{"id":20478637,"url":"https://github.com/do-me/mlx_parallm_ui","last_synced_at":"2026-03-19T16:03:31.739Z","repository":{"id":247216632,"uuid":"825281756","full_name":"do-me/mlx_parallm_ui","owner":"do-me","description":"A minimal UI for parallel inferencing based on mlx_parallm","archived":false,"fork":false,"pushed_at":"2024-07-07T11:36:56.000Z","size":13,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-24T04:44:56.713Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"HTML","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/do-me.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":"2024-07-07T10:53:03.000Z","updated_at":"2024-07-08T07:50:29.000Z","dependencies_parsed_at":"2024-07-07T12:50:48.949Z","dependency_job_id":null,"html_url":"https://github.com/do-me/mlx_parallm_ui","commit_stats":null,"previous_names":["do-me/mlx_parallm_ui"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/do-me/mlx_parallm_ui","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/do-me%2Fmlx_parallm_ui","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/do-me%2Fmlx_parallm_ui/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/do-me%2Fmlx_parallm_ui/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/do-me%2Fmlx_parallm_ui/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/do-me","download_url":"https://codeload.github.com/do-me/mlx_parallm_ui/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/do-me%2Fmlx_parallm_ui/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29931251,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-28T09:58:13.507Z","status":"ssl_error","status_checked_at":"2026-02-28T09:57:57.047Z","response_time":90,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":[],"created_at":"2024-11-15T15:38:33.688Z","updated_at":"2026-02-28T11:05:46.946Z","avatar_url":"https://github.com/do-me.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MLX ParaLLM UI\nA minimal UI for parallel inferencing based on https://github.com/willccbb/mlx_parallm. Includes a fastapi backend and a tailwind-based frontend.\n\n![image](https://github.com/do-me/mlx_parallm_ui/assets/47481567/6d43145c-5922-4332-944c-91de7cd684ff)\n\n## Installation \n\n1. Follow the setup instructions in https://github.com/willccbb/mlx_parallm, best install dependencies in a virtual env\n2. Copy the files from this repo into `mlx_parallm` (main dir) \n3. `pip install fastapi==0.95.1 pydantic==1.10.4 starlette==0.27.0 uvicorn==0.22.0` to install missing dependencies\n4. Run the fastapi server with `python fastapi_server.py` and open localhost:8000 in your browser\n\nInferencing for the first time downloads the model once to your computer.\n\n## Idea \nKeep it super simple to set up. Using tailwind css and marked js dependencies from a cdn. \nAs soon as mlx_parallm becomes a pip package, installation will become easier.\n\n## Notes \nNote that MLX is specific for Apple Silicon, so you can only run it on the M-series of Macs. Tested on a Mac M3 Max 128Gb.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdo-me%2Fmlx_parallm_ui","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdo-me%2Fmlx_parallm_ui","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdo-me%2Fmlx_parallm_ui/lists"}