What are data apps?

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
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  • InfluxDB - Power Real-Time Data Analytics at Scale
  • Highcharts JS

    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

    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

    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

    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

    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

    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

    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

    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.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • ClickHouse

    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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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