A Streamlit component to render ECharts.

Overview

Streamlit - ECharts

Streamlit App

A Streamlit component to display ECharts.

Install

pip install streamlit-echarts

Usage

This library provides 2 functions to display echarts :

  • st_echarts to display charts from ECharts json options as Python dicts
  • st_pyecharts to display charts from Pyecharts instances

Check out the demo and source code for more examples.

st_echarts example

from streamlit_echarts import st_echarts

options = {
    "xAxis": {
        "type": "category",
        "data": ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"],
    },
    "yAxis": {"type": "value"},
    "series": [
        {"data": [820, 932, 901, 934, 1290, 1330, 1320], "type": "line"}
    ],
}
st_echarts(options=options)

st_pyecharts example

from pyecharts import options as opts
from pyecharts.charts import Bar
from streamlit_echarts import st_pyecharts

b = (
    Bar()
    .add_xaxis(["Microsoft", "Amazon", "IBM", "Oracle", "Google", "Alibaba"])
    .add_yaxis(
        "2017-2018 Revenue in (billion $)", [21.2, 20.4, 10.3, 6.08, 4, 2.2]
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title="Top cloud providers 2018", subtitle="2017-2018 Revenue"
        ),
        toolbox_opts=opts.ToolboxOpts(),
    )
)
st_pyecharts(b)

API

st_echarts API

st_echarts(
    options: Dict
    theme: Union[str, Dict]
    events: Dict[str, str]
    height: str
    width: str
    renderer: str
    map: Map
    key: str
)
  • options : Python dictionary that resembles the JSON counterpart of echarts options. For example the basic line chart in JS :
// JS code
option = {
  xAxis: {
    type: "category",
    data: ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"],
  },
  yAxis: { type: "value" },
  series: [{ data: [820, 932, 901, 934, 1290, 1330, 1320], type: "line" }],
};

is represented in Python :

# Python code
option = {
    "xAxis": {
        "type": "category",
        "data": ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"],
    },
    "yAxis": { "type": "value" },
    "series": [
        {"data": [820, 932, 901, 934, 1290, 1330, 1320], "type": "line" }
    ],
}
  • theme : echarts theme. You can specify built-int themes or pass over style configuration as a Python dict.
  • events : Python dictionary which maps an event to a Js function as string. For example :
{
    "click": "function(params) { console.log(params.name) }"
}

will get mapped to :

myChart.on("click", function (params) {
  console.log(params.name);
});

Return values from events are sent back to Python, for example:

option = {
    "xAxis": {
        "type": "category",
        "data": ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"],
    },
    "yAxis": { "type": "value" },
    "series": [
        {"data": [820, 932, 901, 934, 1290, 1330, 1320], "type": "line" }
    ],
}
events = {
    "click": "function(params) { console.log(params.name); return params.name }",
    "dblclick":"function(params) { return [params.type, params.name, params.value] }"
}
value = st_echarts(option, events=events)
st.write(value)  # shows name on bar click and type+name+value on bar double click

The JS code needs to be a one-liner. You can use Javascript minifiers like https://javascript-minifier.com/ or https://www.minifier.org/ to transform your Javascript code to a one-liner.

  • height / width : size of the div wrapper
  • map : register a map using the dedicated Map class
from streamlit_echarts import Map
with open("USA.json", "r") as f:
    map = Map(
        "USA",
        json.loads(f.read()),
        {
            "Alaska": {"left": -131, "top": 25, "width": 15},
            "Hawaii": {"left": -110, "top": 28, "width": 5},
            "Puerto Rico": {"left": -76, "top": 26, "width": 2},
        },
    )
options = {...}
st_echarts(options, map=map)

You'll find a lot of GeoJSON data inside the source code of echarts-countries-js.

  • renderer : SVG or canvas
  • key : assign a fixed identity if you want to change its arguments over time and not have it be re-created.

st_pyecharts API

def st_pyecharts(
    chart: Base
    theme: Union[str, Dict]
    events: Dict[str, str]
    height: str
    width: str
    renderer: str
    map: Map
    key: str
)
  • chart : Pyecharts instance

The docs for the remaining inputs are the same as its st_echarts counterpart.

