{"id":19932056,"url":"https://github.com/amazon-science/fleet2d","last_synced_at":"2026-02-16T07:01:36.139Z","repository":{"id":207456309,"uuid":"712204817","full_name":"amazon-science/fleet2d","owner":"amazon-science","description":"Fleet2D: A lightweight, 2D simulator for fast, long-term, consumer robotics applications.","archived":false,"fork":false,"pushed_at":"2024-09-24T18:52:17.000Z","size":51,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-09T12:31:58.420Z","etag":null,"topics":["robotics","robotics-simulation","simulator","simulators"],"latest_commit_sha":null,"homepage":"https://github.com/amazon-science/fleet2d/","language":"Python","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/amazon-science.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,"zenodo":null}},"created_at":"2023-10-31T02:14:15.000Z","updated_at":"2025-09-11T10:03:40.000Z","dependencies_parsed_at":"2023-11-15T22:42:40.927Z","dependency_job_id":"7e9e3721-cd88-4c5e-be6b-03adcf19e735","html_url":"https://github.com/amazon-science/fleet2d","commit_stats":null,"previous_names":["amazon-science/fleet2d"],"tags_count":0,"template":false,"template_full_name":"amazon-archives/__template_Apache-2.0","purl":"pkg:github/amazon-science/fleet2d","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amazon-science%2Ffleet2d","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amazon-science%2Ffleet2d/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amazon-science%2Ffleet2d/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amazon-science%2Ffleet2d/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/amazon-science","download_url":"https://codeload.github.com/amazon-science/fleet2d/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amazon-science%2Ffleet2d/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29502928,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-16T05:57:17.024Z","status":"ssl_error","status_checked_at":"2026-02-16T05:56:49.929Z","response_time":115,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["robotics","robotics-simulation","simulator","simulators"],"created_at":"2024-11-12T23:08:54.291Z","updated_at":"2026-02-16T07:01:36.124Z","avatar_url":"https://github.com/amazon-science.png","language":"Python","readme":"# Fleet2D\n\nFleet2D is a simulation framework for testing long time-horizon algorithms.\n\n## Running locally\nTo run Fleet2D use the following steps.\n\n### Set up\nTo install Python dependencies locally run the following command:\n```\npip3 install -r requirements.txt\n```\n### Prerequisites\n\nFleet2D depends on an OpenCV installation that supports both Python and C++ development. The easiest way to achieve this is usually by installing the Python OpenCV libraries (via the `requirements.txt` installation above. And then installing the same corresponding OpenCV version using your system's package manager.\n\nFor example, currently the requirement is `opencv-python~=4.6.0`, then using your distribution's package manager (e.g. `apt`, `yum`, `brew`, etc) specify version `4.6.0` of OpenCV's C++ development libraries.\n\nAnother method might be to simply build and install OpenCV from source. We've found this to be the most straightforward on MacOS.\n\n### Build\nTo build locally run the following command:\n```\npython3 setup.py build\n```\nOnce the command has completed compiling any C++ files that have been updated, a build directory is created. Usually this is the `build` directory in the package's root. Navigate to this directory with the following command:\n```\ncd build/lib\\*\n```\nOnce there, export the path for Python to be able to recognize the freshly built library:\n```\nexport PYTHONPATH=`pwd`\n```\nThen go back to your original workspace directory (`cd -` should work). You're now ready to run the simulator!\n\n### Run simulation\nTo run the simulation using the config file located at `src/f2d/configs/config_simple.yaml` enter the following command from the package home directory:\n```\npython3 src/f2d/simulation/simulation.py src/f2d/configs/config_simple.yaml\n```\n\n### Development iteration\nOnce set up, a typical build/run command after each code change might look like\n```\npython3 setup.py build \u0026\u0026 python3 src/f2d/simulation/simulation.py src/f2d/configs/config_simple.yaml\n```\nOr, the command could be set up in PyCharm by editing the runtime configuration and adding the appropriate path/command there.\n\n## Security\n\nSee [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.\n\n## License\n\nThis project is licensed under the Apache-2.0 License.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famazon-science%2Ffleet2d","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famazon-science%2Ffleet2d","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famazon-science%2Ffleet2d/lists"}