{"id":29968226,"url":"https://github.com/i4ds/flaresense-v2","last_synced_at":"2026-02-07T09:32:29.095Z","repository":{"id":299725552,"uuid":"765287271","full_name":"i4Ds/FlareSense-v2","owner":"i4Ds","description":null,"archived":false,"fork":false,"pushed_at":"2025-12-18T16:53:02.000Z","size":22048,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-12-21T20:37:37.040Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/i4Ds.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2024-02-29T16:25:15.000Z","updated_at":"2025-12-18T16:53:05.000Z","dependencies_parsed_at":"2025-10-06T17:20:34.649Z","dependency_job_id":"49ec5840-50fb-40b8-8163-5861d3246049","html_url":"https://github.com/i4Ds/FlareSense-v2","commit_stats":null,"previous_names":["i4ds/flaresense-v2"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/i4Ds/FlareSense-v2","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i4Ds%2FFlareSense-v2","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i4Ds%2FFlareSense-v2/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i4Ds%2FFlareSense-v2/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i4Ds%2FFlareSense-v2/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/i4Ds","download_url":"https://codeload.github.com/i4Ds/FlareSense-v2/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i4Ds%2FFlareSense-v2/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29191405,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-07T07:37:03.739Z","status":"ssl_error","status_checked_at":"2026-02-07T07:37:03.029Z","response_time":63,"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":"2025-08-04T03:38:02.163Z","updated_at":"2026-02-07T09:32:29.091Z","avatar_url":"https://github.com/i4Ds.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FlareSense v2\n\nFlareSense is an experimental project that trains a convolutional neural network\non e-Callisto radio spectrograms to detect solar radio bursts. The repository\ncontains training code, prediction utilities, a web app for user interaction,\nand several notebooks used during development.\n\n## Installation\n\nThe code requires **Python 3.11**. Use the conda environment for dependencies:\n\n```bash\nconda activate flaresense-v2\npip install -r requirements.txt\n```\n\n## Training\n\nTraining is driven by YAML configuration files. A typical run looks like:\n\n```bash\npython main.py --config configs/best_v2.yml\n```\n\nThe `main.sh` script shows how to submit a job on a SLURM cluster.\n\n## Prediction\n\nRun inference on a dataset with:\n\n```bash\npython pred_dataset.py\n```\n\nFor live prediction through a Gradio interface execute:\n\n```bash\npython pred_live.py\n```\n\n## Web App\n\nThe web app in `app.py` provides a user interface for uploading data, running predictions, and viewing results. It is built with Flask and integrates with the prediction models.\n\nTo hide the complete path, we make a symlink between where the images are and where they are shown.\n\n## Evaluation\n\nTo reproduce our results, run the following command:\n\n```bash\npython main.py --config configs/best_v2.yml\n```\n\n## Notebooks\n\nAll notebooks can be found in the `_notebooks` directory. They provide\nexploratory data analysis, model investigations, and visualizations.\n\n## Deployment\n\nFlareSense is deployed as Linux systemd services for production use:\n\n- **flaresense_app.service**: Manages the web app (`app.py`) for user-facing interactions.\n- **flaresense.service**: Handles continuous prediction tasks.\n\n## Service Management\n\nIf FlareSense is deployed as systemd services, you can inspect the logs with:\n\n```bash\nsudo journalctl -u flaresense_app.service  # For web app logs\nsudo journalctl -u flaresense.service      # For prediction service logs\n```\n\nAfter modifying the service files, redeploy with:\n\n```bash\nsudo systemctl restart flaresense_app.service\nsudo systemctl restart flaresense.service\nsudo systemctl daemon-reload\n```\n\nThe .serice-file can be found here: /etc/systemd/system/flaresense_app.service\n---\n\nThis repository is provided for reference without any warranty.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fi4ds%2Fflaresense-v2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fi4ds%2Fflaresense-v2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fi4ds%2Fflaresense-v2/lists"}