Development

Install

  • JS side
cd frontend
npm install
  • Python side
conda create -n streamlit-echarts python=3.7
conda activate streamlit-echarts
pip install -e .

Run

Both webpack dev server and Streamlit need to run for development mode.

  • JS side
cd frontend
npm run start
  • Python side

Demo example is on https://github.com/andfanilo/streamlit-echarts-demo.

git clone https://github.com/andfanilo/streamlit-echarts-demo
cd streamlit-echarts-demo/
streamlit run app.py

Caveats

Theme definition

  • Defining the theme in Pyecharts when instantiating chart like Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)) does not work, you need to call theme in st_pyecharts(c, theme=ThemeType.LIGHT).

On Javascript functions

This library also provides the JsCode util class directly from pyecharts.

This class is used to indicate javascript code by wrapping it with a specific placeholder. On the custom component side, we parse every value in options looking for this specific placeholder to determine whether a value is a JS function.

As such, if you want to pass JS functions as strings in your options, you should use the corresponding JsCode module to wrap code with this placeholder :

  • In Python dicts representing the JSON option counterpart, wrap any JS string function with streamlit_echarts.JsCode by calling JsCode(function).jscode. It's a smaller version of pyecharts.commons.utils.JsCode so you don't need to install pyecharts to use it.
series: [
    {
        type: 'scatter', // this is scatter chart
        itemStyle: {
            opacity: 0.8
        },
        symbolSize: JsCode("function (val) { return val[2] * 40;}").js_code,
        data: [["14.616","7.241","0.896"],["3.958","5.701","0.955"],["2.768","8.971","0.669"],["9.051","9.710","0.171"],["14.046","4.182","0.536"],["12.295","1.429","0.962"],["4.417","8.167","0.113"],["0.492","4.771","0.785"],["7.632","2.605","0.645"],["14.242","5.042","0.368"]]
    }
]
  • In Pyecharts, use pyecharts.commons.utils.JsCode directly, JsCode automatically calls .jscode when dumping options.
.set_series_opts(
        label_opts=opts.LabelOpts(
            position="right",
            formatter=JsCode(
                "function(x){return Number(x.data.percent * 100).toFixed() + '%';}"
            ),
        )
    )

Note: you need the JS string to be on one-line. You can use Javascript minifiers like https://javascript-minifier.com/ or https://www.minifier.org/ to transform your Javascript code to a one-liner.

st_pyecharts VS using pyecharts with components.html

While this package provides a st_pyecharts method, if you're using pyecharts you can directly embed your pyecharts visualization inside st.html by passing the output of the chart's .render_embed().

from pyecharts.charts import Bar
from pyecharts import options as opts
import streamlit.components.v1 as components

c = (Bar()
    .add_xaxis(["Microsoft", "Amazon", "IBM", "Oracle", "Google", "Alibaba"])
    .add_yaxis('2017-2018 Revenue in (billion $)', [21.2, 20.4, 10.3, 6.08, 4, 2.2])
    .set_global_opts(title_opts=opts.TitleOpts(title="Top cloud providers 2018", subtitle="2017-2018 Revenue"),
                     toolbox_opts=opts.ToolboxOpts())
    .render_embed() # generate a local HTML file
)
components.html(c, width=1000, height=1000)

Using st_pyecharts is still something you would want if you need to change data regularly without remounting the component, check for examples examples/app_pyecharts.py for Chart with randomization example.

Credits

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Comments
  • Add event back to python

    Add event back to python

    It would be great if events could be sent back to python to add some interactions on graphs

    events = {"click": "function(params, echarts) {console.log(params);Streamlit.setComponentValue(params)}"}
    
    something = st_pyecharts(b, events=events)
    st.text(something)
    
    

    I understand that Streamlit object is no longer available after component has been rendered. May be the onclick could be defined as the default behavior of the component ?

