pyaf

benchmark

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

How to download and setup pyaf

Open terminal and run command

git clone https://github.com/antoinecarme/pyaf.git

git clone is used to create a copy or clone of pyaf repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with pyaf https://github.com/antoinecarme/pyaf/archive/master.zip

Or simply clone pyaf with SSH

[email protected]:antoinecarme/pyaf.git

If you have some problems with pyaf

You may open issue on pyaf support forum (system) here: https://github.com/antoinecarme/pyaf/issues

Similar to pyaf repositories

Here you may see pyaf alternatives and analogs

netdata fashion-mnist FrameworkBenchmarks BenchmarkDotNet jmeter awesome-semantic-segmentation sysbench hyperfine tsung benchmark_results across web-frameworks php-framework-benchmark jsperf.com go-web-framework-benchmark huststore phoronix-test-suite Attabench ann-benchmarks sbt-jmh caffenet-benchmark chillout IocPerformance prophiler TBCF NBench sympact awesome-http-benchmark BlurTestAndroid pytest-benchmark