{"id":29538744,"url":"https://github.com/kowd-pauuh/tiny-track","last_synced_at":"2026-04-08T16:31:43.023Z","repository":{"id":304844915,"uuid":"1020190113","full_name":"Kowd-PauUh/tiny-track","owner":"Kowd-PauUh","description":"A minimalist, MLFlow-compatible, header-only C++ experiment tracking library with Python bindings","archived":false,"fork":false,"pushed_at":"2025-07-15T16:33:11.000Z","size":15,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-16T08:19:31.523Z","etag":null,"topics":["cpp","experiment-tracking","logging","machine-learning","mlops","python"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Kowd-PauUh.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":"2025-07-15T13:31:44.000Z","updated_at":"2025-07-15T16:41:30.000Z","dependencies_parsed_at":"2025-07-16T12:57:42.580Z","dependency_job_id":"5c5fa768-4052-4909-966e-08283089a61c","html_url":"https://github.com/Kowd-PauUh/tiny-track","commit_stats":null,"previous_names":["kowd-pauuh/tiny-track"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/Kowd-PauUh/tiny-track","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kowd-PauUh%2Ftiny-track","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kowd-PauUh%2Ftiny-track/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kowd-PauUh%2Ftiny-track/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kowd-PauUh%2Ftiny-track/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Kowd-PauUh","download_url":"https://codeload.github.com/Kowd-PauUh/tiny-track/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kowd-PauUh%2Ftiny-track/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265567426,"owners_count":23789478,"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":["cpp","experiment-tracking","logging","machine-learning","mlops","python"],"created_at":"2025-07-17T05:15:30.129Z","updated_at":"2026-04-08T16:31:43.014Z","avatar_url":"https://github.com/Kowd-PauUh.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# tiny-track\n\nA minimalist, MLFlow-compatible, header-only C++ experiment tracking library with Python bindings.\n\n## C++\n\n### Usage\n\n```c++\n#include \u003cstring\u003e\n#include \u003ciostream\u003e\n\n#include \"ttrack/local_logger.hpp\"\n#include \"ttrack/utils.hpp\"\n\nint main() {\n    // start run\n    ttrack::LocalLogger logger(\n        /*logging_dir=*/\"mlruns\",  // default logging dir used by mlflow is \"mlruns\"\n        /*experiment_name=*/\"My experiment name\",\n        /*run_name=*/\"My run name\",\n        /*source=*/std::string(__FILE__)\n    );\n\n    // add tags\n    logger.add_tag(/*key=*/\"myTagName\", /*value=*/\"myTagValue\");\n\n    // add params\n    logger.log_param(/*key=*/\"myParamName\", /*value=*/\"myParamValue\");\n\n    // log metrics\n    for (int i = 0; i \u003c 10; ++i) {\n        logger.log_metric(/*key=*/\"myMetric\", /*value=*/i*i, /*step=*/i+1);\n    }\n\n    // print existing experiments\n    auto experiments = ttrack::get_experiments(/*logging_dir=*/\"mlruns\");\n    for (const auto\u0026 [experiment_uuid, experiment_name] : experiments) {\n        std::cout \u003c\u003c \"'\" \u003c\u003c experiment_uuid \u003c\u003c \"': '\" \u003c\u003c experiment_name \u003c\u003c \"'\" \u003c\u003c std::endl;\n    }\n\n    return 0;\n}\n```\n\n## Python\n\n### Prerequisites\n\n- Linux (Ubuntu/Debian tested)\n- Python 3.10, 3.11 or 3.12\n\n### Installation\n\nInstall latest release from PyPI:\n\n```sh\npip install -U tiny-track\n```\n\nOr build from source:\n\n```sh\n# clone the repository\ngit clone https://github.com/Kowd-PauUh/tiny-track.git\ncd tiny-track\n\n# install make\nsudo apt-get update \u0026\u0026 sudo apt-get install -y make\n\n# setup .venv\nmake venv\n\n# build .so files\nmake install_g++\nmake build\n\n# activate .venv\nsource .venv/bin/activate\n```\n\n### Usage\n\nLogging via Python API:\n\n```python\nfrom ttrack.ttrack_cpp import LocalLogger, get_experiments\n\n# start run\nlogger = LocalLogger(\n    logging_dir='mlruns',  # default logging dir used by mlflow is \"mlruns\"\n    experiment_name='My experiment name',\n    run_name='My run name',\n    source=__file__,\n)\n\n# add tags\nlogger.add_tag(key='myTagName', value='myTagValue')\n\n# add params\nlogger.log_param(key='myParamName', value='myParamValue')\n\n# log metrics\nfor i in range(10):\n    logger.log_metric(key='myMetric', value=i**2, step=i+1)\n\n# print existing experiments\nprint(get_experiments(logging_dir='mlruns'))\n```\n\n## Limitations\n\n- The UUID generator for runs and experiments (`ttrack::uuid_v4` in `include/ttrack/uuid.hpp`) uses a simple implementation that seeds `rand()` with the current time in seconds. Although this is sufficient for most ML experiment tracking purposes, it **results in one experiment or run overwriting other if both were created within the same second.**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkowd-pauuh%2Ftiny-track","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkowd-pauuh%2Ftiny-track","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkowd-pauuh%2Ftiny-track/lists"}