8 रिपॉजिटरी
Mechanisms for publishing and sharing interactive data visualizations.
Distinguishing note: Focuses on public access to dashboards rather than internal permission management.
Explore 8 awesome GitHub repositories matching user interface & experience · Dashboard Sharing. Refine with filters or upvote what's useful.
Umami is a self-hosted, privacy-focused web analytics platform designed to provide full control over infrastructure and user data. It captures website traffic and visitor behavior through anonymous tracking methods that avoid cookies, browser fingerprinting, and the storage of personally identifiable information. The platform distinguishes itself through a comprehensive suite of behavioral analysis tools, including session replays, heatmaps, and cohort-based retention reporting. It features a multi-tenant architecture that allows teams to manage multiple websites within a single, collaborativ
Grants external users access to metrics by generating a public link for viewing dashboard data.
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
Generates public links and embeds to share interactive data visualizations with external stakeholders.
This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and multi-tenant data management. It provides a cookie-less tracking engine that captures visitor interactions using ephemeral request metadata, ensuring comprehensive traffic visibility while maintaining strict privacy standards. The architecture utilizes an event-driven ingestion pipeline and aggregated metric storage to decouple data collection from processing, enabling efficient long-term retrieval and responsive dashboard performance. What distinguishes this platform is its
Enables public or private sharing of analytics dashboards via generated access links.
DataEase is an open-source, self-hosted business intelligence platform designed for building interactive data visualizations and managing analytical reporting. It provides a centralized environment where users can construct dashboards through a drag-and-drop interface, connecting to diverse data sources including relational databases, data warehouses, and external APIs. The platform distinguishes itself through its focus on embedded analytics and enterprise-grade governance. It allows for the seamless integration of charts, dashboards, and management modules into third-party web applications
Generates shareable links with optional password protection and expiration dates for secure external access.
Lightdash is an open-source business intelligence platform that treats analytics logic as code. It centralizes metric and dimension definitions in a semantic layer, allowing data teams to define business metrics in YAML files version-controlled alongside data models. This approach ensures consistent, governed data access without requiring users to write SQL. Lightdash introduces CI/CD workflows for BI content, enabling teams to validate, test, and deploy analytics changes through automated pipelines and isolated preview environments. Its natural language query interface allows users to ask qu
Creates interactive visualizations from defined metrics and distributes them via URLs, scheduled Slack messages, or email.
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
Shares interactive dashboards and components through authorized access mechanisms or CSV file transfers.
Chartbrew is a self-hosted business intelligence platform and data visualization engine designed to transform raw data from SQL databases and external API endpoints into interactive charts and dashboards. It serves as a tool for building analytics dashboards that monitor business metrics and KPIs through a privately hosted environment. The platform distinguishes itself with an embedded analytics workflow, allowing users to generate secure, time-limited shared links and iframes to display private charts on external websites. It also provides programmatic chart generation via API and integrates
Generates signed JWT tokens to provide time-limited, parameter-controlled access to dashboards and charts.
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।
Supports public sharing of interactive data visualizations via remote configuration links.