What are data apps?

• Highcharts JS

  46 11,820 10.0 TypeScript

  Highcharts JS, the JavaScript charting framework

  

For the high customization expected of an embedded data application, and when front-end teams are looped in, different charting libraries can be used. These range from D3 to Chart.js and Highcharts. These most likely will be natively integrated with frontend application frameworks like React or Angular.

• Chart.js

  183 63,425 7.8 JavaScript

  Simple HTML5 Charts using the <canvas> tag

  

For the high customization expected of an embedded data application, and when front-end teams are looped in, different charting libraries can be used. These range from D3 to Chart.js and Highcharts. These most likely will be natively integrated with frontend application frameworks like React or Angular.

• SurveyJS

  surveyjs.io sponsored

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• appsmith

  233 31,551 10.0 TypeScript

  Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.

  

For the user interface, however, there’s typically less customization required. This creates the opportunity to take advantage of the new category of no code / low code tools like Appsmith and Retool, which can be used to quickly build analytics interfaces.

• streamlit

  254 31,506 9.8 Python

  Streamlit — A faster way to build and share data apps.

  

There also are data application frameworks that are helpful here: tools like Plotly Dash and Streamlit make it possible to turn data scripts into shareable web applications without the need for front-end development.

• dash

  56 20,472 9.6 Python

  Data Apps & Dashboards for Python. No JavaScript Required.

  

There also are data application frameworks that are helpful here: tools like Plotly Dash and Streamlit make it possible to turn data scripts into shareable web applications without the need for front-end development.

• materialize

  117 5,567 10.0 Rust

  The data warehouse for operational workloads. (by MaterializeInc)

  

Naturally, a data application starts with the data—and the basis of the modern data stack is the cloud data warehouse. This can be a general purpose data warehouse like Snowflake or a real-time tool like Firebolt, ClickHouse, or Materialize.

• d3

  277 107,634 8.0 Shell

  Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

  

For the high customization expected of an embedded data application, and when front-end teams are looped in, different charting libraries can be used. These range from D3 to Chart.js and Highcharts. These most likely will be natively integrated with frontend application frameworks like React or Angular.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• ClickHouse

  208 34,153 10.0 C++

  ClickHouse® is a free analytics DBMS for big data

  

Naturally, a data application starts with the data—and the basis of the modern data stack is the cloud data warehouse. This can be a general purpose data warehouse like Snowflake or a real-time tool like Firebolt, ClickHouse, or Materialize.

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