{"id":15014063,"url":"https://github.com/explosion/prodigy-evaluate","last_synced_at":"2025-10-19T14:31:55.818Z","repository":{"id":230031618,"uuid":"764041516","full_name":"explosion/prodigy-evaluate","owner":"explosion","description":"🔎 A Prodigy plugin for evaluating spaCy pipelines","archived":false,"fork":false,"pushed_at":"2024-03-26T09:54:22.000Z","size":1560,"stargazers_count":13,"open_issues_count":1,"forks_count":1,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-01-29T18:38:17.607Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":false,"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/explosion.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}},"created_at":"2024-02-27T11:29:26.000Z","updated_at":"2024-11-23T14:25:42.000Z","dependencies_parsed_at":"2024-03-27T13:58:35.249Z","dependency_job_id":null,"html_url":"https://github.com/explosion/prodigy-evaluate","commit_stats":null,"previous_names":["explosion/prodigy-evaluate"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/explosion%2Fprodigy-evaluate","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/explosion%2Fprodigy-evaluate/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/explosion%2Fprodigy-evaluate/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/explosion%2Fprodigy-evaluate/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/explosion","download_url":"https://codeload.github.com/explosion/prodigy-evaluate/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":237152774,"owners_count":19263780,"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":[],"created_at":"2024-09-24T19:45:08.628Z","updated_at":"2025-10-19T14:31:55.462Z","avatar_url":"https://github.com/explosion.png","language":"Python","readme":"\u003ca href=\"https://explosion.ai\"\u003e\u003cimg src=\"https://explosion.ai/assets/img/logo.svg\" width=\"125\" height=\"125\" align=\"right\" /\u003e\u003c/a\u003e\n\n# 🔎 Prodigy-evaluate\n\nThis repository contains a Prodigy plugin for recipes to evaluate spaCy pipelines. It features multiple recipes:\n\n1. `evaluate.evaluate`: Evaluate a spaCy pipeline on one or more datasets for different components. Passing flags like `--label-stats` or `--confusion-matrix` will compute a variety of evaluation metrics, including precision, recall, F1, accuracy, and more. \n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"images/evaluate.gif\" width=\"75%\"\u003e\n\u003c/p\u003e\n\n2. `evaluate.evaluate-example`: Evaluate a spaCy pipeline on one or more datasets for different components on a **per-example basis**. This is helpful for debugging and for understanding the hardest examples for your model. \n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"images/evaluate_example.gif\" width=\"75%\"\u003e\n\u003c/p\u003e\n\n3. `evaluate.nervaluate`: Evaluate a spaCy NER component on one or more datasets. This recipe uses the `nervaluate` library to calculate various metric for NER. You can learn more about the metrics in the [nervaluate documentation](https://github.com/MantisAI/nervaluate). This is helpful because the approach takes into account partial matches, which may be a more relevant metric for your NER use case. \n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"images/nervaluate.gif\" width=\"75%\"\u003e\n\u003c/p\u003e\n\n\nYou can install this plugin via `pip`. \n\n```\npip install \"prodigy-evaluate @ git+https://github.com/explosion/prodigy-evaluate\"\n```\n\nTo learn more about this plugin and additional functionality, you can check the [Prodigy docs](https://prodi.gy/docs/plugins/#evaluate).\n\n## Issues? \n\nAre you have trouble with this plugin? Let us know on our [support forum](https://support.prodi.gy/) and we'll get back to you! 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