{"id":13427067,"url":"https://github.com/locationtech/rasterframes","last_synced_at":"2025-04-13T11:48:01.488Z","repository":{"id":30608364,"uuid":"125522324","full_name":"locationtech/rasterframes","owner":"locationtech","description":"Geospatial Raster support for Spark DataFrames","archived":false,"fork":false,"pushed_at":"2024-04-03T15:27:43.000Z","size":107156,"stargazers_count":250,"open_issues_count":140,"forks_count":45,"subscribers_count":12,"default_branch":"develop","last_synced_at":"2025-04-04T04:13:03.204Z","etag":null,"topics":["earth-observation","geotrellis","image-processing","machine-learning","scala","spark","spark-ml","sparksql"],"latest_commit_sha":null,"homepage":"http://rasterframes.io","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/locationtech.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","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}},"created_at":"2018-03-16T13:49:53.000Z","updated_at":"2025-02-18T05:44:33.000Z","dependencies_parsed_at":"2024-06-20T19:24:42.717Z","dependency_job_id":null,"html_url":"https://github.com/locationtech/rasterframes","commit_stats":{"total_commits":1205,"total_committers":19,"mean_commits":"63.421052631578945","dds":"0.43651452282157677","last_synced_commit":"45c6a1a05638c682bec9fb521dc1b5ac13a5194e"},"previous_names":[],"tags_count":39,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/locationtech%2Frasterframes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/locationtech%2Frasterframes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/locationtech%2Frasterframes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/locationtech%2Frasterframes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/locationtech","download_url":"https://codeload.github.com/locationtech/rasterframes/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248710409,"owners_count":21149186,"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":["earth-observation","geotrellis","image-processing","machine-learning","scala","spark","spark-ml","sparksql"],"created_at":"2024-07-31T00:01:52.723Z","updated_at":"2025-04-13T11:48:01.467Z","avatar_url":"https://github.com/locationtech.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook","`Python` processing of optical imagery (non deep learning)","Python"],"sub_categories":["Processing imagery - post processing"],"readme":"\u003cimg src=\"docs/src/main/paradox/_template/assets/images/RasterFramesLogo.png\" width=\"300px\"/\u003e\u003csup style=\"vertical-align: top;\"\u003e\u0026reg;\u003c/sup\u003e\n\n [![Join the chat at https://gitter.im/locationtech/rasterframes](https://badges.gitter.im/locationtech/rasterframes.svg)](https://gitter.im/locationtech/rasterframes?utm_source=badge\u0026utm_medium=badge\u0026utm_campaign=pr-badge\u0026utm_content=badge)\n\nRasterFrames® brings together Earth-observation (EO) data access, cloud computing, and DataFrame-based data science. The recent explosion of EO data from public and private satellite operators presents both a huge opportunity as well as a challenge to the data analysis community. It is _Big Data_ in the truest sense, and its footprint is rapidly getting bigger. \n\nRasterFrames provides a DataFrame-centric view over arbitrary raster data, enabling spatiotemporal queries, map algebra raster operations, and compatibility with the ecosystem of Spark ML algorithms. By using DataFrames as the core cognitive and compute data model, it is able to deliver these features in a form that is both accessible to general analysts and scalable along with the rapidly growing data footprint.\n\n\u003cimg src=\"pyrasterframes/src/main/python/docs/static/rasterframes-pipeline-nologo.png\" width=\"600px\"/\u003e\n\nPlease see the [Getting Started](http://rasterframes.io/getting-started.html) section of the Users' Manual to start using RasterFrames.\n\n## User Resources\n\n* [RasterFrames Users' Manual](http://rasterframes.io/)\n* [RasterFrames Jupyter Notebook Docker Image](https://hub.docker.com/r/s22s/rasterframes-notebook/)\n* [Gitter Channel](https://gitter.im/locationtech/rasterframes)\n* [Submit an Issue](https://github.com/locationtech/rasterframes/issues) \n\n## Contributing\n\nCommunity contributions are always welcome. To get started, please review our [contribution guidelines](https://github.com/locationtech/rasterframes/blob/develop/CONTRIBUTING.md), [code of conduct](https://github.com/locationtech/rasterframes/blob/develop/CODE_OF_CONDUCT.md), and reach out to us on [gitter](https://gitter.im/locationtech/rasterframes) so the community can help you get started!\n\nRasterFrames is part of the LocationTech Stack.\n\n\u003cimg src =\"pyrasterframes/src/main/python/docs/static/rasterframes-locationtech-stack.png\" width=\"600px\" /\u003e\n\nIt is written in Scala, but with Python bindings. If you wish to contribute to the development of RasterFrames, or you\nwish to build it from scratch, you will need [sbt](https://www.scala-sbt.org/). Then clone the repository from GitHub.\n\n```bash\ngit clone https://github.com/locationtech/rasterframes.git\ncd rasterframes\n```\n\nTo publish to your local repository:\n\n```bash\nsbt publishLocal\n```\n\nYou can run tests with\n\n```bash\nsbt test\n```\n\nand integration tests\n\n```bash\nsbt it:test\n```\n\nThe documentation may be built with\n\n```bash\nsbt makeSite\n```\n\nAdditional, Python sepcific build instruction may be found at [pyrasterframes/src/main/python/README.md](pyrasterframes/src/main/python/README.md)\n\n## Copyright and License\n\nRasterFrames is released under the commercial-friendly Apache 2.0 License, copyright Astraea, Inc. 2017-2021.\n\n## Commercial Support\n\nAs the sponsors and developers of RasterFrames, [Astraea, Inc.](https://astraea.earth/) is uniquely positioned to expand its capabilities. If you need additional functionality or just some architectural guidance to get your project off to the right start, we can provide a full range of [consulting and development services](https://astraea.earth/services/) around RasterFrames. We can be reached at [info@astraea.io](mailto:info@astraea.io).\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flocationtech%2Frasterframes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flocationtech%2Frasterframes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flocationtech%2Frasterframes/lists"}