tf-quant-finance VS pyshader

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

tf-quant-finance

High-performance TensorFlow library for quantitative finance. (by google)
Tensorflow quantitative-finance Python Finance numerical-methods numerical-optimization numerical-integration High Performance high-performance-computing GPU gpu-computing quantlib
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pyshader

Write modern GPU shaders in Python! (by pygfx)
GPU Shaders spirv Python

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tf-quant-finance pyshader
133 1
4,283 59
1.1% -
2.9 0.2
about 2 months ago over 3 years ago
Python Python
Apache License 2.0 BSD 2-clause "Simplified" 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.
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.

pyshader

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

What are some alternatives?

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

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

scalene - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

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.

gpustat - 📊 A simple command-line utility for querying and monitoring GPU status

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

lava - A Software Framework for Neuromorphic Computing

ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints

lava - Microsoft Azure Exploitation Framework

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

kernel_tuner - Kernel Tuner

tf-quant-finance vs ta-lib-python pyshader vs scalene tf-quant-finance vs mlfinlab pyshader vs gpustat tf-quant-finance vs pyhpc-benchmarks pyshader vs lava tf-quant-finance vs gpustat pyshader vs ImageAI tf-quant-finance vs pybobyqa pyshader vs lava tf-quant-finance vs quantclean tf-quant-finance vs kernel_tuner