{"id":50903631,"url":"https://github.com/lightbluetitan/agridatasets-py","last_synced_at":"2026-06-16T05:03:35.703Z","repository":{"id":363209563,"uuid":"1249038406","full_name":"lightbluetitan/agridatasets-py","owner":"lightbluetitan","description":"The agridatasets package provides a curated collection of agricultural, agronomic, and livestock datasets for data analysis, statistical modeling, and machine learning research.","archived":false,"fork":false,"pushed_at":"2026-06-07T08:20:01.000Z","size":1764,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-06-08T00:07:23.511Z","etag":null,"topics":["agriculture","agriculture-data","agriculture-datasets","agridatasets","data-science","datasets","dataviz","developer","pypi","pypi-package","python","python-package"],"latest_commit_sha":null,"homepage":"https://lightbluetitan.github.io/agridatasets-py/","language":"Python","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/lightbluetitan.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-05-25T09:37:14.000Z","updated_at":"2026-06-07T08:21:32.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/lightbluetitan/agridatasets-py","commit_stats":null,"previous_names":["lightbluetitan/agridatasets-py"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/lightbluetitan/agridatasets-py","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lightbluetitan%2Fagridatasets-py","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lightbluetitan%2Fagridatasets-py/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lightbluetitan%2Fagridatasets-py/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lightbluetitan%2Fagridatasets-py/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lightbluetitan","download_url":"https://codeload.github.com/lightbluetitan/agridatasets-py/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lightbluetitan%2Fagridatasets-py/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34391708,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-16T02:00:06.860Z","response_time":126,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["agriculture","agriculture-data","agriculture-datasets","agridatasets","data-science","datasets","dataviz","developer","pypi","pypi-package","python","python-package"],"created_at":"2026-06-16T05:03:34.993Z","updated_at":"2026-06-16T05:03:35.695Z","avatar_url":"https://github.com/lightbluetitan.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# agridatasets\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)\n[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)\n\nThe `agridatasets` package provides a curated collection of agricultural, agronomic, and livestock\ndatasets for data analysis, statistical modeling, and machine learning research. Includes crop yield\ntrials, soil Munsell mineral classifications, field uniformity experiments, forestry genetics, plant\ndisease infestations, pesticide efficacy, biological pest controls, dairy cattle and broiler chicken\ndevelopment tracking, and more from curated R packages on CRAN.\n\n## Installation\nYou can install the `agridatasets` package from PyPI:\n```bash\npip install agridatasets\n```\n\n## Usage\n```python\n\nimport agridatasets as agd\n\n# List all available datasets\n\ndatasets = agd.list_datasets()\nprint(datasets)\n\n# Load a specific dataset\n\ndf = agd.load_dataset('bamboo_growth')\nprint(df.head())\n\n# Describe dataset\n\ndf_01 = agd.describe('cows_insemination')\nprint(df_01)\n\n```\n\n## 📊 Some Available Datasets\n\n| Dataset | Description |\n|---------|-------------|\n| `bamboo_growth` | Bamboo growth observations across different geographic locations and transects. |\n| `cows_insemination` | Cow insemination and conception records across time intervals. |\n| `earthworm_population` | Seasonal earthworm population data, including density and biomass measurements. |\n| `earthworm_crop_soils` | Earthworm density and biomass data from cultivated soils under different crops. |\n| `rabbit_body_mass` | Rabbit body weight and hind foot length measurements. |\n\n\u003e Run `agridatasets.list_datasets()` or `agd.list_datasets()` (using `agd` as alias) to see the full list of available datasets.\n\n## Disclaimer\n\nThe datasets included in `agridatasets` are provided strictly for educational,\nresearch, and informational purposes. All datasets originate from curated R packages\navailable on CRAN and retain their original licenses and attributions.\n\nThe author of `agridatasets` makes no warranties, express or implied, regarding\nthe accuracy, completeness, or suitability of any dataset for a particular purpose.\nUsers are solely responsible for ensuring that their use of these datasets complies\nwith applicable laws, regulations, and ethical guidelines.\n\nAny findings, conclusions, or decisions derived from the use of these datasets\nare the sole responsibility of the user. The author shall not be held liable for\nany direct, indirect, incidental, or consequential damages arising from the use\nor misuse of the datasets included in this library.\n\nFor agronomic advice, crop management, or any agriculture-related decision-making purposes,\nalways consult a qualified agricultural professional or agronomist.\n\n\n## License\n\nThe `agridatasets` library is released under the **MIT License**, which allows free use,\nmodification, and distribution. See the [LICENSE](LICENSE) file for details.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flightbluetitan%2Fagridatasets-py","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flightbluetitan%2Fagridatasets-py","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flightbluetitan%2Fagridatasets-py/lists"}