Awesome GitHub RepositoriesData App Frameworks

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

Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance graphics and data dashboards that render in web browsers. It serves as a tool for generating standalone HTML documents, embedded components for digital notebooks, and full-stack web applications powered by a Python backend. The project distinguishes itself through its ability to handle large or streaming datasets while maintaining smooth interactivity. It enables linked brushing across multiple views, allowing data selected in one plot to automatically highlight corresponding data i

GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without

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

Preswald ist ein WebAssembly-Framework für Datenanwendungen, das zum Aufbau interaktiver Daten-Apps verwendet wird, die vollständig im Browser mittels Python ausgeführt werden. Es bietet einen browserbasierten Daten-Stack, einschließlich SQL- und Python-Ausführung, der offline ohne die Notwendigkeit eines Backend-Servers funktioniert. Das Framework enthält einen statischen Daten-App-Bundler, um Daten-Workflows und Visualisierungen in einzelne, teilbare Dateien zu verpacken. Diese in sich geschlossenen Anwendungen ermöglichen serverloses Daten-Visualisieren und das Bündeln portabler Daten-Workflows für die Distribution. Das System nutzt eine reaktive Daten-Dashboard-Schnittstelle, die spezifische Bildschirmelemente automatisch basierend auf Änderungen in den zugrunde liegenden Daten aktualisiert. Es deckt Local-First-State-Management und clientseitige SQL-Ausführung ab, um die operative Kontinuität innerhalb der Browsersitzung zu wahren.

Vizro is a low-code Python framework for building production-ready data visualization applications. It functions as a UI orchestrator that allows users to define multi-page analytical dashboards through structured configurations in Python, YAML, or JSON, reducing the need for extensive frontend engineering. The project distinguishes itself through generative AI integration, utilizing a model context protocol server to translate natural language descriptions into validated dashboard configurations, charts, and layouts. It also features a decoupled data cataloging system that separates data sou