-
The most popular data visualization python library in 2023. It turns your dataframe into an interactive data exploration app like tableau/powerBI with one line of code. It provides simple drag-and-drop/chat interface for you to build charts. It can run in juypter notebook, which means you do not need to switch between your code and the visualization app. Besides, you can also build interactive spitial visualization on maps with it. And it also has Javascript and R version.
-
InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
-
Github: https://github.com/matplotlib/matplotlib
-
Github: https://github.com/plotly/plotly.py
-
Github: https://github.com/bokeh/bokeh
-
Github: https://github.com/mwaskom/seaborn
-
Github: https://github.com/pyecharts/pyecharts
-
Github: Altair
-
Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
-
Github: https://github.com/has2k1/plotnine
-
Github: https://github.com/holoviz/holoviews
-
Github: https://github.com/vispy/vispy