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Open-source backend for Kepler.gl. Self-hosted alternative to CARTO and Foursquare Studio.
The main features of dekart-xyz/dekart are: Charts and Dashboards.
Projects with overlapping indexed features include: apache/incubator-superset — This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting,… metabase/metabase — Metabase is a business intelligence platform designed to connect to various storage systems and relational databases… mky508/querygpt — Text-to-SQL tool with auto Python analysis and charts. plotly/dash — Dash is a Python-based framework for building analytical web applications and reactive data dashboards. It allows… stitchfix/pyxley — Python helpers for building dashboards using Flask and React.
This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting, and monitoring. It provides a web application for exploring datasets and building interactive dashboards, complemented by a web-based SQL query editor for analyzing raw data from connected stores. The platform features a semantic data layer to define standardized metrics and dimensions, ensuring consistent data interpretation across reports. It includes a security framework with role-based access control to manage user permissions and authentication across shared dashboards. T
Metabase is a business intelligence platform designed to connect to various storage systems and relational databases for data exploration, visualization, and reporting. It provides a centralized environment where users can build queries through a graphical interface or raw code, transforming raw information into interactive dashboards and charts. The platform is built to support self-service analytics, allowing non-technical team members to extract insights without requiring deep knowledge of database syntax. The platform distinguishes itself through a metadata-driven modeling layer that abst
Dash is a Python-based framework for building analytical web applications and reactive data dashboards. It allows developers to connect data science and machine learning code to interactive web interfaces without writing JavaScript, serving as a backend-driven tool for defining layouts and managing state. The framework integrates the Plotly charting engine to render a wide variety of complex charts and financial graphs. It distinguishes itself through a reactive callback system that links user input components to data visualizations, enabling the creation of business intelligence dashboards a
