{"id":13589734,"url":"https://github.com/helgeho/ArchiveSpark","last_synced_at":"2025-04-08T09:33:59.247Z","repository":{"id":57719914,"uuid":"40323593","full_name":"helgeho/ArchiveSpark","owner":"helgeho","description":"An Apache Spark framework for easy data processing, extraction as well as derivation for web archives and archival collections, developed at Internet 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\u0026 Software","Scala","Web Archiving"],"sub_categories":["Analysis","Analysis \u0026 Data Processing"],"readme":"# ArchiveSpark\r\n\r\n[![ArchiveSpark Logo](./logo.png)](https://github.com/helgeho/ArchiveSpark)\r\n\r\nArchiveSpark is a framework / toolkit / library / API to facilitate **efficient data processing, extraction as well as derivation for archival collections**.\r\n\r\nWhile originally developed for the use with web archives, which is still its main focus, ArchiveSpark can be used with any (archival) data collections through its modular architecture and customizable _data specifications_.\r\n\r\n### What can you do with it?\r\n\r\nThe main use case of ArchiveSpark is the **efficient access to archival data** with the goal to derive corpora by applying **filters and tools** in order to extract information from the original raw data, to be stored in a more **accessible format, like JSON**, while reflecting the data **lineage of each derived value**.\r\n\r\nExamples of what you can do with it include: (see [**recipes**](docs/Recipes.md) for code examples)\r\n\r\n* Selecting a **subset of your data** and **extracting desired properties** (e.g., title, entities, ...)\r\n* Running a **(temporal) data analysis** on the filtered / extracted / derived data\r\n* Generating **hyperlink or knowledge graphs** for downstream applications \r\n* **Processing archived webpages** and extracting embedded resources\r\n* Downloading **remote WARC/CDX data from the Internet Archive's Wayback Machine**\r\n\r\n### New in 3.0\r\n\r\n* Namespace changed to `org.archive.webservices.archivespark`.\r\n* Extensive overhaul to be based on _Sparkling_, Internet Archive's internal data processing library, which is now partially included under `org.archive.webservices.sparkling`.\r\n* _ArchiveSpark_ will evolve as _Sparkling_ evolves and automatically benefit from new features and bugfixes.\r\n* Streamlined with all unused / unnecessary / academic / experimental features being removed.\r\n* Refactored / cleaned up / simplified ArchiveSpark's public APIs.\r\n\r\nFor more information and instructions, please [**read the docs**](docs/README.md):\r\n \r\n [![ArchiveSpark Documentation](./docs_button.png)](docs/README.md)\r\n\r\n## License\r\n\r\nThe MIT License (MIT)\r\n\r\nCopyright (c) 2015-2024 [Helge Holzmann](http://www.HelgeHolzmann.de) ([Internet Archive](http://www.archive.org)) \u003c[helge@archive.org](mailto:helge@archive.org)\u003e\r\n\r\nPermission is hereby granted, free of charge, to any person obtaining a copy\r\nof this software and associated documentation files (the \"Software\"), to deal\r\nin the Software without restriction, including without limitation the rights\r\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\r\ncopies of the Software, and to permit persons to whom the Software is\r\nfurnished to do so, subject to the following conditions:\r\n\r\nThe above copyright notice and this permission notice shall be included in all\r\ncopies or substantial portions of the Software.\r\n\r\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\r\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\r\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\r\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\r\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\r\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\r\nSOFTWARE.\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhelgeho%2FArchiveSpark","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhelgeho%2FArchiveSpark","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhelgeho%2FArchiveSpark/lists"}