portfolio_allocation_js VS deepdow

Compare portfolio_allocation_js vs deepdow and see what are their differences.

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portfolio_allocation_js deepdow
1 22
169 842
- -
0.0 3.7
about 1 year ago 4 months ago
JavaScript Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

portfolio_allocation_js

Posts with mentions or reviews of portfolio_allocation_js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-13.

deepdow

Posts with mentions or reviews of deepdow. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing portfolio_allocation_js and deepdow you can also consider the following projects:

Optimization-Python - General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

pytorch-forecasting - Time series forecasting with PyTorch

igc-xc-score - A scoring program for gliding competitions striving for 100% accuracy and determinism

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

pyrb - Constrained and Unconstrained Risk Budgeting / Risk Parity Allocation in Python

Riskfolio-Lib - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Clarabel.rs - Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.

cvxportfolio - Portfolio optimization and back-testing.

Quantropy - Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.