Open-source alternatives to Datawrapper

This project is a web-based procedural fantasy map generator and interactive map editor. It serves as a worldbuilding cartography tool for creating detailed geographical landmasses, including heightmaps, biomes, and river systems. The tool includes a procedural name generator that produces fantasy names using configurable training sets and syllable rules. It further allows for the design of political borders, cultural identities, and the simulation of religious expansion across a fictional world. The capability surface covers digital cartography and fictional geography design, including the

one sentence generates any graph

:link: C++17 network / graph visualization library - Qt6 / QML node editor.

Kibana is a browser-based data exploration and visualization platform designed for interacting with information stored in distributed search engines. It serves as a centralized interface for analyzing structured and unstructured data, enabling users to build custom dashboards, generate interactive charts, and map complex datasets to uncover trends and actionable insights. Beyond visualization, the platform functions as a comprehensive management console for infrastructure operations. It provides tools for configuring security policies, managing data indices, and monitoring system health. The

Open-source fuel & EV route planner. Real-time prices across enabled countries. Self-hostable.

Redash is a self-hosted analytics platform and SQL data visualization tool. It provides a web-based SQL query editor for writing, executing, and scheduling database queries, and functions as a business intelligence dashboard for monitoring metrics via visual widgets. The platform distinguishes itself through its data source connectors, which integrate with various SQL, NoSQL, and API-based stores to retrieve information for analysis. It enables self-service analytics by allowing users to run queries with dynamic parameters and supports shared data reporting via public links or embedded dashbo

Gradio is a Python library that enables the creation of interactive web applications by converting functions into browser-based interfaces. It functions as a declarative framework where developers define input and output components to automatically generate web forms, visualizations, and data-driven dashboards. By abstracting away manual web markup, the library allows for the rapid construction of interfaces for machine learning models, research demonstrations, and analytical workflows within a single environment. The platform distinguishes itself by automatically exposing internal applicatio

gridstack.js is a JavaScript grid layout library and responsive dashboard framework used to create interactive interfaces with draggable and resizable elements. It functions as a drag-and-drop layout manager and a JSON-serializable layout engine, allowing user-defined interface states to be persisted and restored. The library distinguishes itself through a touch-enabled grid interface and a responsive system that automatically adjusts item placement based on screen breakpoints. It features a collision-based layout engine that manages overlapping coordinates to shift or swap elements, alongsid

Wave is a full-stack web application framework and low-code UI library designed for building real-time data dashboards and interactive interfaces using Python and R. It allows developers to define browser-based user interfaces and manage server-side state without writing HTML or CSS. The project functions as a collaborative state synchronizer, relaying and persisting application state across multiple concurrent users to enable shared real-time experiences. It distinguishes itself by broadcasting live updates and data visualizations to connected browsers through a unified programming model. T

btplotting provides plotting for backtests, optimization results and live data from backtrader.

Panel is a Python data application framework used to build interactive dashboards and reactive user interfaces by connecting data visualizations, widgets, and callbacks. It functions as a reactive UI library that synchronizes application state with interface updates based on user interactions. The project distinguishes itself by offering multiple execution models, including a FastAPI-based web application server for scalable session management and a WebAssembly compiler that enables Python applications to run directly in the browser without a backend server. It also includes a specialized too

best-of-streamlit

Open-source intelligence dashboard tracking the Iran conflict in real time. conflicts.app

Rath is an LLM-powered data analytics platform and augmented analytics engine designed for automated data exploration and visualization. It serves as a self-service tool for discovering patterns within large datasets, translating natural language queries into visual charts, and identifying causal relationships between variables using graphical models. The platform distinguishes itself through an automated data visualization system that recommends optimal chart types and layouts to minimize perception errors. It integrates large language models to enable natural language data querying and empl

Netron is a visualizer for neural network and machine learning models. It provides a graphical interface that renders model architectures as interactive node-link diagrams, allowing users to inspect internal layers, tensors, and metadata. By performing static analysis, the tool enables the examination of model definitions without executing the underlying machine learning code. The software distinguishes itself through a schema-driven parsing engine that translates diverse proprietary model formats into a unified internal graph structure. This approach ensures interoperability, allowing users

dtale is a web-based interactive grid and visualizer for pandas dataframes, designed as an exploratory data analysis tool. It provides a browser-based interface for analyzing tabular data structures, allowing users to calculate statistics, detect outliers, and compute correlations without writing manual code. The project functions as an embedded data viewer that can be integrated into web applications via iframes or custom routes, with specific support for Django, Flask, and Streamlit. It enables the exploration of datasets through a combination of an interactive data grid and a data visualiz

An open source visual editor for the 'MapLibre Style Specification'

mplfinance is a financial time-series plotter and market data visualization framework built on Matplotlib. It is designed to render market data frames into specialized charts, including candlesticks, OHLC bars, Renko bricks, and point-and-figure columns. The library distinguishes itself through a dedicated market data framework that manages trading calendars and non-trading periods, ensuring accurate temporal spacing by collapsing gaps during holidays. It also provides a system for technical analysis charting, enabling the overlay of moving averages, volume bars, and other technical indicator

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

Debugging, monitoring and visualization for Python Machine Learning and Data Science

A curated list of amazingly awesome dashboards/visualization resources.

A free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.

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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

This repository hosts the code for over 100 open-source Dash apps written in Python or R. They can serve as a starting point for your own Dash app, as a learning tool to better understand how Dash works, as a reusable templates, and much more.