Quantlib
quantlib.org
QuantLib, a free/open-source library for quantitative finance
The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance. QuantLib is a free/open-source library for modeling, trading, and risk management in real-life. QuantLib is written in C++ with a clean object model, and is then exported to different languages ...
Factsheet
Developer QuantLib Team
Stable release 1.42.1
/ 17 April 2026; 4 days ago (17 April 2026)
/ 17 April 2026; 4 days ago (17 April 2026)
Written in C++
Developer QuantLib Team
Stable release 1.42.1
/ 17 April 2026; 4 days ago (17 April 2026)
/ 17 April 2026; 4 days ago (17 April 2026)
Written in C++
GitHub
github.com › wilsonfreitas › awesome-quant
GitHub - wilsonfreitas/awesome-quant: A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance) · GitHub
February 24, 2026 - QuantPy - Python - A framework for quantitative finance In python. Finance-Python - Python - Python tools for Finance. ffn - Python - A financial function library for Python.
Starred by 25.7K users
Forked by 3.4K users
Languages HTML 90.2% | Python 5.9% | CSS 1.9%
Videos
01:39:55
Quant Finance with Python | Stock Market Modeling (easy) - YouTube
02:05:17
Introduction to Quantitative Finance in Python - YouTube
09:01
Quant Finance with Python and Pandas | 50 Concepts you NEED to ...
04:38
Master Quantitative Trading with This Python Library - YouTube
13:00
Goldman Sachs Has an Open Source Python Package Called GS-Quant ...
25:59
QuantLib in Python: Intro to Pricing Options. Black Scholes Model ...
QuantStart
quantstart.com › articles › python-libraries-for-quantitative-trading
Python Libraries for Quantitative Trading | QuantStart
This guide introduces you to the essential Python libraries used by professional quants and systematic traders. We'll introduce libraries that cover everything from data manipulation and technical analysis to backtesting and advanced financial modeling.
Medium
medium.com › modern-ai › top-10-python-libraries-for-quants-in-2024-66e6aa711860
Top 10 Python Libraries for Quants in 2024 | by Diego Ruiz | Modern AI | Medium
September 26, 2024 - Since Python has established itself as the go-to language for quants due to its huge ecosistem, chances are that you have a good knowledge of the most popular libraries for data analysis such us Pandas, Numpy, Scikit-learn, Matplotlib or Seaborn to ...
Reddit
reddit.com › r/quant › what are the top python finance libraries?
r/quant on Reddit: What are the top Python finance libraries?
April 14, 2021 -
I'll start by listing a few. If you've used any of these, please share thoughts/experience. If you recommend/like any others, please comment:
- portfolio optimization/allocation:
https://pypi.org/project/Riskfolio-Lib/
https://pypi.org/project/pyportfolioopt/
- options & greeks:
https://pypi.org/project/vollib/
https://pypi.org/project/pynance/
- historical & real-time data:
yfinance
alpaca
anything else? WHERE CAN I GET EOD HISTORICAL OPTIONS DAY (what's the cheapest price?)
- bond math:
https://pypi.org/project/qfrm/
Top answer 1 of 8
11
QuantLib’s Python port is pretty good. If you are asking for EOD data for your company OptionMetrics, Reuters or Markit would probably be the cheapest. You probably won’t be able to find very affordable historical option data for personal use.
2 of 8
3
MLFinLab: https://pypi.org/project/mlfinlab/ PortfolioLab: https://pypi.org/project/portfoliolab/
Marketcalls
marketcalls.in › home › top quant python libraries for quantitative finance
Top Quant Python Libraries for Quantitative Finance
September 6, 2023 - In quantitative finance, SciPy’s optimization and statistical functions are particularly useful for portfolio optimization and risk management. ... scikit-learn is a popular machine learning library in Python, providing a wide range of algorithms for classification, regression, clustering, and dimensionality reduction.
QuantStart
quantstart.com › articles › Quant-Reading-List-Python-Programming
Quant Reading List Python Programming | QuantStart
Python is now firmly entrenched in the quant finance world. It is used extensively within investment banks and quantitative hedge funds, both as a research tool and production implementation language. While C++ still plays a significant part in mission-critical derivatives pricing libraries ...
QF-Lib
quarkfin.github.io › qf-lib-info
QF-Lib
QF-Lib is a modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance.
Wealthhubtrading
wealthhubtrading.com › complete-list-of-libraries-packages-and-resources-for-quants
Complete List of Libraries, Packages & Resources for Quants
NowTrade – Python library for backtesting technical/mechanical strategies in the stock and currency markets. pinkfish – A backtester and spreadsheet library for security analysis.
GitHub
github.com › goldmansachs › gs-quant
GitHub - goldmansachs/gs-quant: Python toolkit for quantitative finance · GitHub
February 21, 2026 - GS Quant is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms.
Starred by 10.1K users
Forked by 1.3K users
Languages Jupyter Notebook 51.6% | Python 48.4%
QuantEcon
quantecon.org › quantecon-py
QuantEcon.py – QuantEcon
Before installing quantecon we recommend you install the Anaconda Python distribution, which includes a full suite of scientific python tools.
PyPI
pypi.org › project › quant
quant · PyPI
You can create a Quant service in one step with the Quant installer. The installer will build a virtual Python environment, and install the Quant software.
» pip install quant
The Python Quants
home.tpq.io
Certificate in Python for Finance (CPF) — Become a Super Quant
YN checks, MCQs, focused drills, and full test projects with concise tutorials that reinforce central Python and quant topics. ... Create searchable, time-stamped notes while watching videos so you can resume exactly where you left off. Every CPF enrollment unlocks the complete digital library of Dr.
Nickmccullum
nickmccullum.com › best-python-libraries-quantitative-finance
The 5 Best Python Libraries for Quantitative Finance | Nick McCullum
March 16, 2020 - Pandas goes hand-in-hand with NumPy as one of the most widely-used libraries in quantitative finance. In fact, pandas (whose first letter is not normally capitalized) is so intertwined with NumPy that installing pandas will automatically install NumPy along with it. Because of this, it is actually somewhat rare so see a NumPy import in a Python program because it's automatically included with a pandas import.
Medium
medium.com › @akjha22 › a-curated-list-of-libraries-packages-and-resources-for-quants-2775fb6d8505
A Curated List of Libraries, Packages, and Resources for Quants | by Amit Kumar Jha | Medium
September 22, 2023 - QuantLib: A free/open-source library for quantitative finance. Backtrader: A Python framework for backtesting and trading.
PyQuant News
pyquantnews.com › the-pyquant-newsletter › know-most-important-libraries-python
Know the most important libraries in Python - PyQuant News
October 19, 2024 - Know the most important libraries in Python. Pandas, NumPy, and OpenBB: All critical for using Python in quant finance.
Kaggle
kaggle.com › general › 393811
4 Important Python Libraries for Quantitative Finance
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Gs
developer.gs.com › docs › gsquant
GS Quant - Goldman Sachs Developer
GS Quant is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms.
Gs
developer.gs.com › docs › gsquant › getting-started
Getting Started - Goldman Sachs Developer
GS Quant is a Python toolkit for quantitative finance, which provides access to derivatives pricing and risk capabilities through the Goldman Sachs developer APIs, as well as standalone packages for financial analytics.