ngrok VS excelize

Project setup and dependency installation. After setting up your Node.js project, on your terminal run npm i googleapis to install googleapis from npm. Add the credentials you created to your .env file: GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET, GMAIL_REDIRECT_URL(during OAuth authentication, google will call this endpoint with the authentication code if successful). The redirect url needs to be a live url on your server's domain, but you can use ngrok to expose your localhost to the internet to enable us to get the redirect during OAuth authentication. Head over to ngrok.com and follow the instructions there to set up ngrok locally. Once you have set up ngrok, the redirect url should be in this format . Eg. https://my-url/call_back_path.

Visita ngrok.com.

before we start, ensure you have: Install termux in your device create a ngrok account ngrok Basic knowledge of terminal commands

Http port forwarding | https://ngrok.com/

Our NestJS application receives webhooks from Ory Hydra, which is running locally. With Ory Network running on the cloud, the application must be accessible via a public URL. To expose your local development environment to the internet, utilize a tunnel service such as Tailscale Funnel, ngrok, webhook.site, or others. This step is crucial for receiving webhooks from Ory Network.

Reverse proxy solutions are a great and straightforward method to expose your dev (and possibly production) server to the internet. The two prominent ones are ngrok and Cloudflare tunnels. This article recommends both of them and compares and contrasts them on a high level.

Download and install ngrok: Head over to https://ngrok.com/ and download the ngrok client for your operating system. Follow the installation instructions.

ngrok 1.0 - Original version of ngrok. No longer developed in favor of the commercial 2.0 version.

Thanks for the history. I maintain this list[0], and wasn't aware of OG localtunnel, likely because there's a somewhat newer and now more popular project with the same name[1]. You appear to be correct on timing. Here's the earliest commits on GitHub for each of the projects:

OG localtunnel (2010): https://github.com/progrium/localtunnel/tree/fb82920d9d3e538...

Other localtunnel (2012): https://github.com/localtunnel/localtunnel/tree/93d62b9dbb9f...

ngrok (2012): https://github.com/inconshreveable/ngrok/tree/8f4795ecac7f92...

I'll see that OG localtunnel gets added to the list for posterity.

[0]: https://github.com/anderspitman/awesome-tunneling

[1]: https://github.com/localtunnel/localtunnel

ngrok

Then I found out that WPS only supports ecma376 standard encrytion for xlsx files. Then I referred to the official documentation and libraries in other languages, such as msoffcrypto-tool written in python. msoffcrypto-tool) and go's excelize. Since I don't know much about encryption and decryption, the process of implementation is also a bit of a twist.

But if you absolutely need xlsx files, I would seek the best library for the job and write this in golang.

Documentation website with multilingual: Arabic, German, Spanish, English, French, Russian, Chinese, Japanese, and Korean, which has been updated

Golang excel: https://github.com/qax-os/excelize

Yeah, I'm reading it now and just parse, I didn't find a implementation of "calculation engine" all the available libs just read previous saved value from a opened and calculated excel file. See: https://github.com/qax-os/excelize/issues/65

Hey guys, i tryed using this https://github.com/qax-os/excelize to read excel table ,(70+columns and 500k rows). When using the sheet method from the documentation it takes about 3 to 4 minuts to find search item, and ofcourse limitation is that it needs to be a match.

Much like excelize for go lang.

Suggestion: When a method is safe for concurrent use, document such in its godoc comment. None of the formal documentation mentions concurrency, and its unclear what methods are concurrency-safe. The only tip-off that something might be safe for concurrent use is the occasional use of the sync package. This eventually led me to a year-old release footnote as the only documentation across the entire project about concurrency. This information isn't even in the Git tag, just the GitHub release page.

The title more or less says it all, but to give some background to the question, as long as it’s done safely (for example, with a mutex and locks) like with concurrent writing to a txt file, does anyone know if concurrent writing to an excel file, particularly while using excelize/v2 is possible? I have a 2D slice of data produced after processing an image that needs to be written to an excel file created with excelize/v2 and it’s plenty fast up to a certain set of dimensions, but I’d like to support even larger dimensions and was considering using concurrency to do so. But the only examples of concurrently writing to a file with Go that I could find were txt file examples. So I’m not quite sure if my scenario is possible.

You’re unlikely to find a single package that will handle all these file types without being behind a paywall of some sort. And I haven’t extensively worked with any of the other file types you’ve mentioned, but for xlsx, I highly recommend this package