{"id":22914605,"url":"https://github.com/egri-nagy/lambdago","last_synced_at":"2026-02-18T00:36:31.915Z","repository":{"id":41161601,"uuid":"193649108","full_name":"egri-nagy/lambdago","owner":"egri-nagy","description":"A simple framework for different Go engines, utilities for managing a Go course and additional AI analysis for post-processing and visualization tools, written in Clojure.","archived":false,"fork":false,"pushed_at":"2024-11-15T01:28:23.000Z","size":402,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-10-22T04:13:56.927Z","etag":null,"topics":["clojure","go"],"latest_commit_sha":null,"homepage":"","language":"Clojure","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/egri-nagy.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,"zenodo":null}},"created_at":"2019-06-25T06:35:31.000Z","updated_at":"2025-03-10T06:41:10.000Z","dependencies_parsed_at":"2023-10-24T05:27:01.477Z","dependency_job_id":"8a9109e9-f766-4a7f-9ff4-b39245944d25","html_url":"https://github.com/egri-nagy/lambdago","commit_stats":{"total_commits":418,"total_committers":4,"mean_commits":104.5,"dds":0.06459330143540665,"last_synced_commit":"5db241b61a9c099b5c91a27241614e9c41b05ad8"},"previous_names":[],"tags_count":7,"template":false,"template_full_name":null,"purl":"pkg:github/egri-nagy/lambdago","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/egri-nagy%2Flambdago","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/egri-nagy%2Flambdago/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/egri-nagy%2Flambdago/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/egri-nagy%2Flambdago/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/egri-nagy","download_url":"https://codeload.github.com/egri-nagy/lambdago/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/egri-nagy%2Flambdago/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29563499,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-17T21:50:49.831Z","status":"ssl_error","status_checked_at":"2026-02-17T21:46:15.313Z","response_time":100,"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":["clojure","go"],"created_at":"2024-12-14T05:15:50.797Z","updated_at":"2026-02-18T00:36:31.871Z","avatar_url":"https://github.com/egri-nagy.png","language":"Clojure","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Clojure CI](https://github.com/egri-nagy/lambdago/actions/workflows/clojure.yml/badge.svg)](https://github.com/egri-nagy/lambdago/actions/workflows/clojure.yml)\n\n![LambdaGo Logo](resources/lambdago_logo_300px.png)\n\nLambdaGo is a software package bundling several functionalities for the ancient [game of go](https://en.wikipedia.org/wiki/Go_(game)).\nCurrently, it contains\n\n  1. supporting tools (rating calculations, tournament scheduling) for the [Igo Math](https://egri-nagy.github.io/igomath/) course; (moved to [another repo](https://codeberg.org/egri-nagy/gcmt), 2024.02.02)\n  2. reference implementation of a Go engine for the [Poetry of Programming](https://egri-nagy.github.io/popbook/) course; (moved to [another repo](https://codeberg.org/egri-nagy/lambdago), 2024.02.01)\n  3. post-processing and visualization tools for AI analysis described in the paper [Derived metrics for the game of Go - intrinsic network strength assessment and cheat-detection](https://ieeexplore.ieee.org/document/9394360) (preprint [here](https://arxiv.org/abs/2009.01606)).\n\n## Requirements\n * [Java runtime](https://www.java.com/) is needed to use LambdaGo, as it is written in [Clojure](https://www.clojure.org). This is the minimum requirement.\n * Leiningen is the build tool used in this project.\n * [Lizzie](https://github.com/featurecat/lizzie)'s auto-analysis output can be visualized by LambdaGo.\n\n## Running the LambdaGo system\nThe `jar` file can be downloaded from the release page, or when Leiningen is available it can be generated by `lein uberjar`.\n\n```\njava -jar lambdago-YYYY.MM.DD-standalone.jar \u003ccommand\u003e \u003carguments\u003e\n```\n\n## Commands\n\n### AI analysis visualization of Lizzie output\nAfter a complete analysis is done, [Lizzie](https://github.com/featurecat/lizzie) can save the analysis information into the SGF file, then\n```\nlizzie \u003csgf_file\u003e\n```\nLambdaGo command will parse that SGF file, then show the analysis diagrams in a newly opened browser window.\n```\nlizzie-export \u003csgf_file\u003e\n```\nExporting creates a standalone html file instead opening the diagrams in the browser.\n\n### AI analysis for KataGo\n\n[KataGo](https://katagotraining.org/) has an [analysis engine](https://github.com/lightvector/KataGo/blob/master/docs/Analysis_Engine.md)\n\n```\nkatago-input \u003csgf-file\u003e \u003cvisits\u003e \u003cpassed-visits\u003e\n```\nThis will produce an input for the KataGo analysis engine. The number of visits spent on each move need to be specified. The `passed-visits` is optional, if given the number of moves to be analyzed doubles, but the *cost of passing* values will be available.\n\nTo visualize the analysis:\n```\nkatago \u003canalysis-output-file\u003e\n```\nAlternatively, a single html file can be generated instead of showing it in a browser window.\n\n```\nkatago-export \u003canalysis-output-file\u003e\n```\nIn order to get this working, [Vega and Vega Lite](https://vega.github.io/) need to be installed, that can be done by `npm install -g vega vega-lite vega-cli`.\n\n### The GTP mode\nTo start LambdaGo in [GTP](http://www.lysator.liu.se/~gunnar/gtp/) mode:\n```\ngtp \u003cengine\u003e\n```\nwhere engine is either `random` (playing random legal moves, including eye-fills), `liberty` (playing random, but not filling eyes and aiming to capture low-liberty groups). \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fegri-nagy%2Flambdago","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fegri-nagy%2Flambdago","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fegri-nagy%2Flambdago/lists"}