echarts
victory
Our great sponsors
echarts | victory | |
---|---|---|
17 | 24 | |
58,944 | 10,774 | |
1.0% | 0.5% | |
8.7 | 9.1 | |
4 days ago | 17 days ago | |
TypeScript | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
echarts
-
A web crawler program for crawling Echarts official website examples implemented by Puppeter
import puppeteer from "puppeteer"; import fs from "node:fs"; import { storiesTpl, storiesArgs, generOptions, generOptionsWithFn, } from "./template.mjs"; const ECHARTS_BASE_URL = "https://echarts.apache.org/examples/en/index.html"; function capitalizeFirstLetter(str) { if (!str || str.length === 0) { return ""; } str = str.toLowerCase(); return str.charAt(0).toUpperCase() + str.slice(1); } (async function () { const browser = await puppeteer.launch(); const page = await browser.newPage(); // Navigate the page to a URL await page.goto(ECHARTS_BASE_URL); // Set screen size await page.setViewport({ width: 1080, height: 1024 }); // Type into search box // const examples = await page.type([".example-list-panel"]); const searchResultSelector = ".example-list-panel > div"; const results = await page.$$(searchResultSelector); for (const element of results) { // gener namespace const ele = await element.$(".chart-type-head"); const title = await ele.evaluate((el) => el.textContent); let namespace = title.split(" ").filter(Boolean); namespace = namespace.slice(0, namespace.length - 1); namespace = namespace .map((item) => item.replace("\n", "").replace("/", "")) .filter(Boolean) .join(""); console.log(`${namespace} start`); const instances = await element.$$(".row .example-list-item"); const components = []; for (const instance of instances) { // title const titleElement = await instance.$(".example-title"); const subTitle = await titleElement.evaluate((el) => el.textContent); const titles = subTitle .split(" ") .filter(Boolean) .map((item) => item .replace(/\+/g, "") .replace(/\(/g, "") .replace(/\)/g, "") .replace(/-/g, "") ); const title = titles.map((item) => capitalizeFirstLetter(item)).join(""); const link = await instance.$(".example-link"); const newPagePromise = new Promise((resolve) => { browser.on("targetcreated", async (target) => { if (target.type() === "page") { const targetPage = await target.page(); const url = await targetPage.url(); if (url.includes("editor")) { resolve(targetPage); } } }); }); await link.click(); const newPage = await newPagePromise; await newPage.setViewport({ width: 40000, height: 20000 }); await newPage.waitForSelector(".ace_text-layer"); await new Promise((resolve) => { setTimeout(() => { resolve(); }, 3000); }); let content = await newPage.evaluate( () => document.querySelector(".ace_text-layer").innerText ); content = content .replace(/\[\]/g, "[] as any") .replace(//g, "") .replace(/var/g, "let"); let options; if (content.includes("myChart")) { options = generOptionsWithFn({ options: content }); } else { options = generOptions({ options: content }); } components.push({ options, title }); await newPage.close(); } const args = components .filter(({ options }) => { if (options.includes("$")) return false; return true; }) .map(({ options, title }) => storiesArgs({ options: options, name: title }) ) .join("\r\n"); const scripts = storiesTpl({ namespace: `Charts/${namespace}`, components: args, }); fs.writeFileSync(`./bots/assests/${namespace}.stories.ts`, scripts); console.log(`${namespace} end`); } })();
-
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?
[0] https://echarts.apache.org/
-
Personal Sträva Activity Statistics
Coded mainly in Perl and Gnuplot, recently extended by Python Pandas and JavaScript Tabulator and ECharts
-
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.
-
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 .
-
Best practice for UI design in scientific app
apache-echarts for charting system (it has 3d chart anyway)
- [OC] The crude birth rate in European Union from 1960 to 2020
-
Use types (which import other types that reference the DOM) inside a web-worker!
How are you importing the definition? Assuming you are using "apache/echarts" and not some other lib named "echarts", you should be able to import DatasetModel directly and let tree shaking trim out what you're not using.
-
Pulling and visualizing data from a database client side
ECharts -- open source js lib for enterprise-grade charts
- [OC] U.S. Inflation Reach High in 20 Years
victory
-
Level Up Your Web App with Stunning React Charts: Introducing the Top 10 React Charts Libraries
Victory is a set of modular charting components for React and React Native. Victory makes it easy to get started without sacrificing flexibility. Create one of a kind data visualizations with fully customizable styles and behaviors. Victory uses the same API for web and React Native applications for easy cross-platform charting.
-
React Native ECharts VS Victory Native VS React Native Chart Kit, Which solution is better?
Victory Native is a chart library that was developed in 2015. It has been 7 years since its inception. With a high cumulative download count of 7,434,044, it has garnered an impressive 10.3k+ stars on GitHub. It is the longest-standing and most widely used chart library in the history of React Native.
- Victory: React.js components for modular charting and data visualization
-
What chart libraries are ‘modern’?
Anyone use Victory? It looks like it is gaining traction.
-
How to create such chart in React Native?
For convenience of others, here’s a link to Victory Native’s project site (it’s a react.js library with a native version, so be sure to find the native docs).
-
The Top 6 ReactJS Chart Libraries for Data Visualization
Victory is a ReactJS and React Native chart library created by Formidable. It's based on ReactJS and D3, and comes with a slew of fully configurable charts pre-installed.
-
[AskJS] Plotting in js: I don't want to get my hands dirty with d3 - what is the next best alternative
I've enjoyed using Victory - needs React tho: https://formidable.com/open-source/victory/
- My first app - Thought Quality. Take a look!
-
What is the best way to make a chart in react 18 ?
Victory is great, it doesn't officially support React 18 yet, you'll get warnings because the peer version is still looking for React 17, but it shouldn't be an issue if you force install. It's really just that the tests won't work with React 18, but it should be fine to use it in your project.
-
What version of React does Victory support?
They have an open issue for React 18 support, but they are stuck because they are using Enzyme for unit tests (which is effectively obsolete and will likely never work with React 18). So their plan appears to be to move from Enzyme to RTL first and then support React 18.
What are some alternatives?
Chart.js - Simple HTML5 Charts using the <canvas> tag
recharts - Redefined chart library built with React and D3
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
react-chartjs-2 - React components for Chart.js, the most popular charting library
Highcharts JS - Highcharts JS, the JavaScript charting framework
nivo - nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries
vega - A visualization grammar.
visx - 🐯 visx | visualization components
Frappe Gantt - Open Source Javascript Gantt
react-vis - Data Visualization Components
apexcharts.js - 📊 Interactive JavaScript Charts built on SVG
react-timeseries-charts - Declarative and modular timeseries charting components for React