Data Exploration
Showing 36 of 36 projects
A modern, enterprise-ready business intelligence web application for data visualization and exploration.
An open-source business intelligence and embedded analytics platform that enables everyone to explore and visualize data without SQL.
An open-source business intelligence and embedded analytics platform that enables everyone to explore and visualize data.
An open-source tool for exploring and publishing data as interactive websites and APIs.
A terminal spreadsheet multitool for exploring and arranging tabular data from various formats.
A terminal-based UI tool for writing Linux pipes interactively with instant live preview of command results.
A multi-dimensional charting library that works natively with crossfilter and renders using d3.js.
An interactive command-line tool to drill down JSON data incrementally with jq-like filtering, auto-completion, and JMESPath support.
A Python library for building interactive data exploration tools, dashboards, and complex web applications entirely in Python.
A web-based SQL editor for writing, running, and visualizing queries across multiple databases.
A lightweight, fast, and beautiful database management tool with AI-powered chat interface for PostgreSQL, MySQL, SQLite, MongoDB, Redis, and more.
An open-source augmented analytics platform that automates exploratory data analysis and visualization with AI-powered insights.
Interactive HTML widgets for Jupyter notebooks, enabling dynamic data exploration and visualization.
A Python library for automated exploratory data analysis (EDA) with high-density visualizations and target analysis in two lines of code.
An open-source Python library for low-code data preparation, offering fast EDA, data cleaning, and collection from APIs and databases.
A lightweight MongoDB schema analyzer that reveals document structure, field frequencies, and data outliers.
A JavaScript library for fast n-dimensional filtering and grouping of large multivariate datasets in the browser.
The official GUI for MongoDB, providing a visual interface to explore and manipulate data, manage databases, and optimize queries.
Display Pandas and Polars DataFrames as interactive, sortable, and searchable DataTables in Jupyter notebooks and Python applications.
PowerShell modules providing console-based GUI experiences with interactive grid and tree views for data exploration.
A VS Code extension for visually exploring, cleaning, and transforming tabular data with automatic Pandas code generation.
An R package that automates exploratory data analysis and data treatment with one-line reports and visualizations.
A high-performance data profiler for discovering and validating complex patterns in datasets, enabling data cleaning and quality analysis.
A high-performance data profiler for discovering and validating complex patterns like functional dependencies, inclusion dependencies, and association rules.
A modern, extensible command-line interface and JavaScript/Node.js REPL for interacting with MongoDB databases.
A collection of utilities and scripts for interactive data exploration, analysis, and automated modeling within Microsoft's Team Data Science Process.
A VS Code extension to connect to MongoDB and Atlas, navigate databases, inspect schemas, and prototype queries with playgrounds.
A macOS tool for Salesforce developers to explore schema, run SOQL queries, edit data, and execute Apex code.
Build interactive web visualizations with Python without HTML/JS knowledge, inspired by R's Shiny package.
An interactive visual environment for managing and querying TypeDB databases.
A Python package for exploring and analyzing data from your Home Assistant database.
An open-source scientific visualization tool for exploring and presenting volumetric datasets like tomography and electron-microscopy data.
Interactive exploration and analysis software for large, high-dimensional image-derived biological data with supervised machine learning.
A free web-based environment for exploring data and managing schemas with Apache Cassandra databases.
A web-based tool for exploring IPLD data structures and the Merkle Forest directly from your browser.
A Jupyter widget that integrates the powerful ag-Grid data grid into Jupyter notebooks for interactive data exploration.
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