Data-visualization Libraries

With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization. Scale up with Dash Enterprise when your Dash app is ready for d…

A modern, enterprise-ready business intelligence web application. Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intellige…

So our hope is that while finding our articles analysis and conclusions interesting, you will also learn how to repeat and extend them yourself and arrive to aditional conclusions. Where we analyse t…

In addition to the built-in package documentation there are vignettes with more information on getting started and additional examples:

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…

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

Here, you can find all cheatsheets for Data Science, Machine Learning and Deep Learning.

Ocean Navigator is a Data Visualization tool that enables users to discover and view 3D ocean model output quickly and easily. The server-side component of the Ocean Navigator is written in Python 3,…

For example, if I live in Europe and want to plot for american viewers (-7 hours compared to my local time):

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…

Noggin is a simple Python tool for ‘live’ logging and plotting measurements during experiments. Although Noggin can be used in a general context, it is designed around the train/test and batch/epoch …

This is an open source text book for communication students to learn Python and data skills. No prerequisites, like prior programming or technology experience, are required. However, expect intensive…

This tutorial doesn't assume any prior knowledge in python, or any other background in programming languages. The whole tutorial is written in jupyter notebooks, which I feel is the best platform for…

⭐ 2023-12-01: VerticaPy secures 200 stars. 📢 2020-06-27: Vertica-ML-Python has been renamed to VerticaPy. The easiest and most accurate way to find documentation for a particular function is to use t…

Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of it based on the segments. The cou…

It just takes a few lines of Python to create a beautiful demo like the one above, so let's get started 💫 You can run Gradio in your favorite code editor, Jupyter notebook, Google Colab, or anywhere …

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…

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…

Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. Intended for both beginners and experts, Allie is designed to be easy-to-use for rapid prototy…

The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on you…

Aim is an open-source, self-hosted ML experiment tracking tool designed to handle 10,000s of training runs. Aim provides a performant and beautiful UI for exploring and comparing training runs. Addit…

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…

This repository contains all materials related to a lecture / seminar I teach on practical data visualization with python. What I mean by "practical" is that the materials herein do not focus on one …

This repository is containing portfolio of data science and data analyst projects completed by me (and sometimes with my team) for academic, self learning, and hobby purposes. Presented in the form o…

causeinfer can be downloaded from PyPI via pip or sourced directly from this repository: Separate models for treatment and control groups are trained and combined to derive average treatment effects…

Data Science Hacks is created and maintained by Analytics Vidhya for the data science community. It includes a variety of tips, tricks and hacks related to data science, machine learning These Hacks …