plotly-resampler
A Python library that adds dynamic data aggregation to Plotly figures for scalable visualization of large time series.
What is plotly-resampler?
Plotly-Resampler is a Python library that extends Plotly figures with dynamic data aggregation functionality to enable efficient visualization of large time series datasets. It solves the performance problem of rendering millions of data points by resampling data on-the-fly based on the user's current viewport, ensuring smooth interactivity. The library integrates seamlessly with Plotly's existing API and supports various environments including Jupyter notebooks and Dash applications.
Data scientists, researchers, and developers working with large time series data who need interactive, scalable visualizations in Python, particularly those already using Plotly for data exploration and dashboarding.
Developers choose Plotly-Resampler because it provides a drop-in solution to make Plotly visualizations scalable without requiring major code changes or switching to a different plotting library. Its unique selling point is the combination of Plotly's rich interactivity with efficient dynamic aggregation, supporting environments from notebooks to standalone web apps.
Overview
Visualize large time series data with plotly.py
Use Cases
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