    Thanks

    opened by nathalieguillemain 6
  • Add wordcloud extension

    Add wordcloud extension

    1、if like this , it donot work b = ( WordCloud() .add(series_name="xxx", data_pair=data) ) st_pyecharts(b)

    2、like this, it works b = ( WordCloud() .add(series_name="xxx", data_pair=data, word_size_range=[6, 66]) .render_embed() ) components.html(b, width=1000, height=1000)

    opened by datalee 4
  • Adding support for events back

    Adding support for events back

    hi, I tried several code on adding support for events back to python. without API interface changing. usage like this on python side: add return statements after other js code.

      events={
        "click": "function(params) {alert(params.name); return params.name }"
      }
      s=st_pyecharts(b,events=events)
    

    and s is the value when designated events triggered.

    please help taking a look. thx

    Bright Xie

    opened by brightxml 3
  • echarts.graphic.LinearGradient not working

    echarts.graphic.LinearGradient not working

    color: new echarts.graphic.LinearGradient(
                        0, 0, 0, 1,
                        [
                            {offset: 0, color: '#83bff6'},
                            {offset: 0.5, color: '#188df0'},
                            {offset: 1, color: '#188df0'}
                        ]
                    )
    

    doesn't work. I suppose the echarts namespace was minified and doesn't exist anymore?

    https://echarts.apache.org/examples/en/editor.html?c=bar-gradient

    opened by andfanilo 3
  • Add Timeline, 3D, dataZoom demo

    Add Timeline, 3D, dataZoom demo

    Hello, thank you for incrediable job! Is it possible to add these demos:

    • Timeline, like this https://echarts.apache.org/examples/zh/editor.html?c=scatter-life-expectancy-timeline
    • dataZoom, like this https://echarts.apache.org/examples/zh/editor.html?c=custom-ohlc
    • 3D plot, like this https://echarts.apache.org/examples/zh/editor.html?c=scatter3d&gl=1&theme=dark
    opened by EricJoung1997 2
  •   readd support for event back to python after useEffect commit

    readd support for event back to python after useEffect commit

    hi, sorry a little late, fix git problems with version confict... I add codes after your version. and I found that ,we can get multi parameter value back using [] , which may support various end-user need. please take a look, thanks!

    add support for event back to python usage at python side:

    events={
      "click": "function(params) { alert(params.name);return params.name }",
      "dblclick":"function(params) { return params.value }"
    }
    s=st_pyecharts(b,events=events)
    

    or,

    events={
      "click": "function(params) { return [params.name,params.value] }"    
    }
    s=st_pyecharts(b,events=events)
    
    opened by brightxml 2
  • Render html from st_echarts (not st_pyecharts)

    Render html from st_echarts (not st_pyecharts)

    This package is really great! The st_echarts is even better than pyecharts! Because it is much more versatile, and we can use the echarts.js documentation as reference! Which was the main advantage of using R over Python for echarts. Is it possible to render local html from st_echarts? So we can use it in general not just with streamlit..

    Kinds Regards,

    opened by Filhomn 1
  • ⬆️ Bump url-parse from 1.4.7 to 1.5.7 in /streamlit_echarts/frontend

    ⬆️ Bump url-parse from 1.4.7 to 1.5.7 in /streamlit_echarts/frontend

    Bumps url-parse from 1.4.7 to 1.5.7.

    Commits
    • 8b3f5f2 1.5.7
    • ef45a13 [fix] Readd the empty userinfo to url.href (#226)
    • 88df234 [doc] Add soft deprecation notice
    • 78e9f2f [security] Fix nits
    • e6fa434 [security] Add credits for incorrect handling of userinfo vulnerability
    • 4c9fa23 1.5.6
    • 7b0b8a6 Merge pull request #223 from unshiftio/fix/at-sign-handling-in-userinfo
    • e4a5807 1.5.5
    • 193b44b [minor] Simplify whitespace regex
    • 319851b [fix] Remove CR, HT, and LF
    • Additional commits viewable in compare view

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    dependencies 
    opened by dependabot[bot] 1
  • ⬆️ Bump follow-redirects from 1.11.0 to 1.14.7 in /streamlit_echarts/frontend

    ⬆️ Bump follow-redirects from 1.11.0 to 1.14.7 in /streamlit_echarts/frontend

    Bumps follow-redirects from 1.11.0 to 1.14.7.

