DHTMLX Gantt VS echarts

For instance, the current unstable political and economic situation in the world certainly makes investors very cautious about financing any web project. It can be a serious problem for startups, where lack or shortage of investments often turn out to be an insurmountable obstacle. This year, we’ve launched a special DHTMLX discount program to assist startup businesses deliberating over the usage of our products in their apps. This initiative allows startups to purchase top DHTMLX JavaScript UI components (Gantt, Scheduler, Suite) with 70% discounts and benefit from them at the early stages of their web or cloud-based projects. In addition to a huge discount, this program provides personalized technical support and a large base of support materials.

The best part of such apps is that you can shift focus from the front-end part of the app and focus on server-side functionality. You can, for example, use the Webix Gantt Chart or DHTMLX Gantt widget to build the UI with minimum effort and use the saved time to write the back-end code. And there’s a lot you can do here. You must create multiple user groups with different access levels representing the hierarchy of an organization for which the app is intended for. Say project managers must be able to create tasks for different teams, and team leaders must have access to functions allowing them to distribute tasks among the employees. All app users must receive notifications regarding tasks they must complete. Calculating the number of working hours required to complete all the tasks, highlighting the critical path on the Gantt chart, or implementing different types of dependencies between tasks are additional features you can work on.

Both of our new products share similar APIs and UI design approaches, thus it should be really easy for web developers to use them in a single productivity app. Moreover, the To Do List can be smoothly integrated with our advanced Gantt chart component for more effective project management.

DHTMLX Gantt is a mature and developer-friendly JavaScript library for creating Gantt charts of any complexity and with any number of tasks. With this tool at hand, you can easily add a Gantt chart to any web app and equip it with the right features to cover all of your project management needs. High working loads like 30 000+ tasks and the use of advanced features won’t downgrade the DHTMLX Gantt performance due to dynamic loading and smart rendering.

DHTMLX Gantt is one of the most complete JavaScript libraries for developing Gantt charts. It offers a wide variety of time configuration features for the timeline where users can schedule tasks, allocate them between team members, and monitor their completion.

We are right to code a Gantt diagram for a personal management APP. However, there's no any suitable implementation found so fa. The closest one might be DHTMLX/gantt. Well, the free version of DHTMLX/gantt is limited in too many ways, while its enterprise version is too expensive for $3499.

As an answer to the challenges of the last twelve months, the company continued our course on providing full-featured and easily customizable JS tools for project management. DHTMLX released a JavaScript Kanban Board designed to help project managers with workflow visualization. The great thing about this tool is that it can be easily integrated with DHTMLX Gantt and Scheduler components in a single app for covering most of project management needs.

It can also be very helpful to make your app compatible with Microsoft Project since it is a widely-used project management instrument. This feature is supported by some libraries such as DHTMLX JavaScript Gantt chart.

You may improve your Kanban experience and create a comprehensive project management solution by combining several products. Thus, for example, you may consider using DHTMLX Gantt chart or Scheduler event calendar.

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`); } })();

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/

Coded mainly in Perl and Gnuplot, recently extended by Python Pandas and JavaScript Tabulator and ECharts

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.

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 .

apache-echarts for charting system (it has 3d chart anyway)

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.

ECharts -- open source js lib for enterprise-grade charts