Visualization Libraries

Graphistry gets used on problems like visually mapping the behavior of devices and users, investigating fraud, analyzing machine learning results, and starting in graph AI. It provides point-and-clic…

Because NannyML can estimate performance, it is possible to weed out data drift alerts that do not impact expected performance, combatting alert fatigue. Besides linking data drift issues to drops in…

This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graph…

🚀 Introducing VL Profiler! 🚀 We're excited to announce our new cloud product, VL Profiler. It's designed to help you gain deeper insights and enhance your productivity while using fastdup. With VL P…

diskover is an open source file system indexer that uses Elasticsearch to index and manage data across heterogeneous storage systems. Using diskover, you are able to more effectively search and organ…

To edit an ONNX model, one common way is to visualize the model graph, and edit it using ONNX Python API. This works fine. However, we have to code to edit, then visualize to check. The two processes…

Streamsync is an open-source framework for creating data apps. Build user interfaces using a visual editor; write the backend code in Python. It's an alternative to Plotly Dash, Streamlit and Gradio.…

A simple Python debugger and profiler that generates animated visualizations of program flow. It is meant to help with learning algorithms by allowing you to visualize what the algorithms are doing. …

Retentioneering is a Python library that makes analyzing clickstreams, user paths (trajectories), and event logs much easier, and yields much broader and deeper insights than funnel analysis. You can…

Bowtie is a library for writing dashboards in Python. No need to know web frameworks or JavaScript, focus on building functionality in Python. Interactively explore your data in new ways! Deploy and …

Chaos Genius is an open source ML powered analytics engine for outlier detection and root cause analysis. Chaos Genius can be used to monitor and analyse high dimensionality business, data and system…

Line chart: : Pie chart: : Column chart: : Bar chart: : Area chart: : Scatter chart: : Data can be a dictionary or a list: : For multiple series: : Note Install chartkick: : Load JS scripts: Chart.js…

My interests lie in the intersection of statistical techniques, data visualization and sports (especially football). All the codes are written entirely in Python or R. I don't have a strong preferenc…

There are two ways you can use Kedro-Viz: To install Kedro-Viz as a Kedro plugin: As a standalone React component (for embedding Kedro-Viz in your web application). To install the standalone React c…

Python script for illustrating Convolutional Neural Networks (CNN). Inspired by the draw_convnet project [1]. python-pptx (if you want to save models as pptx) Keras (if you want to convert Keras sequ…

A Python library for transformations in three dimensions. pytransform3d offers... pytransform3d is used in various domains, for example: Use pip to install the package from PyPI: or conda: Various pl…

We gather trace data for a group of repositories, normalize it into our data model, and provide a variety of metrics about said data. The structure of our data model enables us to synthesize data acr…

ITKWidgets is an elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry. To install for all environme…

A repository for the code, files, and other assets used in LearnDataSci articles. Links to posts on LearnDataSci and their repos (sorted by recency):

AI-generated Graphic Models. With the rise of language models for generating images from text, SolidUI wants to help people quickly build visualization tools. The visualization content includes 2D, 3…

Make Plotly Dash part of your Flask Application by following this example. Get set up locally in two steps:

... but PlotOptiX is much faster on large data, and, with all the raytraced shades and DoF, more readable and eye catching. You can quickly display data in a simple plot: or prepare complex scenes, c…

You can also enter multiple articles to "compare" by pressing Comma, Tab, or Enter after each one you enter. When you click to expand a node, a request is made to the Wikipedia API to download the fu…

It is utmost important for any security engineer to understand their network first before securing it and it becomes a daunting task to have a ‘true’ understanding of a widespread network. In a mid t…

IPyPlot offers 3 main functions which can be used for displaying images in notebooks: and use any of the available plotting functions shown below (notice execution times).

You can easily zoom in to get better detail or make the output smaller. You can directly give a URL on the command line. If you have a image with more than 3 bands (channels), you can specify the ord…