Apache ECharts

1. superset

   1 149 66,725 9.9 Jupyter Notebook

   Apache Superset is a Data Visualization and Data Exploration Platform

   

   Superset[1] BI tool is a good example of how useful ECharts are

   [1] https://superset.apache.org/

2. InfluxDB

   www.influxdata.com featured

   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.

   

3. plot

   2 46 4,834 7.3 HTML

   A concise API for exploratory data visualization implementing a layered grammar of graphics

   

   There's Plot, which is as standalone as anything [0]. That said, I still find D3 unparalleled in depth and coverage.

   [0]: https://github.com/observablehq/plot

4. echarts

   3 21 63,777 9.0 TypeScript

   Apache ECharts is a powerful, interactive charting and data visualization library for browser

   

   We have been using Apache ECharts in our products[1] since 2020.

   Cannot recommend it enough - absolutely fantastic library, great documentation, zero issues of any impact to us in five years.

   My only wish is for the keyboard accessibility ticket[2] to get some love!

   [1] https://factorhouse.io

   [2] https://github.com/apache/echarts/issues/14706

5. awesome-bio-datasets

   4 1 228 -

   awesome-bio-datasets

   

6. crabwalk

   5 11 52 7.3 Rust

   SQL transformation tool for DuckDB written in Rust

   

   we use eCharts for all the visualizations in https://www.definite.app/.

   We evaluated pretty much every option and it's the best non-react option. Recharts honestly seems a little nicer if you're using React, but our frontend is in Vue.

7. Chart.js

   6 204 66,084 7.8 JavaScript

   Simple HTML5 Charts using the <canvas> tag

   

8. layercake

   7 7 1,597 9.0 Svelte

   graphics framework for sveltejs

   

   In the same vein, I've long had a soft-spot for the JS-less https://pancake-charts.surge.sh/ (developed by NYT graphics team and used for the covid charts).

   Its successor is https://layercake.graphics/ which shows how interactive server-rendered SVG can be.

9. SaaSHub

   www.saashub.com featured

   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

10. d3

    8 293 110,876 6.3 Shell

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

    

11. react-echarts

    9 1 129 7.2 TypeScript

    🐳 ECharts for React

    

    I was just looking into charting libraries for React/React Native and Apache ECharts seems like the best contender for cross-platform data visualization. The libraries that I came across, react-echarts (https://github.com/hugocxl/react-echarts) and react-native-echarts (https://github.com/wuba/react-native-echarts), both seem to be actively developed as well.

12. react-native-echarts

    10 19 852 7.8 TypeScript

    📈 React Native ECharts Library: An awesome charting library for React Native, built upon Apache ECharts and leveraging react-native-svg and react-native-skia. Offers significantly better performance compared to WebView-based solutions.

    

    I was just looking into charting libraries for React/React Native and Apache ECharts seems like the best contender for cross-platform data visualization. The libraries that I came across, react-echarts (https://github.com/hugocxl/react-echarts) and react-native-echarts (https://github.com/wuba/react-native-echarts), both seem to be actively developed as well.

13. go-echarts

    11 6 7,269 7.9 Go

    🎨 The adorable charts library for Golang.

    

    I'll toss some props to `go-echarts` [1], which allows you to declare charts with Golang types and it all gets bound to JSON automagically by Golang's JSON marshaller. I've used it for many projects and whenever there's an issue/PR, the maintainer responds quickly.

    It's fun to Go-embed JavaScript functions and SQL queries, for this weird blend of data, SQL, Go and Javascript. Here's a Golang example that pulls data from a DuckDB and creates a baked-in candlestick chart file with JavaScript tooltips. [2]

    [1] https://github.com/go-echarts/go-echarts

    [2] https://github.com/NimbleMarkets/dbn-duckduck-goose/blob/mai...

14. dbn-duckduck-goose

    12 2 16 6.7 HTML

    Golang Web Service Example using Databento and DuckDB

    

    I'll toss some props to `go-echarts` [1], which allows you to declare charts with Golang types and it all gets bound to JSON automagically by Golang's JSON marshaller. I've used it for many projects and whenever there's an issue/PR, the maintainer responds quickly.

    It's fun to Go-embed JavaScript functions and SQL queries, for this weird blend of data, SQL, Go and Javascript. Here's a Golang example that pulls data from a DuckDB and creates a baked-in candlestick chart file with JavaScript tooltips. [2]

    [1] https://github.com/go-echarts/go-echarts

    [2] https://github.com/NimbleMarkets/dbn-duckduck-goose/blob/mai...

15. evidence

    13 55 5,293 9.9 JavaScript

    Business intelligence as code: build fast, interactive data visualizations in SQL and markdown

    

    We use ECharts extensively in Evidence (https://github.com/evidence-dev/evidence). Overall has been a delight.

16. egwalker-paper

    14 1 46 8.6 Rust

    Eg-walker paper, experiments and data.

    

    I used Plot for an academic paper I wrote recently. It was the only charting library that I found that let me generate the charts I wanted to draw - which in my case was a grouped bar chart with a logarithmic scale. Ie:

    https://github.com/josephg/egwalker-paper/blob/master/diagra...

    I didn't try echarts though. I might have to give it a go if its good.

17. charming

    15 3 2,282 9.0 Rust

    A visualization library for Rust

    

18. plotly.js

    16 42 17,636 9.7 JavaScript

    Open-source JavaScript charting library behind Plotly and Dash

    

19. echarts-python

    17 1 417 - Python

    Deprecated. Use PyEcharts instead. https://github.com/pyecharts/pyecharts

    

20. pyecharts

    18 3 15,360 6.4 Python

    🎨 Python Echarts Plotting Library

    

21. pandoc-highlight-filter

    19 3 - -

22. d3-selection

    20 3 566 0.0 JavaScript

    Transform the DOM by selecting elements and joining to data.

    

    Can you provide an example? I’ve been using d3 on-and-off for almost 10 years, and the core docs have just gone from README’s to static-hosted pages with the same (version-specific) content (eg https://d3js.org/d3-selection/selecting). What is significantly worse here between the two? To my eyes, they’re basically identical: https://github.com/d3/d3-selection/tree/86

    My best guess is that you’re referring to bl.ocks.org, which hosted d3 examples as standalone html examples, but this was independent from the d3 docs.

23. ASP.NET SAML

    21 15 397 5.5 C#

    Very simple SAML 2.0 consumer module for ASP.NET/C#

    

    That, plus:

    * Echarts is about the only dependency in our project that I can upgrade - and be sure it never breaks anything. It is so well-thought in that regard. Upgrading for 3.x to 5.x? Sure! "npm update" and everything just keeps working smoothly. That is so refreshing to see these days. Unbelievable.

    * It's both SSR-friendly and SPA-friendly. Being mostly vanilla-js, works seamlessly with both react/vue/apline AND with old-school rails/asp.net/php/whatever. Our app is pretty classic SSR (https://www.jitbit.com/) and I can construct my chart's JSON object on a server using some linq-queries and provide that to echarts.

    * ...OR I can give it a reactive object from vue-based SPA. Dun matter, it just works.

    * whenever we have to add some workarounds (like, showing hovering labels on a pie chart with a bold percentages or something) - I never have to dig into their sources. Almost anything has already been figured out. Easily googlable and "LLM-able".

24. Sentry

    22 299 41,137 10.0 Python

    Developer-first error tracking and performance monitoring

    

    Late to the party here but we (Sentry) have been using ECharts since 2018 (https://github.com/getsentry/sentry/pull/9072) and still holding strong!

25. SaaSHub

    www.saashub.com featured

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    

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