psi4numpy VS Optimization-Python

Compare psi4numpy vs Optimization-Python and see what are their differences.

psi4numpy

Combining Psi4 and Numpy for education and development. (by psi4)
Python psi Numpy Tutorial Scipy computational-chemistry
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Optimization-Python

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python (by tirthajyoti)
Optimization linear-programming integer-programming mixed-integer-programming quadratic-programming Scipy convex-optimization
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psi4numpy Optimization-Python
1 1
324 221
1.5% -
3.7 0.0
4 months ago over 2 years ago
Jupyter Notebook Jupyter Notebook
BSD 3-clause "New" or "Revised" License MIT License
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.
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psi4numpy

Posts with mentions or reviews of psi4numpy. We have used some of these posts to build our list of alternatives and similar projects.

Optimization-Python

Posts with mentions or reviews of Optimization-Python. We have used some of these posts to build our list of alternatives and similar projects.
  • What is the best DCA Strategy - Part IV (Dynamic DCA)
    1 project | /r/CryptoCurrency | 25 Aug 2021
    One approach to this problem is based on the Nobel prize winning Modern Portfolio Theory (MPT). In fact, there we can use pretty simple code available online: https://github.com/tirthajyoti/Optimization-Python/blob/master/Portfolio_optimization.ipynb. There is a one BIG difference between DCA and MPT though. Here, we do not want to do a one-time purchase and try to gain maximum profit. We are looking at a dual problem, where we want to purchase regularly, while aiming maximum accumulation.

What are some alternatives?

When comparing psi4numpy and Optimization-Python you can also consider the following projects:

alphalens - Performance analysis of predictive (alpha) stock factors

market-making-backtest - algo trading backtesting on BitMEX

portfolio_allocation_js - A JavaScript library to allocate and optimize financial portfolios.

cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."

JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Optimus * 96 - Optimus is a mathematical programming library for Scala.

analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico

minizinc-python - Access to all MiniZinc functionality directly from Python

notebooks - Optimization notebooks

psi4numpy vs alphalens Optimization-Python vs market-making-backtest Optimization-Python vs portfolio_allocation_js Optimization-Python vs cocp Optimization-Python vs JuMP.jl Optimization-Python vs Optimus * 96 Optimization-Python vs analisis-numerico-computo-cientifico Optimization-Python vs minizinc-python Optimization-Python vs notebooks