pybobyqa VS tf-quant-finance

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

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
pybobyqa tf-quant-finance
1 133
71 4,283
- 1.4%
5.8 2.9
19 days ago about 2 months ago
Python Python
GNU General Public License v3.0 only 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.

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.

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.

What are some alternatives?

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

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

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

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.

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.

PyGenetic - A multi-purpose genetic algorithm written in python

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

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

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

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

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

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

kernel_tuner - Kernel Tuner