Awesome Production Machine Learning
Section: Industry Strength Visualisation · An interactive, open source, and browser-based graphing library for Python.
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Appears in 4 awesome lists
An interactive, open source, and browser-based graphing library for Python.
Section: Industry Strength Visualisation · An interactive, open source, and browser-based graphing library for Python.
Section: Data Visualization · Interactive graphing library for Python.
Section: Data Visualization and Mission Control · An open-source, interactive graphing library for Python.
Section: Data Science and Analytics · The interactive graphing library for Python :sparkles:
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
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.
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.
OBS Studio, a popular open-source software for video recording and live streaming, offers support for both SRT and RIST protocols. This integration allows users to leverage these protocols for enhanced streaming performance, including improved resilience to network issues and lower latency. The…
A Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.
Bokeh is an interactive visualization library for Python that enables beautiful and meaningful visual presentation of data in modern web browsers.
Visualize time series (from sources such as: MQTT, Websockets, ZeroMQ, UDP, etc., supports data formats such as JSON, CBOR, BSON, Message Pack, etc.). It is a fast, powerful and intuitive cross-platform tool.