Mongoose
SheetJS js-xlsx
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Mongoose | SheetJS js-xlsx | |
---|---|---|
108 | 61 | |
26,534 | 34,370 | |
0.6% | 0.6% | |
10.0 | 4.9 | |
7 days ago | about 2 months ago | |
JavaScript | JavaScript | |
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.
Mongoose
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OAuth 2.0 implementation in Node.js
To manage user auth we need to create a user account - identification. So, let's install mongoose and jsonwebtoken to handle JWT authentication - an alternative to creating a user session when a user logs in
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querySrv errors when connecting to MongoDB Atlas
If your application uses MongoDB's Node.js driver or Mongoose ODM, occasionally you may observe errors such as querySrv ECONNREFUSED _mongodb._tcp.cluster0.abcde.mongodb.net or Error: querySrv ETIMEOUT _mongodb._tcp.cluster0.abcde.mongodb.net being thrown. The MongoDB Atlas documentation outlines several methods to troubleshoot connection issues, including how to handle "Connection Refused using SRV Connection String" scenarios, but why does this happen in the first place?
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NodeJS Security Best Practices
If you use Sequalize, TypeORM or for MongoDB, we have Mongoose these types of ORM tools, then you are safe by default because these help us against the SQL query injection attacks by default.
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How to Build a Blog API using MongoDB Aggregation Pipeline
Now that we have created a new MongoDB deployment and saved the connection string in .env file, we would enter the code below to connect to MongoDB database through mongoose. Then, open db.js and enter this code:
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Unlocking efficient authZ with Cerbos’ Query Plan
To simplify this process, Cerbos developers have come up with adapters for popular Object-Relational Mapping (ORM) frameworks. You can check out for more details on the query plan repo - which also contains adapters for Prisma and SQLAlchemy - as well as a fully functioning application using Mongoose as its ORM.
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Complete Guide to Authentication in JavaScript
After importing the mongoose module, use the [mongoose.connect()](https://mongoosejs.com/docs/api/mongoose.html#mongoose_Mongoose-connect) function to connect to the database. The first argument is the connection string, and the second argument is an object that contains the options, which are used to configure the connection. The above code logs the message, MongoDB connection is established successfully! 🎉, once the connection is successful.
- Open source public fund experiment - One and a half years update
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Full Stack To Do list, a step-by-step tutorial
Helmet helps “sanitise” the input, which might not have come from the UI directly. Mongoose is what is known as an Object Document Modelling (ODM), which defines a structure (schema) for the stored data, making it easier to manage in Express. These additions have been omitted from our example stack purely to simplify the tutorial and focus on the fundamental tiers and interfaces.
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Mitigate the hidden security risks of open source software libraries
You can check libraries in many ways. A good starting point is probably the package manager you are using in your application. In the case of Node.js, it is probably NPM. For example, if you want to check the mongoose library and look at some data points, you can head over to https://www.npmjs.com/package/mongoose.
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Database structure
If you did want to use MongoDB, again, people have made long tutorials for how to use mongo with node. The mongoose library is commonly used - https://github.com/Automattic/mongoose
SheetJS js-xlsx
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how to work with .xlsx files?
ExcelJS and XLSX (SheetJS) are great libraries to work with XLSX files. The former I've found a bit easier to work with but less efficient in general.
Sheetjs has worked well for me.
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What kind of Programmer / language should I be looking for?
Sure. I manipulate excel files programatically in the browser all the time. I don't really understand your exact workflow, but I use Javascript with xlsx and React.
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Product Comparison App (JS Demo Project)
xlsx.
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Ask HN: Who is hiring? (February 2023)
SheetJS | https://sheetjs.com/ | Software Developer | Full time, Remote (US) | $165K - $240K
We're a bootstrapped company building open source solutions for spreadsheets and structured data. With over 1.5M unique monthly visitors, companies across the business world turn to us for challenging data processing problems. Over the last 10 years, we have pushed the boundaries of JavaScript and the web.
In this role, you will master new and established technologies while working on high-impact projects used by millions of people across the world. Balancing research and engineering, you will design and implement creative solutions that draw from your academic and professional experience.
https://sheetjs.com/careers/ more details
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PDF, Excel, Docx generate on React and Node js
For more, you can visit xlsx documentation Link.
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Active data pull from excel to html charts
There are libraries like https://github.com/SheetJS/sheetjs to parse excel and https://www.chartjs.org/ for all kinds of charts/graphs. Not really much HTML involved here.. the markup gets generated by the chart library.
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Why Use Make
We've used Make for more than 10 years in our open source JS projects (e.g. https://github.com/SheetJS/sheetjs/blob/github/Makefile ). In 2012 it was a controversial decision given the proliferation of JS task runners and build tooling like Jake and Cake and Grunt and Gulp.
Many of the proposed alternatives "came and went". Others have seen massive breaking changes that force users to roll back to unsupported versions of NodeJS or other software (not too dissimilar to maintaining a Windows XP machine to run old versions of software). But the Makefiles from 2013 still work in 2023.
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The World Cup of Microsoft Excel
The hardest unsolved problem is document compatibility. It's not enough to have a cool tool -- you need to be able to interchange data with existing users of Excel and other workflows. This was an important piece during Excel's journey to overtake Lotus 1-2-3.
We (https://sheetjs.com/) have been looking into document compatibility for 10 years (celebrating our 10 year birthday this week!), and our eponymous open source project https://github.com/sheetjs/sheetjs is used by companies large and small. It's not a particularly glamorous subject and doesn't tend to electrify people in the same way as build tools or frameworks.
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There are ways to improve upon the space, but the problem is that the world has changed. Excel was designed to be the "center of the universe", a creative substrate that bypassed org security policies and enabled extremely flexible line of business tools. Excel was designed to be used by one user at a time, with fundamental inconsistencies blocked at the UI level (for example, try entering a bad custom number format). This made sense 20 years ago, but it doesn't make as much sense now.
The current crop of SaaS companies effectively monetize access to the data. They aren't incentivized to make it easy to export metadata back to Excel -- they want to keep you using the software. This runs at odds with the data portability and freedom that is needed for a successful replacement.
Whatever will replace Excel won't be a facsimile of the current tooling (what Google and Apple are trying to do), nor will it be a siloed experience (what the myriad of SaaS apps are trying to do).
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Spidergram is a collection of tools my company Autogram has built or enabled over the past several years to support our work to automate content inventories for large websites: it's part web crawler, part domain model, and part mad science. We released the first public beta today.
SheetJS for quickly generating complex reports in the familiar "workbook full of spreadsheets" style.
What are some alternatives?
TypeORM - ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.
ExcelJS - Excel Workbook Manager
Prisma - Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Sequelize - Feature-rich ORM for modern Node.js and TypeScript, it supports PostgreSQL (with JSON and JSONB support), MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB (v6), DB2 and DB2 for IBM i.
HANDSONTABLE - JavaScript data grid with a spreadsheet look & feel. Works with React, Angular, and Vue. Supported by the Handsontable team ⚡
MikroORM - TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.
Jspreadsheet CE - Jspreadsheet is a lightweight vanilla javascript plugin to create amazing web-based interactive tables and spreadsheets compatible with other spreadsheet software.
Luckysheet - Luckysheet is an online spreadsheet like excel that is powerful, simple to configure, and completely open source.
ag-Grid - The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.
Bookshelf - A simple Node.js ORM for PostgreSQL, MySQL and SQLite3 built on top of Knex.js
React Data Grid - Feature-rich and customizable data grid React component
Mongorito - 🍹 MongoDB ODM for Node.js apps based on Redux