{"id":42894049,"url":"https://github.com/mitdbg/logos","last_synced_at":"2026-01-30T15:02:55.851Z","repository":{"id":231373009,"uuid":"780613972","full_name":"mitdbg/logos","owner":"mitdbg","description":"Human-in-the-Loop Causal Analysis of Log Files","archived":false,"fork":false,"pushed_at":"2024-11-29T00:48:20.000Z","size":6472,"stargazers_count":3,"open_issues_count":1,"forks_count":0,"subscribers_count":9,"default_branch":"main","last_synced_at":"2024-11-29T01:34:47.835Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://mitdbg.github.io/logos/","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/mitdbg.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":"2024-04-01T20:48:25.000Z","updated_at":"2024-11-29T00:48:24.000Z","dependencies_parsed_at":"2024-11-29T09:15:35.991Z","dependency_job_id":null,"html_url":"https://github.com/mitdbg/logos","commit_stats":null,"previous_names":["mitdbg/sawmill","mitdbg/logos"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mitdbg/logos","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitdbg%2Flogos","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitdbg%2Flogos/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitdbg%2Flogos/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitdbg%2Flogos/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mitdbg","download_url":"https://codeload.github.com/mitdbg/logos/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitdbg%2Flogos/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28914895,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-30T12:13:43.263Z","status":"ssl_error","status_checked_at":"2026-01-30T12:13:22.389Z","response_time":66,"last_error":"SSL_read: 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":"2026-01-30T15:02:55.647Z","updated_at":"2026-01-30T15:02:55.831Z","avatar_url":"https://github.com/mitdbg.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LOGos\n\nUtilizing system logs to perform causal analysis. You can access the documentation [here](https://mitdbg.github.io/logos).\n\nPlease begin by installing the Python packages required for this project by running `pip install -r requirements.txt`.\n\n### OpenAI integration\n\nIn order to use the LLM-powered capabilites of LOGos, please add a `.env` file to the root of this repo and define `OPENAI_API_KEY` appropriately.\n\n### Trying out LOGos\n\nFor an introduction to our Python-based interface, you can turn to our demo notebook at [`demo/demo.ipynb`](demo/demo.ipynb).\n\nWe also offer a simple UI built using [Streamlit](https://docs.streamlit.io/). You can launch it by running [`demo/run_ui_demo.sh`](demo/run_ui_demo.sh) and following the resulting URL.\n\n\n### Reproducing our evaluation\n\nTo reproduce the evaluation from our VLDB paper, please follow the following steps:\n\n1. Follow the instructions in `dataset_files/README.md` to gain access to our datasets.\n2. Within `evaluation/`, you will find directories based on each experiment presented in our paper. Based on the experiment you would like to reproduce, switch into the appropriate directory and run the `reproduce.sh` script (you may need to edit file permissions to make it executable). This will run the experiment and plot the results.\n3. Find the resulting plots in `evaluation/repro_plots/`. The raw data for each plot will be saved in `evaluation/repro_plots_data/`.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmitdbg%2Flogos","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmitdbg%2Flogos","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmitdbg%2Flogos/lists"}