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Capstone Investment Advisors
- United States of America
- www.tcopp.com
- @tcopp
Stars
Lightning ⚡️ fast forecasting with statistical and econometric models.
High performance datastore for time series and tick data
A flexible, intuitive and fast forecasting library
❄️ Building Python CLI using docstrings and typehints 🐍
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
SQL databases in Python, designed for simplicity, compatibility, and robustness.
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
The kitchen sink of Python utility libraries for doing "stuff" in a functional way. Based on the Lo-Dash Javascript library.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
OBSOLETE - Dash v2.11+ has Jupyter support built in!
📘 The interactive computing suite for you! ✨
High-performance TensorFlow library for quantitative finance.
Backstage is an open framework for building developer portals
Jupyter handsontable integration
The machine learning toolkit for time series analysis in Python
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Turn Python scripts into handouts with Markdown and figures
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning