metadata

title: Chart elements
slug: /develop/api-reference/charts

Chart elements

Streamlit supports several different charting libraries, and our goal is to continually add support for more. Right now, the most basic library in our arsenal is Matplotlib. Then there are also interactive charting libraries like Vega Lite (2D charts) and deck.gl (maps and 3D charts). And finally we also provide a few chart types that are "native" to Streamlit, like st.line_chart and st.area_chart.

Simple chart elements

Simple area charts

Display an area chart.

st.area_chart(my_data_frame)

Simple bar charts

Display a bar chart.

st.bar_chart(my_data_frame)

Simple line charts

Display a line chart.

st.line_chart(my_data_frame)

Simple scatter charts

Display a line chart.

st.scatter_chart(my_data_frame)

Scatterplots on maps

Display a map with points on it.

st.map(my_data_frame)

Advanced chart elements

Matplotlib

Display a matplotlib.pyplot figure.

st.pyplot(my_mpl_figure)

Altair

Display a chart using the Altair library.

st.altair_chart(my_altair_chart)

Vega-Lite

Display a chart using the Vega-Lite library.

st.vega_lite_chart(my_vega_lite_chart)

Plotly

Display an interactive Plotly chart.

st.plotly_chart(my_plotly_chart)

Bokeh

Display an interactive Bokeh chart.

st.bokeh_chart(my_bokeh_chart)

PyDeck

Display a chart using the PyDeck library.

st.pydeck_chart(my_pydeck_chart)

GraphViz

Display a graph using the dagre-d3 library.

st.graphviz_chart(my_graphviz_spec)

Plost

A deceptively simple plotting library for Streamlit. Created by @tvst.

import plost
plost.line_chart(my_dataframe, x='time', y='stock_value', color='stock_name',)

HiPlot

High dimensional Interactive Plotting. Created by @facebookresearch.

data = [{'dropout':0.1, 'lr': 0.001, 'loss': 10.0, 'optimizer': 'SGD'}, {'dropout':0.15, 'lr': 0.01, 'loss': 3.5, 'optimizer': 'Adam'}, {'dropout':0.3, 'lr': 0.1, 'loss': 4.5, 'optimizer': 'Adam'}]
hip.Experiment.from_iterable(data).display()

ECharts

High dimensional Interactive Plotting. Created by @andfanilo.

from streamlit_echarts import st_echarts
st_echarts(options=options)

Streamlit Folium

Streamlit Component for rendering Folium maps. Created by @randyzwitch.

m = folium.Map(location=[39.949610, -75.150282], zoom_start=16)
st_data = st_folium(m, width=725)

Spacy-Streamlit

spaCy building blocks and visualizers for Streamlit apps. Created by @explosion.

models = ["en_core_web_sm", "en_core_web_md"]
spacy_streamlit.visualize(models, "Sundar Pichai is the CEO of Google.")

Streamlit Agraph

A Streamlit Graph Vis, based on react-grah-vis. Created by @ChrisDelClea.

from streamlit_agraph import agraph, Node, Edge, Config
agraph(nodes=nodes, edges=edges, config=config)

Streamlit Lottie

Integrate Lottie animations inside your Streamlit app. Created by @andfanilo.

lottie_hello = load_lottieurl("https://assets5.lottiefiles.com/packages/lf20_V9t630.json")
st_lottie(lottie_hello, key="hello")

Plotly Events

Make Plotly charts interactive!. Created by @null-jones.

fig = px.line(x=[1], y=[1])
selected_points = plotly_events(fig)

Streamlit Extras

A library with useful Streamlit extras. Created by @arnaudmiribel.

chart += get_annotations_chart(annotations=[("Mar 01, 2008", "Pretty good day for GOOG"), ("Dec 01, 2007", "Something's going wrong for GOOG & AAPL"), ("Nov 01, 2008", "Market starts again thanks to..."), ("Dec 01, 2009", "Small crash for GOOG after..."),],)
st.altair_chart(chart, use_container_width=True)