pyhpc-benchmarks VS tf-quant-finance

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

pyhpc-benchmarks

A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket: (by dionhaefner)
Benchmarks Python Tensorflow Pytorch Jax cupy parallel-computing high-performance-computing GPU
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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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pyhpc-benchmarks tf-quant-finance
6 133
301 4,283
- 1.1%
3.2 2.9
4 months ago about 2 months ago
Python Python
The Unlicense 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.

pyhpc-benchmarks

Posts with mentions or reviews of pyhpc-benchmarks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-05.

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 pyhpc-benchmarks and tf-quant-finance you can also consider the following projects:

pyopencl - OpenCL integration for Python, plus shiny features

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

sqloxide - Python bindings for sqlparser-rs

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.

MATDaemon.jl

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

3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

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

XLA.jl - "Maybe we have our own magic."

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

XLA.jl - Julia on TPUs

kernel_tuner - Kernel Tuner

pyhpc-benchmarks vs pyopencl tf-quant-finance vs ta-lib-python pyhpc-benchmarks vs sqloxide tf-quant-finance vs mlfinlab pyhpc-benchmarks vs MATDaemon.jl tf-quant-finance vs gpustat pyhpc-benchmarks vs 3d-ken-burns tf-quant-finance vs pybobyqa pyhpc-benchmarks vs XLA.jl tf-quant-finance vs quantclean pyhpc-benchmarks vs XLA.jl tf-quant-finance vs kernel_tuner