COLLECTED BY

Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: ArchiveBot: The Archive Team Crowdsourced Crawler

ArchiveBot is an IRC bot designed to automate the archival of smaller websites (e.g. up to a few hundred thousand URLs). You give it a URL to start at, and it grabs all content under that URL, records it in a WARC, and then uploads that WARC to ArchiveTeam servers for eventual injection into the Internet Archive (or other archive sites).

To use ArchiveBot, drop by #archivebot on EFNet. To interact with ArchiveBot, you issue commands by typing it into the channel. Note you will need channel operator permissions in order to issue archiving jobs. The dashboard shows the sites being downloaded currently.

There is a dashboard running for the archivebot process at http://www.archivebot.com.

ArchiveBot's source code can be found at https://github.com/ArchiveTeam/ArchiveBot.

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20240327110219/https://github.com/geektutu

geektutu

Follow

🎯

Focusing

Dai Jie geektutu

🎯

Focusing

Follow

2.3k followers · 41 following

Fudan University
Shanghai,China
https://geektutu.com

Achievements

BetaSend feedback

Achievements

BetaSend feedback

Organizations

Block or Report

Block or report geektutu

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned

7days-golang 7days-golang Public

7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) 7天用Go动手写/从零实现系列

Go 14.6k 2.3k
golang/go golang/go Public

The Go programming language

Go 119k 17.1k
high-performance-go high-performance-go Public

high performance coding with golang（Go 语言高性能编程，Go 语言陷阱，Gotchas，Traps）

Go 3.7k 410
tensorflow-tutorial-samples tensorflow-tutorial-samples Public

TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例

Python 507 198
interview-questions interview-questions Public

机器学�?/深度学�?/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)

Jupyter Notebook 999 199
hexo-theme-geektutu hexo-theme-geektutu Public

极速�?载的Hexo主题，不引入第三方JS库

EJS 303 39

0 contributions in the last year

Learn how we count contributions

Less

More

Contribution activity

March 2024

geektutu has no activity yet for this period.