ArchiveBox
Raindrop.io
wallabag
Archive.org
Wayback Machine
Pinboard
Instapaper
HTTrack
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
ArchiveBox is a powerful, self-hosted internet archiving solution to collect, save, and view sites you want to preserve offline.
You can set it up as a command-line tool, web app, and desktop app (alpha), on Linux, macOS, and Windows.
You can feed it URLs one at a time, or schedule regular imports from browser bookmarks or history, feeds like RSS, bookmark services like Pocket/Pinboard, and more. See input formats for a full list.
It saves snapshots of the URLs you feed it in several formats: HTML, PDF, PNG screenshots, WARC, and more out-of-the-box, with a wide variety of content extracted and preserved automatically (article text, audio/video, git repos, etc.). See output formats for a full list.
The goal is to sleep soundly knowing the part of the internet you care about will be automatically preserved in durable, easily accessible formats for decades after it goes down.
ArchiveBox MatplotlibArchiveBox is recommended for digital archivists, researchers, journalists, and any individuals or organizations that need to reliably save and organize web content. It is particularly suitable for those with the technical expertise to manage a self-hosted setup and who require an offline, permanent record of online information.
ArchiveBox's answer
ArchiveBox's answer
ArchiveBox's answer
ArchiveBox aims to enable more of the internet to be saved from deterioration by empowering people to self-host their own archives. The intent is for all the web content you care about to be viewable with common software in 50 - 100 years without needing to run ArchiveBox or other specialized software to replay it.
Vast treasure troves of knowledge are lost every day on the internet to link rot. As a society, we have an imperative to preserve some important parts of that treasure, just like we preserve our books, paintings, and music in physical libraries long after the originals go out of print or fade into obscurity.
Whether it's to resist censorship by saving articles before they get taken down or edited, or just to save a collection of early 2010's flash games you love to play, having the tools to archive internet content enables to you save the stuff you care most about before it disappears.
Image from WTF is Link Rot?... The balance between the permanence and ephemeral nature of content on the internet is part of what makes it beautiful. I don't think everything should be preserved in an automated fashion--making all content permanent and never removable, but I do think people should be able to decide for themselves and effectively archive specific content that they care about.
Because modern websites are complicated and often rely on dynamic content, ArchiveBox archives the sites in several different formats beyond what public archiving services like Archive.org/Archive.is save. Using multiple methods and the market-dominant browser to execute JS ensures we can save even the most complex, finicky websites in at least a few high-quality, long-term data formats.
ArchiveBox's answer
ArchiveBox differentiates itself from similar self-hosted projects by providing both a comprehensive CLI interface for managing your archive, a Web UI that can be used either independently or together with the CLI, and a simple on-disk data format that can be used without either.
ArchiveBox is neither the highest fidelity nor the simplest tool available for self-hosted archiving, rather it's a jack-of-all-trades that tries to do most things well by default. It can be as simple or advanced as you want, and is designed to do everything out-of-the-box but be tuned to suit your needs.
If you want better fidelity for very complex interactive pages with heavy JS/streams/API requests, check out ArchiveWeb.page and ReplayWeb.page.
If you want more bookmark categorization and note-taking features, check out Archivy, Memex, Polar, or LinkAce.
If you need more advanced recursive spider/crawling ability beyond --depth=1, check out Browsertrix, Photon, or Scrapy and pipe the outputted URLs into ArchiveBox.
ArchiveBox's answer
Matplotlib might be a bit more popular than ArchiveBox. We know about 114 links to it since March 2021 and only 93 links to ArchiveBox. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A bit off topic, but are there any self hosted open source archiving servers people are using for personal usage? I think ArchiveBox[1] is the most popular. I will give it a shot, but it's a shame they don't support URL rewriting[2], which would be pretty important to me. I read a lot of blog and news articles that are split across multiple pages, and it's quite annoying to have to individually search through the... - Source: Hacker News / 5 months ago
I run an ArchiveBox instance locally. Recommended! https://archivebox.io/. - Source: Hacker News / 5 months ago
Https://archivebox.io/ could be a solution for that. - Source: Hacker News / 10 months ago
I've used https://historio.us since 2011 and still pay for it to keep access to all the pages I've archived over the years. The price has been kept low enough that I can't bring myself to cancel it even though I've been using self-hosted https://archivebox.io/ for the last few years. I always include an archived link whenever I reference something in documentation. That's my main use at the moment. However, I... - Source: Hacker News / about 1 year ago
2. Drop the link into my instance of ArchiveBox [0] and will return to it a few weeks/months later or, more often than not, never again [0] https://archivebox.io/. - Source: Hacker News / over 1 year ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Raindrop.io - All your articles, photos, video & content from web & apps in one place.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
wallabag - Save the web, freely.
NumPy - NumPy is the fundamental package for scientific computing with Python
Archive.org - Internet Archive is a non-profit digital library offering free universal access to books, movies...
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
