Awesome GitHub RepositoriesInteractive Presentation Tools

Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive dashboarding. It functions as a query-driven analytics engine that connects to various SQL databases, allowing users to perform ad-hoc analysis, define virtual metrics, and build complex data visualizations through a centralized interface. The platform distinguishes itself through a robust semantic layer that transforms raw database schemas into calculated columns and virtual metrics, enabling consistent business logic across an organization. It features a plugin-based visualiz

NocoDB is a visual platform that transforms relational databases into collaborative, spreadsheet-style workspaces. By acting as a headless database backend, it provides a unified environment for designing database structures, managing record relationships, and interacting with data without requiring manual SQL queries. The platform normalizes interactions across various SQL and NoSQL data sources, allowing users to manage complex datasets through a centralized interface. The project distinguishes itself by automatically generating RESTful and GraphQL APIs from existing database schemas, enabl

pyecharts is a Python visualization library and wrapper for the Echarts JavaScript engine. It translates Python data and configurations into JSON specifications to generate interactive web-based charts and graphs. The library provides specialized capabilities for geographic data mapping using a comprehensive library of map assets to visualize spatial information. It also includes utilities to capture rasterized snapshots of rendered web visualizations for export as static image files. The tool supports rendering interactive plots directly within data science notebook environments and exporti

Wandb is a centralized platform for machine learning experiment tracking, model registry management, and workflow orchestration. It provides a comprehensive suite of tools for logging, visualizing, and versioning training metrics, model artifacts, and hyperparameter sweeps to ensure reproducibility across development cycles. The platform also functions as an observability tool for large language model applications, enabling the tracing of execution steps, token usage, and reasoning processes. The project distinguishes itself through its event-driven automation capabilities, which allow users

vue-echarts is a declarative charting wrapper and Vue.js component for the Apache ECharts library. It functions as a data visualization library that maps configurations and data updates to a rendering engine, enabling the embedding of interactive graphs and charts as reusable web components. The project provides a system for managing visual consistency through theme configuration and context-based injection. It allows for deep customization of the visualization interface, including the use of scoped slots to render custom HTML markup within tooltips and the construction of complex graphic ele

SandDance is a hardware-accelerated visualization library and web-based data explorer designed for the interactive analysis of large, non-aggregated datasets. It functions as an interactive data visualization tool that renders complex datasets and intricate visuals within a browser. The project provides an embeddable data canvas consisting of web components and tags, allowing for the integration of full visualization interfaces and interactive charts into external web applications. It utilizes WebGL hardware acceleration to efficiently render large volumes of data as interactive graphics. Th

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

Davinci is a business intelligence and data visualization platform used for building interactive dashboards and reports. It functions as a SQL-based dashboard builder and multi-tenant analytics service that connects to databases via JDBC and CSV files to transform raw data into visual components. The platform is distinguished by its granular security model, which includes row-level and column-level permissions integrated with LDAP and OAuth2 authentication. It also provides an embedded visualization tool that allows secure, parameterized charts and dashboards to be inserted into external appl

Just-dashboard एक डेटा विज़ुअलाइज़ेशन फ्रेमवर्क है जो घोषणात्मक कॉन्फ़िगरेशन फ़ाइलों के माध्यम से इंटरैक्टिव वेब डैशबोर्ड के निर्माण को सक्षम बनाता है। YAML या JSON में लेआउट और डेटा स्रोतों को परिभाषित करके, उपयोगकर्ता कस्टम फ्रंटएंड कोड लिखे बिना कार्यात्मक इंटरफ़ेस उत्पन्न कर सकते हैं। सिस्टम एक डैशबोर्ड बिल्डर के रूप में कार्य करता है जो इन संरचित परिभाषाओं को विज़ुअल घटकों में बदल देता है, जो स्थानीय एम्बेडिंग और रिमोट तैनाती दोनों का समर्थन करता है। यह प्रोजेक्ट डैशबोर्ड को संस्करण-नियंत्रित स्निपेट के माध्यम से होस्ट और साझा करने की अनुमति देकर खुद को अलग करता है, जो एक समर्पित बैकएंड की आवश्यकता के बिना डेटा विज़ुअलाइज़ेशन तक त्वरित पहुंच को सक्षम बनाता है। यह रनटाइम पर कॉन्फ़िगरेशन फ़ाइलों को प्राप्त करके गतिशील अपडेट का समर्थन करता है, और ड्रॉपडाउन जैसे इंटरैक्टिव नियंत्रण प्रदान करता है जो उपयोगकर्ताओं को सीधे ब्राउज़र के भीतर डेटा दृश्यों को फ़िल्टर और बदलने की अनुमति देते हैं। यह फ्रेमवर्क मौजूदा वेब एप्लिकेशन में एक मॉड्यूलर निर्भरता के रूप में एकीकृत होता है, जो प्रोजेक्ट के व्यू पदानुक्रम के भीतर सीधे एनालिटिक्स के समावेश की सुविधा प्रदान करता है। इसमें निर्माण प्रक्रिया के दौरान स्थिर प्रकार की घोषणाएं उत्पन्न करने के लिए स्वचालित टूल शामिल हैं, जो सुसंगतता सुनिश्चित करते हैं और डेवलपर्स को उनके डैशबोर्ड संरचनाओं को परिभाषित करते समय समर्थन प्रदान करते हैं।