{"id":23933923,"url":"https://github.com/ParthSareen/ducky","last_synced_at":"2025-09-11T16:33:19.840Z","repository":{"id":212533997,"uuid":"731700302","full_name":"ParthSareen/ducky","owner":"ParthSareen","description":"Local AI pair programming tool","archived":false,"fork":false,"pushed_at":"2023-12-17T20:03:44.000Z","size":339,"stargazers_count":15,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-10-22T22:36:03.782Z","etag":null,"topics":["langchain","llama","llm","ollama","pair-programming"],"latest_commit_sha":null,"homepage":"","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/ParthSareen.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":"2023-12-14T17:07:47.000Z","updated_at":"2024-10-22T10:57:10.000Z","dependencies_parsed_at":null,"dependency_job_id":"df148092-1d8d-4e7a-8803-3f7c69063e87","html_url":"https://github.com/ParthSareen/ducky","commit_stats":{"total_commits":18,"total_committers":1,"mean_commits":18.0,"dds":0.0,"last_synced_commit":"8e0222a7cd76eba46d588ca0ada7c7536f13630d"},"previous_names":["parthsareen/ducky"],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ParthSareen%2Fducky","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ParthSareen%2Fducky/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ParthSareen%2Fducky/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ParthSareen%2Fducky/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ParthSareen","download_url":"https://codeload.github.com/ParthSareen/ducky/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":232658733,"owners_count":18556991,"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":["langchain","llama","llm","ollama","pair-programming"],"created_at":"2025-01-06T00:29:59.262Z","updated_at":"2025-01-06T00:34:37.866Z","avatar_url":"https://github.com/ParthSareen.png","language":"Python","funding_links":[],"categories":["Building"],"sub_categories":["Tools"],"readme":"# rubber ducky\n\u003cp align=\"center\"\u003e\n    \u003cimg src=\"ducky_img.webp\" alt=\"Ducky Image\" width=\"200\" height=\"200\"\u003e\n\u003c/p\u003e\n\n## tl;dr\n- `pip install rubber-ducky`\n- Install ollama\n- `ollama pull codellama` (first time and then you can just have application in background)\n- There are probably other dependencies which I forgot to put in setup.py sorry in advance.\n- Run with `ducky \u003cpath\u003e` or `ducky \u003cquestion\u003e`\n\n## Dependencies\n\nYou will need Ollama installed on your machine. The model I use for this project is `codellama`. \n\nFor the first installation you can run `ollama pull codellama` and it should pull the necessary binaries for you.\n\nOllama is also great because it'll spin up a server which can run in the background and can even do automatic model switching as long as you have it installed.\n\n## Usage\n\nInstall through [pypi](https://pypi.org/project/rubber-ducky/):\n\n`pip install rubber-ducky` .\n\n### Simple run\n`ducky`\n\nor \n\n`ducky \u003cquestion\u003e`\n\nor \n\n`ducky -f \u003cpath\u003e`\n\n\n### All options\n`ducky --file \u003cpath\u003e --prompt \u003cprompt\u003e --directory \u003cdirectory\u003e --chain --model \u003cmodel\u003e`\n\nWhere:\n- `--prompt` or `-p`: Custom prompt to be used\n- `--file` or `-f`: The file to be processed\n- `--directory` or `-d`: The directory to be processed\n- `--chain` or `-c`: Chain the output of the previous command to the next command\n- `--model` or `-m`: The model to be used (default is \"codellama\")\n\n\n## Example output\n![Screenshot of ducky](image.png)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FParthSareen%2Fducky","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FParthSareen%2Fducky","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FParthSareen%2Fducky/lists"}