sheetjs · HackerTrans

Knuth is also still reviewing TAOCP-related email and issuing reward checks. A teammate received a reward check for 1 hex dollar last month after finding an error in Seminumerical Algorithms. Along with the check, there was a printout of the original email with hand-written annotations.

sheetjs

3년 전discuss

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 1.8M 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

sheetjs

3년 전discuss

Last year, Bing and Edge erroneously flagged our website https://sheetjs.com/ as "dangerous": https://i.imgur.com/BvA3zrk.png

At the time, there was no "Safety Report" to indicate why Bing thought it was dangerous. The report page linked to https://www.bing.com/toolbox/bing-site-safety?url=https%3a%2... and it said "That web page doesn't exist"

To fix it, we had to register with "Bing Webmaster Tools" (https://www.bing.com/webmasters/about) and raise a support ticket.

Within a few days, the issue "resolved itself". It's possible that raising a ticket forced some automatic refresh of the indexed data for the domain.

sheetjs

3년 전discuss

Under the hood, modern Numbers stores values in Decimal128 (16 bytes)

sheetjs

3년 전discuss

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

sheetjs

3년 전discuss

Under the hood, numpy and friends punt to native code. FFI / native module performance becomes a bottleneck, and Bun is correctly focusing in this area. Shumai [1] is a cool library for Bun that also punts to native code

[1] https://github.com/facebookresearch/shumai

sheetjs

3년 전discuss

JavaScript has a massive and unrivaled ecosystem outside of core data analysis. The main hurdle to adoption is ecosystem and community. A generation of applied mathematicians and data scientists were trained on Python. Python overcame older ecosystems like Matlab and Fortran for its ease of use for other general computing tasks (Matlab is a decent language for large array manipulation but soft tasks like string processing are kludgy compared to Python).

In the same way that Python developers are interested in extending their ecosystem to other spaces, JavaScript developers are interested in growing into the data science space. But that doesn't happen unless there's a clear benefit for switching.

What advantages do a native JS solution have over Python? Performance: There are arguably many more developers and companies focused on pure JS performance than python. Community: A JS solution opens up a much larger pool of talent to build innovative solutions. Cost: Running heavy computations client-side, in the web browser, reduces costs for service providers.

PS: We're hiring for this and other related problems https://sheetjs.com/careers

sheetjs

4년 전discuss

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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