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- redash
- python
- visualization
- analytics
Repository Index
47,133 repositories indexed
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The interactive graphing library for Python :sparkles:
the portable Python dataframe library
Koalas: pandas API on Apache Spark
Lightweight and extensible compatibility layer between dataframe libraries!
Jupyter magics and kernels for working with remote Spark clusters
📊 Data visualization library for React. Maintained by @goodcodeus.
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
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.
GG.Net Data Visualization
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
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