internetarchive VS panel

https://github.com/jjjake/internetarchive/commit/952ace47e0e...

Me too, first commit was a bit more than 11 years ago.

The --checksum switch of ia verifies the hashes.

first, i've tried python and internetarchive scripts only on XP/Vista with the corresponding version for those OS, without success. I moved to linux, instead. While I have a Raspberry Pi (RPi), I tried first on a Virtual Machine, under Windows. I chose Debian (that's what I run on the RPi) but also had a go at FreeBSD. Both have packages (binaries) ready to go and worked flawlessly. From your post, you have enough skills to set up a virtual machine and install a mainstream linux distro, which is basically downloading an iso, mounting it on the VM, clicking next,next,next,ok,done. You then would boot into the desktop and open the CLI (command line interface). Installing internet archive and python is just a matter of copy pasting a couple of commands. On linux, the internet archive package is https://packages.debian.org/stable/utils/internetarchive and I find it easier than grabbing the binaries through cURL, setting up permissions and whatnot. same for python3. it'll do it's thing (grabs all the files it needs, installs, cleans, all automated, and when it's done you're back at the prompt ($ <-- you asked what this operator means in Python but I think you mean when it shows on the documentation; it's just a command prompt, like it would be on windows cmd, for example c:\archives\uploads> waiting for a command) and ready to throw commands. you first need to setup with your credentials. just ia configure it'll ask all it needs and you're ready to upload stuff. mass uploading different items s basically entering the same command for as many times as it's needed. ia does this for you, using a CSV file -- this involves a bit of pre-processing but when set and done it'll save you a lot of time and wait.

More specifically i'm using ia internetarchive, and Putty 0.75 to log into the Pi. All is updated and outside a screen session works fine. When transfering files I get a progress bar, %, speed and timestamps. But when on a screen all I get it the name of the file being uploaded and nothing else. It only changes when one file finishes and moves to the next or when all is uploaded. No other progress info.

requests - A simple, yet elegant, HTTP library. sanic - Next generation Python web server/framework | Build fast. Run fast. click - Python composable command line interface toolkit elasticsearch-dsl-py - High level Python client for Elasticsearch panel - A high-level app and dashboarding solution for Python internetarchive - A Python and Command-Line Interface to Archive.org coconut - Simple, elegant, Pythonic functional programming

You can do that with the Internet Archive's Python client by jjjake: https://github.com/jjjake/internetarchive

If you're comfortable with command line, you can use the internet archive python script to download stuff from archive.org ( https://github.com/jjjake/internetarchive )

panel – data exploration & web app framework for Python

https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements.

I'm following the Panel FastAPI example here: https://github.com/holoviz/panel/blob/main/examples/apps/fastApi/main.py

If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/).

panel

My suggestion is https://panel.holoviz.org/

Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL.

I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days.

Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).

Like the previous three alternatives, Panel is an open-source Python library for creating interactive dashboard web apps. Panel is extremely flexible, allowing you to use any plotting library you like. Like Gradio but unlike Streamlit, you can use Panel in Jupyter notebooks. Panel dashboards can also be deployed as standalone web apps, but like Plotly Dash, you'll need to set up a server to deploy it yourself.