tf-quant-finance VS pybobyqa

Compare tf-quant-finance vs pybobyqa and see what are their differences.

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tf-quant-finance pybobyqa
133 1
4,283 71
1.1% -
2.9 5.8
about 2 months ago 21 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
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.

tf-quant-finance

Posts with mentions or reviews of tf-quant-finance. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-17.

pybobyqa

Posts with mentions or reviews of pybobyqa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-28.

What are some alternatives?

When comparing tf-quant-finance and pybobyqa you can also consider the following projects:

ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

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.

prima - PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.

pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:

PyGenetic - A multi-purpose genetic algorithm written in python

gpustat - ๐Ÿ“Š A simple command-line utility for querying and monitoring GPU status

WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.

quantclean - ๐Ÿงน Quantclean is a program that reformats financial dataset to US Equity TradeBar (Quantconnect format)

Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

kernel_tuner - Kernel Tuner

BayesianOptimization - A Python implementation of global optimization with gaussian processes.