{"id":16223744,"url":"https://github.com/lykmapipo/nyc-tlc-trip-data","last_synced_at":"2025-09-17T23:44:12.954Z","repository":{"id":214513690,"uuid":"736633558","full_name":"lykmapipo/NYC-TLC-Trip-Data","owner":"lykmapipo","description":"Python scripts to download, process, and analyze the New York City Taxi and Limousine Commission (TLC) Trip Record Data dataset","archived":false,"fork":false,"pushed_at":"2024-08-22T10:14:13.000Z","size":105238,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-01T16:41:49.237Z","etag":null,"topics":["apache-arrow","apache-spark","data","data-engineering","data-extraction","data-transformation","etl","fsspec","geopandas","joblib","jupyterlab","lykmapipo","metadata","nyc","nyc-taxi-dataset","pandas","pyarrow","python","s3"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/lykmapipo.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}},"created_at":"2023-12-28T12:43:14.000Z","updated_at":"2025-05-21T00:28:12.000Z","dependencies_parsed_at":"2024-08-20T17:50:47.828Z","dependency_job_id":null,"html_url":"https://github.com/lykmapipo/NYC-TLC-Trip-Data","commit_stats":{"total_commits":7,"total_committers":1,"mean_commits":7.0,"dds":0.0,"last_synced_commit":"9fb69a1462e9007264eba5531ae2f1f9d61be850"},"previous_names":["lykmapipo/nyc-tlc-trip-data"],"tags_count":0,"template":true,"template_full_name":null,"purl":"pkg:github/lykmapipo/NYC-TLC-Trip-Data","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lykmapipo%2FNYC-TLC-Trip-Data","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lykmapipo%2FNYC-TLC-Trip-Data/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lykmapipo%2FNYC-TLC-Trip-Data/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lykmapipo%2FNYC-TLC-Trip-Data/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lykmapipo","download_url":"https://codeload.github.com/lykmapipo/NYC-TLC-Trip-Data/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lykmapipo%2FNYC-TLC-Trip-Data/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":275685269,"owners_count":25509528,"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","status":"online","status_checked_at":"2025-09-17T02:00:09.119Z","response_time":84,"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":["apache-arrow","apache-spark","data","data-engineering","data-extraction","data-transformation","etl","fsspec","geopandas","joblib","jupyterlab","lykmapipo","metadata","nyc","nyc-taxi-dataset","pandas","pyarrow","python","s3"],"created_at":"2024-10-10T12:19:55.958Z","updated_at":"2025-09-17T23:44:12.922Z","avatar_url":"https://github.com/lykmapipo.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# NYC-TLC-Trip-Data\n\nPython scripts to download, process, and analyze [over 3.69 billion](https://github.com/lykmapipo/NYC-TLC-Trip-Data/blob/main/explore_trips_metadata.ipynb) records from the [New York City Taxi and Limousine Commission (TLC) Trip Record Data](https://www.nyc.gov/site/tlc/about/tlc-trip-record-data.page) dataset, spanning from 2009 to the present.\n\n\u003e 👋 This repository's maintainer is available to hire for [Python](https://www.python.org/)/[Apache Spark](https://spark.apache.org/)/[Apache Arrow](https://arrow.apache.org/docs/index.html)/[Data Engineering](https://en.wikipedia.org/wiki/Data_engineering) consulting projects. To get a cost estimate, send email to lallyelias87@gmail.com (for projects of any size or complexity).\n\n## Requirements\n\n- [Python 3.8+](https://www.python.org/)\n- [pip 24.2+](https://github.com/pypa/pip)\n- [joblib 1.3+](https://github.com/joblib/joblib)\n- [numpy 1.24.+](https://github.com/numpy/numpy)\n- [pyarrow 14.0+](https://github.com/apache/arrow)\n- [pandas 2.0+](https://github.com/pandas-dev/pandas)\n- [geopandas 0.13+](https://github.com/geopandas/geopandas)\n- [jupyterlab\u003e=4.0+](https://github.com/jupyterlab/jupyterlab)\n- [pyspark 3.5+](https://github.com/apache/spark/tree/master/python)\n\n## Usage\n\n- Clone this repository\n```sh\ngit clone https://github.com/lykmapipo/NYC-TLC-Trip-Data.git\ncd NYC-TLC-Trip-Data\n```\n\n- Install all dependencies\n\n```sh\npip install -r requirements.txt\n```\n\n- Set environment variables (if using AWS S3)\n```sh\nexport AWS_ACCESS_KEY_ID=\"\u003cYOUR_AWS_ACCESS_KEY\u003e\"\nexport AWS_SECRET_ACCESS_KEY=\"\u003cYOUR_AWS_SECRET_ACCESS_KEY\u003e\"\nexport AWS_REGION=\"us-east-1\"\n```\n\n- To extract [trips metadata](https://github.com/lykmapipo/NYC-TLC-Trip-Data/tree/main/data/trips-metadata), run:\n```sh\npython extract_trips_metadata.py -s web -t yellow -y 2024\n```\n\n- To extract [zones data `(i.e taxi+_zone_lookup, taxi_zones etc.)`](https://github.com/lykmapipo/NYC-TLC-Trip-Data/tree/main/data/zones-data), run:\n```sh\npython extract_zones_data.py\n```\n\n- To extract [trips data](https://github.com/lykmapipo/NYC-TLC-Trip-Data/tree/main/data/trips-data), run:\n```sh\npython extract_trips_data.py -s web -t yellow -y 2024 -m 1 -m 2\n```\n\n- To sample [trips data](https://github.com/lykmapipo/NYC-TLC-Trip-Data/tree/main/data/trips-data-sample), run:\n```sh\npython sample_trips_data.py -s web -t yellow -y 2024 -m 1 -f csv\n```\n\n\n## Contribute\n\nIt will be nice, if you open an issue first so that we can know what is going on, then, fork this repo and push in your ideas. Do not forget to add a bit of test(s) of what value you adding.\n\n## Questions/Issues/Contacts\n\nlallyelias87@gmail.com, or open a GitHub issue\n\n\n## Licence\n\nThe MIT License (MIT)\n\nCopyright (c) lykmapipo \u0026 Contributors\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flykmapipo%2Fnyc-tlc-trip-data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flykmapipo%2Fnyc-tlc-trip-data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flykmapipo%2Fnyc-tlc-trip-data/lists"}