Awesome Big Data
Section: Data Visualization · Analytical Web Apps for Python, R, Julia, and Jupyter. Built on top of plotly, no JS required
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Appears in 7 awesome lists
A framework for creating analytical web applications built on top of Plotly.js, React, and Flask
Section: Data Visualization · Analytical Web Apps for Python, R, Julia, and Jupyter. Built on top of plotly, no JS required
Section: Tools · Framework for creating interactive web applications.
Section: Charts and Dashboards · Flask, JS, and CSS boilerplate for interactive, web-based visualization apps in Python.
Section: Python · A framework for creating analytical web applications built on top of Plotly.js, React, and Flask
Section: Data Visualization · Analytical Web Apps for Python, R, Julia, and Jupyter.
Section: Data Science and Analytics · Data Apps & Dashboards for Python. No JavaScript Required.
Section: Visualization · | Python | - Data Apps & Dashboards for Python. No JavaScript Required.
Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.
🆓 Connect and query your data sources, build dashboards to visualize data and share them with your company. Owned by Databricks but the hosted SaaS shut down in 2021, so the project is now community-maintained under the Databricks org with no paid Redash product.
is an analytics platform that enables you to query and visualize data, then create and share dashboards based on your visualizations. Easily visualize metrics, logs, and traces from multiple sources such as Prometheus, Loki, Elasticsearch, InfluxDB, Postgres, Fluentd, Fluentbit, Logstash and many…
The fastest way to build and share data apps. Transform Python scripts into beautiful web applications with minimal code. Widely used for ML model demos, data visualization, and internal tools.
Allows the user to manipulate documents based on data to render charts in SVG.
Gephi is an award-winning open-source platform for visualizing and manipulating large graphs. It runs on Windows, Mac OS X and Linux. Localization is available in French, Spanish, Japanese, Russian, Brazilian Portuguese, Chinese and Czech. License: GNU 3 or CDDL 1.0.
A Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.