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The Python ensemble sampling toolkit for affine-invariant MCMC.
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Clojure Data Visualisation library, based on Statistiker and D3.
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DALI is a dataset of synchronised audio, lyrics and vocal notes, presented as a collection of gz files. A Python package, dali_code, is stored in the repository for reading and working with the data; release versions are installable via pip. The dataset was created automatically using a teacher-student machine learning paradigm, described in an ISMIR 2018 paper.
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Gadfly is a Julia package for creating statistical graphics. Developed by GiovineItalia, it provides a grammar of graphics for generating visualizations in Julia. The repository includes documentation, examples, and installation instructions, and is open source.
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A Clojure dataframe library that runs on Apache Spark.
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Unified interface to ggplot2 popular R packages.
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Globe is a Go library for wireframe globe visualizations, backed by pinhole. It can draw graticules, land and country boundaries, dots, lines along great circles, and rectangles, and save output as PNG. Users install it with go get, and the project is available under the ISC License.
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Glot is a plotting library for Golang built on top of gnuplot.
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Gopherdata's tooling directory is a curated list of tools, packages, and libraries for doing data science with Go. It organizes resources across categories such as classification, clustering, CSV handling, distributed data analysis, geospatial work, machine learning, and plotting, and also lists proposed packages meant to fill gaps in the ecosystem.
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Graph layout algorithms in pure Julia.
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Grid studio is a web-based spreadsheet application with full integration of the Python programming language.
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HDBSCAN is a high performance implementation of hierarchical density-based clustering. It performs DBSCAN over varying epsilon values and integrates results to find a clustering with the best stability over epsilon, allowing clusters of varying densities. The package inherits from sklearn classes and supports arrays, pandas dataframes, sparse matrices or distance matrices as input.
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A dataset format for creating, storing, and collaborating on AI datasets of any size.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Impala is a distributed C++ query engine for SQL queries over petabytes of data stored in Apache Hadoop clusters. It supports data in HDFS, Apache HBase and Amazon S3, window functions and subqueries, and uses LLVM for on-the-fly code generation. It is Apache-licensed and open source, and the repository is a mirror of Apache Impala.
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Intake is a lightweight package for finding, investigating, loading, and disseminating data. It is hosted on GitHub at https://github.com/intake/intake. The repository includes documentation, installation instructions, development guidelines, and support information.
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The oneAPI Data Analytics Library (oneDAL) is a library for data analytics. It is hosted on GitHub under the uxlfoundation/oneDAL repository. The repository provides usage examples, installation instructions, and documentation.
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ipychart is a Python library that brings the power of Chart.js to Python. It is hosted on GitHub at https://github.com/nicohlr/ipychart. The repository includes installation instructions, documentation, usage examples, and development information.
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JSMLT is an open source JavaScript library for education in machine learning. It implements supervised learning algorithms, including SVM, random forest, decision tree, perceptron, neural networks, k-nearest neighbors and logistic regression, and provides visualization examples for exploring how the algorithms work.
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Distributed POSIX file system built on top of Redis and S3.
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Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.
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Kartograph.py is a Python library for rendering beautiful SVG maps. The project is currently unmaintained, but its source code remains available on GitHub. It allows users to create map visualizations programmatically.
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Knowledge Repo is a next-generation curated knowledge sharing platform designed for data scientists and other technical professionals. It is maintained as a public open source repository on GitHub under the Airbnb organization.
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Koalas, from Databricks, implements the pandas DataFrame API on top of Apache Spark. The repository is marked deprecated and in maintenance mode; Koalas supports Apache Spark 3.1 and below, and PySpark is recommended directly for Spark 3.2 and above. It is available under the Apache-2.0 license.