# Qwak Inference
FrogML is an end-to-end production ML platform designed to allow data scientists to build, deploy, and monitor their models in production with minimal engineering friction.
FrogML Inference contains tools that allow predicting against the FrogML Platform
Raw data
{
"_id": null,
"home_page": null,
"name": "frogml-inference",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.12,>=3.9",
"maintainer_email": null,
"keywords": "mlops, ml, deployment, serving, model",
"author": "JFrog Ltd.",
"author_email": "contact@jfrog.com",
"download_url": "https://files.pythonhosted.org/packages/f9/ef/bb1b39ee424782950122dfcbaaa280eebcadf504aa3a90b507d4c63dce26/frogml_inference-0.0.1.tar.gz",
"platform": null,
"description": "# Qwak Inference\n\nFrogML is an end-to-end production ML platform designed to allow data scientists to build, deploy, and monitor their models in production with minimal engineering friction.\nFrogML Inference contains tools that allow predicting against the FrogML Platform\n",
"bugtrack_url": null,
"license": "Apache-2.0",
"summary": "FrogML Inference is a Python library for running predictions again Frogml Models.",
"version": "0.0.1",
"project_urls": null,
"split_keywords": [
"mlops",
" ml",
" deployment",
" serving",
" model"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "50a812d8821515a0f2b130d49ab03b2f1ca24ff341494f01ebd9efd6237b94d8",
"md5": "7eb0719d490deee0427ae95e5e8627a6",
"sha256": "c3ac57168da4aa56118b8493e4b2258db4d75b375b8384a259b8a614e8dc8144"
},
"downloads": -1,
"filename": "frogml_inference-0.0.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "7eb0719d490deee0427ae95e5e8627a6",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.12,>=3.9",
"size": 29683,
"upload_time": "2025-07-09T11:40:04",
"upload_time_iso_8601": "2025-07-09T11:40:04.789126Z",
"url": "https://files.pythonhosted.org/packages/50/a8/12d8821515a0f2b130d49ab03b2f1ca24ff341494f01ebd9efd6237b94d8/frogml_inference-0.0.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "f9efbb1b39ee424782950122dfcbaaa280eebcadf504aa3a90b507d4c63dce26",
"md5": "d4edc91b10d5e667bad619d0a11ee918",
"sha256": "9780adfaac4fff07633dd3b8d20e759a05db5ad50c5bcad1fed2d0131478ab1f"
},
"downloads": -1,
"filename": "frogml_inference-0.0.1.tar.gz",
"has_sig": false,
"md5_digest": "d4edc91b10d5e667bad619d0a11ee918",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.12,>=3.9",
"size": 22129,
"upload_time": "2025-07-09T11:40:06",
"upload_time_iso_8601": "2025-07-09T11:40:06.133623Z",
"url": "https://files.pythonhosted.org/packages/f9/ef/bb1b39ee424782950122dfcbaaa280eebcadf504aa3a90b507d4c63dce26/frogml_inference-0.0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-09 11:40:06",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "frogml-inference"
}