    Commits
    • 2ede36d Release version 1.14.7 of the npm package.
    • 8b347cb Drop Cookie header across domains.
    • 6f5029a Release version 1.14.6 of the npm package.
    • af706be Ignore null headers.
    • d01ab7a Release version 1.14.5 of the npm package.
    • 40052ea Make compatible with Node 17.
    • 86f7572 Fix: clear internal timer on request abort to avoid leakage
    • 2e1eaf0 Keep Authorization header on subdomain redirects.
    • 2ad9e82 Carry over Host header on relative redirects (#172)
    • 77e2a58 Release version 1.14.4 of the npm package.
    • Additional commits viewable in compare view

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    dependencies 
    opened by dependabot[bot] 1
  • Chart Height is constant even when setting its height with in initOpts

    Chart Height is constant even when setting its height with in initOpts

    charts are outputted in streamlit app in constant size which makes them sometimes unreadable.

    c = Line(init_opts=opts.InitOpts(theme=ThemeType.DARK, height='1600px', width='1600px'))
    

    image

    unlike the stock visualization components of streamlit, the echarts components doesn't have the 'extend' button which the other components have and enables full screen view of the chart.

    I know that this probably a streamlit related issue rather than to this package, however - if there is a way to force the chart height or at least add a full screen view option that will be great.

    Thanks

    opened by avivazran 1
  • Does Pyecharts Map chart need to follow echarts sample

    Does Pyecharts Map chart need to follow echarts sample

    python3.6.3 streamlit 0.82.0 streamlit-echarts 0.3.0

    on Pyecharts, the MAP chart can be loaded

    from pyecharts.charts import Map
    from pyecharts.faker import Faker
    from pyecharts import options as opts
    
    demoMap = Map(init_opts=opts.InitOpts(bg_color='white'))
    demoMap.add("Demo", [list(z) for z in zip(Faker.country, Faker.values())], "world")
    demoMap.render("demo.html")
    

    Using streamlit-echarts, the same cannot load the map but just I can see chart legend in streamlit, just no map is shown nor error msg.

    st_pyecharts(chart=demoMap)
    

    Does it need to follow echarts sample, e.g. load JSON file, etc because pyecharts has simplified those geo data already.

    There is no issue to load Bar chart and its content in streamlit.

    thank you

    opened by franklighter 1
  • ⬆️ Bump json5 from 1.0.1 to 1.0.2 in /streamlit_echarts/frontend

    ⬆️ Bump json5 from 1.0.1 to 1.0.2 in /streamlit_echarts/frontend

    Bumps json5 from 1.0.1 to 1.0.2.

    Release notes

    Sourced from json5's releases.

    v1.0.2

    • Fix: Properties with the name __proto__ are added to objects and arrays. (#199) This also fixes a prototype pollution vulnerability reported by Jonathan Gregson! (#295). This has been backported to v1. (#298)
    Changelog

    Sourced from json5's changelog.

    Unreleased [code, diff]

    v2.2.3 [code, diff]

    v2.2.2 [code, diff]

    • Fix: Properties with the name __proto__ are added to objects and arrays. (#199) This also fixes a prototype pollution vulnerability reported by Jonathan Gregson! (#295).

    v2.2.1 [code, diff]

    • Fix: Removed dependence on minimist to patch CVE-2021-44906. (#266)

    v2.2.0 [code, diff]

    • New: Accurate and documented TypeScript declarations are now included. There is no need to install @types/json5. (#236, #244)

    v2.1.3 [code, diff]

    • Fix: An out of memory bug when parsing numbers has been fixed. (#228, #229)

    v2.1.2 [code, diff]

    ... (truncated)

    Commits

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    dependencies 
    opened by dependabot[bot] 0
  • ⬆️ Bump qs from 6.5.2 to 6.5.3 in /streamlit_echarts/frontend

    ⬆️ Bump qs from 6.5.2 to 6.5.3 in /streamlit_echarts/frontend

    Bumps qs from 6.5.2 to 6.5.3.

    Changelog

    Sourced from qs's changelog.

