SandDance
echarts
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SandDance | echarts | |
---|---|---|
1 | 16 | |
6,206 | 58,590 | |
0.5% | 1.4% | |
0.0 | 8.9 | |
3 days ago | 7 days ago | |
TypeScript | TypeScript | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SandDance
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Show HN: Vizzu – Open-source charting library focused on animating charts
They wrote a great paper explaining their "Unit Visualization" concept/approach: https://www.microsoft.com/en-us/research/wp-content/uploads/...
IIRC their engine used to be their own in house WebGL code, but according to their GitHub ( https://github.com/Microsoft/SandDance) they are now using Deck.gl (https://deck.gl/) for rendering and Vega for chart logic. I do think it's not designed to be used as a library though but a complete studio like environment.
echarts
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Show HN: Paisa – Open-Source Personal Finance Manager
I want to know where my money goes. I like to look at stacked-area (or column) charts of the categories of spending. To make this work I have some software I made ~20 years ago that does double-entry book-keeping. At the end of the month, I import statements from financial service providers (eg: Wells Fargo, Chase, PayPal, Stripe, etc). Lots of stuff is repeat purchases (eg: Shell Gas) and my software automatically categorises. Some transactions I have to categorise manually. Each category / vendor becomes an expense-account and my banks and CCs exist as assets and liabilities.
Once the import and reconciliation is done I pull up a my column chart that shows where the money went -- and can compare over time -- see a full year of movement. I've been through various charting libraries with it and most recently moved to ECharts[0] -- so I'm planning to expand with Treemap and Sankey style visuals.
The import process, which I do monthly takes maybe an hour. I'm importing from like 5 bank accounts, 3 payment processors, 4 CC providers. The part that takes the longest is signing into their slow sites, navigating past pop-up/interstitial, getting to their download page and waiting for it to download. Loads of these sites (WF, Chase) have been "modernised" and have some real bullshit UI/UX going on -- lags, no keyboard, elements jump around, forms can't remember state, ctrl+click won't open in a new page cause that damned link isn't actually a link but some nested monster of DIVs with 19 event listeners on each one -- and somehow still all wrong.
I think the most-best feature would be to have some tool automatically get all my transactions from all these providers into one common format. Gimmee some JSON with like 10 commonly-named fields for the normal stuff and then 52 other BS fields that each provider likes to add (see a PayPal CSV for example). Does that exist and I just don't know?
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Personal Sträva Activity Statistics
Coded mainly in Perl and Gnuplot, recently extended by Python Pandas and JavaScript Tabulator and ECharts
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Build complex SPAs quickly with vue-element-admin
Dashboards have a lot of charts for different forms and data. This is another common requirement. This template recommends Apache ECharts, a powerful, easy-to-use, and flexible JavaScript visualization library.
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Using Apache ECharts in React Native - wrn-echarts
We have developed an open source graphics library for react native APP, which is based on Apache ECharts and uses RNSVG or RNSkia for rendering in a way that is almost identical to using it in the web, and can satisfy most graphics situations. The project source code is available at https://github.com/wuba/wrn-echarts .
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Best practice for UI design in scientific app
apache-echarts for charting system (it has 3d chart anyway)
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Pulling and visualizing data from a database client side
ECharts -- open source js lib for enterprise-grade charts
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Svelte and Apache ECharts
I'm currently new to using Svelte and I want to try using it with Apache ECharts for data visualization purposes. My only problem is that I seem to have a hard time trying to use the ECharts package in Svelte. Importing the module in a Svelte component seems to result in an error that causes a blank page to render.
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Using Apache ECharts with React and TypeScript
It's a cool data-visualization library like Highcharts, Chart.js, amCharts, Vega-Lite, and numerous others. A lot of companies/products including AWS are using it in production.
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Top 30 Open Source And Paid React Charts + Examples
That chart goes with the Echarts library. It is a React wrapper for Apache Echart, an open-sourced JavaScript visualization tool with 45k stars on GitHub.
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React and D3.js
Although I haven't used Semiotic but Echarts [1] for the last 4 years, I agree with the sentiment. D3 is regularly on top of HN and I always wonder if its popularity is due to people not knowing there are easier alternatives or it's because they really need a library as low-level as D3 for plotting their data.
[1] https://github.com/apache/echarts + https://github.com/hustcc/echarts-for-react
been using echarts for the last 3 years
What are some alternatives?
Chart.js - Simple HTML5 Charts using the <canvas> tag
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Highcharts JS - Highcharts JS, the JavaScript charting framework
vega - A visualization grammar.
Frappe Gantt - Open Source Javascript Gantt
apexcharts.js - 📊 Interactive JavaScript Charts built on SVG
jquery.sparkline - A plugin for the jQuery javascript library to generate small sparkline charts directly in the browser
recharts - Redefined chart library built with React and D3
dc.js - Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
G2Plot - :dango: An interactive and responsive charting library.
DHTMLX Gantt - GPL version of Javascript Gantt Chart
heatmap.js - 🔥 JavaScript Library for HTML5 canvas based heatmaps