{"id":19124084,"url":"https://github.com/efforg/badger-swarm","last_synced_at":"2025-05-05T18:48:44.697Z","repository":{"id":206086445,"uuid":"445299475","full_name":"EFForg/badger-swarm","owner":"EFForg","description":"Runs distributed Badger Sett scans on Digital Ocean.","archived":false,"fork":false,"pushed_at":"2025-01-08T17:02:31.000Z","size":157,"stargazers_count":25,"open_issues_count":0,"forks_count":0,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-04-19T11:09:14.663Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://www.eff.org/deeplinks/2023/10/privacy-badger-learns-block-ever-more-trackers","language":"Shell","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/EFForg.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2022-01-06T20:18:48.000Z","updated_at":"2025-04-14T03:46:42.000Z","dependencies_parsed_at":null,"dependency_job_id":"1382c1f7-82cc-4b28-b934-9e7f776cfc9c","html_url":"https://github.com/EFForg/badger-swarm","commit_stats":null,"previous_names":["efforg/badger-swarm"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EFForg%2Fbadger-swarm","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EFForg%2Fbadger-swarm/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EFForg%2Fbadger-swarm/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EFForg%2Fbadger-swarm/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/EFForg","download_url":"https://codeload.github.com/EFForg/badger-swarm/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252556271,"owners_count":21767330,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-09T05:28:04.888Z","updated_at":"2025-05-05T18:48:44.676Z","avatar_url":"https://github.com/EFForg.png","language":"Shell","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Badger Swarm\n\nRuns distributed [Badger Sett](https://github.com/EFForg/badger-sett) scans on Digital Ocean. Yes, a group of badgers is called a _cete_, but \"swarm\" just sounds better.\n\n![Badger Swarm demo recording](badger-swarm-screencast.gif)\n\nBadger Swarm converts a Badger Sett scan of X sites into N Badger Sett scans of X/N sites. This makes medium scans complete as quickly as small scans, and large scans complete in a reasonable amount of time.\n\nFor more information, visit our [Introducing Badger Swarm: New Project Helps Privacy Badger Block Ever More Trackers](https://www.eff.org/deeplinks/2023/10/privacy-badger-learns-block-ever-more-trackers) blog post.\n\n\n## Architecture\n\nSee [ARCHITECTURE.md](ARCHITECTURE.md).\n\n\n## Setup\n\n1. Check out this repository\n2. [Install `doctl`](https://github.com/digitalocean/doctl#installing-doctl)\n3. [Authenticate `doctl`](https://github.com/digitalocean/doctl#authenticating-with-digitalocean) with DigitalOcean\n4. Copy `settings.ini.sample` to `settings.ini`\n5. Review the settings. At minimum, specify your Digital Ocean SSH key (see `doctl compute ssh-key`). For Droplet sizes and hourly prices, see `doctl compute size list`.\n6. To automatically merge results on completion, check out Badger Sett and [Privacy Badger](https://github.com/EFForg/privacybadger) (at the same directory level as this repository) and then [set up and activate a virtual environment](https://snarky.ca/a-quick-and-dirty-guide-on-how-to-install-packages-for-python/) for Badger Sett.\n7. Run `./main.sh` to initiate a new run.\n\nOnce you are told the run is resumable, you can stop the script with \u003ckbd\u003eCtrl\u003c/kbd\u003e-\u003ckbd\u003eC\u003c/kbd\u003e and then later resume the in-progress run with `./main.sh -r`.\n\n\n## Helpful Bash scripting links\n- https://google.github.io/styleguide/shellguide.html\n- https://mywiki.wooledge.org/\n- https://tldp.org/LDP/abs/html/index.html\n- https://www.shellcheck.net/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fefforg%2Fbadger-swarm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fefforg%2Fbadger-swarm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fefforg%2Fbadger-swarm/lists"}