphics, much like ggplot2 in R or Altair in Python (which is actually an implementation of Vega/Vega-Lite).
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Open access book on scientific visualization using Python and matplotlib
I can't speak to oz's error messages, but for the vega-lite + python integration, I've found altair pretty usable. In particular, simple scatter plots with tooltips were easy to get up and running.
https://altair-viz.github.io/gallery/scatter_tooltips.html?h...
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There's plenty in the data professions that is not glamorous
And everyone who thinks plotting in Python sucks, you're right. Except for Altair.
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Anyone else despises Matplotlib?
just use altair: https://altair-viz.github.io/
Stats
altair-viz/altair is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
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