    6.5.3

    • [Fix] parse: ignore __proto__ keys (#428)
    • [Fix] utils.merge: avoid a crash with a null target and a truthy non-array source
    • [Fix] correctly parse nested arrays
    • [Fix] stringify: fix a crash with strictNullHandling and a custom filter/serializeDate (#279)
    • [Fix] utils: merge: fix crash when source is a truthy primitive & no options are provided
    • [Fix] when parseArrays is false, properly handle keys ending in []
    • [Fix] fix for an impossible situation: when the formatter is called with a non-string value
    • [Fix] utils.merge: avoid a crash with a null target and an array source
    • [Refactor] utils: reduce observable [[Get]]s
    • [Refactor] use cached Array.isArray
    • [Refactor] stringify: Avoid arr = arr.concat(...), push to the existing instance (#269)
    • [Refactor] parse: only need to reassign the var once
    • [Robustness] stringify: avoid relying on a global undefined (#427)
    • [readme] remove travis badge; add github actions/codecov badges; update URLs
    • [Docs] Clean up license text so it’s properly detected as BSD-3-Clause
    • [Docs] Clarify the need for "arrayLimit" option
    • [meta] fix README.md (#399)
    • [meta] add FUNDING.yml
    • [actions] backport actions from main
    • [Tests] always use String(x) over x.toString()
    • [Tests] remove nonexistent tape option
    • [Dev Deps] backport from main
    Commits
    • 298bfa5 v6.5.3
    • ed0f5dc [Fix] parse: ignore __proto__ keys (#428)
    • 691e739 [Robustness] stringify: avoid relying on a global undefined (#427)
    • 1072d57 [readme] remove travis badge; add github actions/codecov badges; update URLs
    • 12ac1c4 [meta] fix README.md (#399)
    • 0338716 [actions] backport actions from main
    • 5639c20 Clean up license text so it’s properly detected as BSD-3-Clause
    • 51b8a0b add FUNDING.yml
    • 45f6759 [Fix] fix for an impossible situation: when the formatter is called with a no...
    • f814a7f [Dev Deps] backport from main
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  • ⬆️ Bump decode-uri-component from 0.2.0 to 0.2.2 in /streamlit_echarts/frontend

    ⬆️ Bump decode-uri-component from 0.2.0 to 0.2.2 in /streamlit_echarts/frontend

    Bumps decode-uri-component from 0.2.0 to 0.2.2.

    Release notes

    Sourced from decode-uri-component's releases.

    v0.2.2

    • Prevent overwriting previously decoded tokens 980e0bf

    https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.1...v0.2.2

    v0.2.1

    • Switch to GitHub workflows 76abc93
    • Fix issue where decode throws - fixes #6 746ca5d
    • Update license (#1) 486d7e2
    • Tidelift tasks a650457
    • Meta tweaks 66e1c28

    https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.0...v0.2.1

    Commits

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    dependencies 
    opened by dependabot[bot] 0
  • ⬆️ Bump loader-utils and react-scripts in /streamlit_echarts/frontend

    ⬆️ Bump loader-utils and react-scripts in /streamlit_echarts/frontend

    Bumps loader-utils to 2.0.4 and updates ancestor dependency react-scripts. These dependencies need to be updated together.

    Updates loader-utils from 1.2.3 to 2.0.4

    Release notes

    Sourced from loader-utils's releases.

    v2.0.4

    2.0.4 (2022-11-11)

    Bug Fixes

    v2.0.3

    2.0.3 (2022-10-20)

    Bug Fixes

    • security: prototype pollution exploit (#217) (a93cf6f)

    v2.0.2

    2.0.2 (2021-11-04)

    Bug Fixes

    • base64 generation and unicode characters (#197) (8c2d24e)

    v2.0.1

    2.0.1 (2021-10-29)

    Bug Fixes

    v2.0.0

    2.0.0 (2020-03-17)

    ⚠ BREAKING CHANGES

    • minimum required Node.js version is 8.9.0 (#166) (c937e8c)
    • the getOptions method returns empty object on empty query (#167) (b595cfb)
    • Use md4 by default

    v1.4.2

    1.4.2 (2022-11-11)

    Bug Fixes

    ... (truncated)

    Changelog

    Sourced from loader-utils's changelog.

