Repository Index

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

• redash
• python
• visualization
• analytics

The interactive graphing library for Python :sparkles:

• python
• d3
• plotly
• plotlyjs

the portable Python dataframe library

• python
• impala
• pandas
• database

Koalas: pandas API on Apache Spark

• spark
• pandas
• pydata
• dataframe

Lightweight and extensible compatibility layer between dataframe libraries!

• cudf
• ibis
• pandas
• polars

Jupyter magics and kernels for working with remote Spark clusters

• spark
• kernel
• cluster
• livy

📊 Data visualization library for React. Maintained by @goodcodeus.

• d3
• reactjs
• d3js
• data-viz

A plugin for the jQuery javascript library to generate small sparkline charts directly in the browser

GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs

• apache-spark
• big-data
• connected-components
• dataframe

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

• data-science
• data-processing
• python
• apache-spark

The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

• fairness
• fairness-ml
• fairness-ai
• linkedin

Docker container for Kafka - Spark Streaming - Cassandra

Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.

• big-data
• bigdata
• spark
• spark-sql

GG.Net Data Visualization

• charts
• plots
• blazor
• ml

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

• svm
• regression
• classification
• machine-learning

Collection of composable D3 components built with ember-d3-helpers

• data-visualization
• d3
• ember-addon

Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.

• notebooks
• pyspark-notebook
• juypter-notebook
• spark