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padding: 2em 0 2em\"\u003e\n    \u003cimg src=\"https://rateslib.readthedocs.io/en/latest/_static/rateslib_logo_big2.png\" alt=\"rateslib\"\u003e\n\u003c/div\u003e\n\n\u003cdiv style=\"text-align: center\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Frateslib.com%2Fpy%2Fen%2Flatest%2F_static%2Fbadges.json\u0026query=%24.python\u0026label=Python\u0026color=blue\" alt=\"Python\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Frateslib.com%2Fpy%2Fen%2Flatest%2F_static%2Fbadges.json\u0026query=%24.pypi\u0026label=PyPi\u0026color=blue\" alt=\"PyPi\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Frateslib.com%2Fpy%2Fen%2Flatest%2F_static%2Fbadges.json\u0026query=%24.conda\u0026label=Conda\u0026color=blue\" alt=\"Conda\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Frateslib.com%2Fpy%2Fen%2Flatest%2F_static%2Fbadges.json\u0026query=%24.licence\u0026label=Licence\u0026color=orange\" alt=\"Licence\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Frateslib.com%2Fpy%2Fen%2Flatest%2F_static%2Fbadges.json\u0026query=%24.status\u0026label=Status\u0026color=green\" alt=\"Status\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Frateslib.com%2Fpy%2Fen%2Flatest%2F_static%2Fbadges.json\u0026query=%24.coverage\u0026label=Coverage\u0026color=green\" alt=\"Coverage\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Frateslib.com%2Fpy%2Fen%2Flatest%2F_static%2Fbadges.json\u0026query=%24.style\u0026label=Code%20Style\u0026color=black\" alt=\"Code Style\"\u003e\n\u003c/div\u003e\n\n# Rateslib\n\n``Rateslib`` is a state-of-the-art **fixed income library** designed for Python.\nIts purpose is to provide advanced, flexible and efficient fixed income analysis\nwith a high level, well documented API.\n\nThe techniques and object interaction within *rateslib* were inspired by\nthe requirements of multi-disciplined fixed income teams working, both cooperatively\nand independently, within global investment banks.\n\n\nLicence\n=======\n\nThis library is released under a **Creative Commons Attribution, Non-Commercial,\nNo-Derivatives 4.0 International Licence**.\n\n\nGet Started\n===========\n\nRead the documentation at \n[rateslib.com/py](https://rateslib.com/py/)\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fattack68%2Frateslib","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fattack68%2Frateslib","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fattack68%2Frateslib/lists"}