    2.0.4 (2022-11-11)

    Bug Fixes

    2.0.3 (2022-10-20)

    Bug Fixes

    • security: prototype pollution exploit (#217) (a93cf6f)

    2.0.2 (2021-11-04)

    Bug Fixes

    • base64 generation and unicode characters (#197) (8c2d24e)

    2.0.1 (2021-10-29)

    Bug Fixes

    2.0.0 (2020-03-17)

    ⚠ BREAKING CHANGES

    • minimum required Node.js version is 8.9.0 (#166) (c937e8c)
    • the getOptions method returns empty object on empty query (#167) (b595cfb)
    • Use md4 by default

    1.4.0 (2020-02-19)

    Features

    • the resourceQuery is passed to the interpolateName method (#163) (cd0e428)

    1.3.0 (2020-02-19)

    ... (truncated)

    Commits

    Updates react-scripts from 3.4.1 to 5.0.1

    Changelog

    Sourced from react-scripts's changelog.

    3.4.4 (2020-10-20)

    v3.4.4 release bumps resolve-url-loader to a version for which npm audit does not report a vulnerability. Note that this vulnerability did not affect Create React App projects, so this change is only necessary to satisfy auditing tools.

    Migrating from 3.4.3 to 3.4.4

    Inside any created project that has not been ejected, run:

    npm install --save --save-exact [email protected]
    

    or

    yarn add --exact [email protected]
    

    3.4.3 (2020-08-12)

    v3.4.3 release bumps terser-webpack-plugin to a version for which npm audit does not report a vulnerability. Note that this vulnerability did not affect Create React App projects, so this change is only necessary to satisfy auditing tools.

    Migrating from 3.4.2 to 3.4.3

    Inside any created project that has not been ejected, run:

    npm install --save --save-exact [email protected]
    

    or

    yarn add --exact [email protected]
    

    3.4.2 (2020-08-11)

    v3.4.2 release bumps webpack-dev-server to a version for which npm audit does not report a vulnerability. Note that this vulnerability did not affect Create React App projects, so this change is only necessary to satisfy auditing tools.

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    dependencies 
    opened by dependabot[bot] 0
  • st_echarts are not visualized in multitabs

    st_echarts are not visualized in multitabs

    Note: published on Stackoverflow

    I want a 4-tab page in Streamlit: 2 echarts + 2 plotly.

    Why is any echart plot (but the first) not visualized, while plotly's ones are ok?

    (The real app needs a Sankey with special features that only Echarts can provide, so using another library (after extensive research) is not feasible: as in this stripped down example, only the first Sankey is visualised, not the next ones, as echarts "forgets" to refresh the visualisation after switching the tab)

    import streamlit as st
    from streamlit_echarts import st_echarts
    import plotly.figure_factory as ff
    import numpy as np
    
    tab1, tab2, tab3, tab4 = st.tabs(["echarts_tab1", "echarts_tab2", "plotly_tab3", "plotly_tab4"])
    
    def echarts_random_options():
        return {
            "xAxis": {"type": "category", "data": ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]},
            "yAxis": {"type": "value"},
            "series": [
                {"data": list(np.random.random(size=7) * 800),
                 "type": "line"}
            ],
        }
    
    def plotly_random_fig():
        return ff.create_distplot([np.random.randn(200)], ["values"], bin_size=[.1, .25, .5])
    
    with tab1:
        st_echarts(options=echarts_random_options())
        
    with tab2:
        st_echarts(options=echarts_random_options())
        
    with tab3:
        st.plotly_chart(plotly_random_fig(), use_container_width=True)
    
    with tab4:
        st.plotly_chart(plotly_random_fig(), use_container_width=True)
    
    opened by Nemecsek 3
  • GitHub Discussions feature request

    GitHub Discussions feature request

    Could @andfanilo you please turn on the GH Discussions where questions and other non-issue stuff could be discussed? It may act as a community booster as well :)

    Thanks

    opened by AdamJel 0
Releases(v0.4.0)
Owner
Fanilo Andrianasolo
Data Science & BI Specialist @worldline. @streamlit Creator/Moderator. Starting my Content Creator journey
Fanilo Andrianasolo
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