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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.
Graph layout algorithms in pure Julia.
Grid studio is a web-based spreadsheet application with full integration of the Python programming language.
growth-lab is an open source tool or library for SEO, metadata, crawling, routing, or website optimization.
gtm-engineer-skills helps track or improve visibility in AI search, answer engines, and generative results.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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.
HEAD helps manage meta tags, Open Graph data, and social sharing previews for websites.
A dataset format for creating, storing, and collaborating on AI datasets of any size.
hugo-liftoff helps plan, write, optimize, or analyze content for SEO and search visibility.
Analyzes structured data and helps produce queries, insights or visualizations.
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.
Node.js module to help you understand how your tool is being used by anonymously reporting usage metrics to Google Analytics
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.
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.
jekyll-seo-tag helps plan, write, optimize, or analyze content for SEO and search visibility.
Distributed POSIX file system built on top of Redis and S3.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.
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.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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.
KnpPaginatorBundle is an open source tool or library for SEO, metadata, crawling, routing, or website optimization.
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.
Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demograph
