Download
This package provides a flexible & efficient time series class, TS, for the Julia programming language. While still early in development, the overarching goal is for the class to be able to slice & dice data with the rapid prototyping speed of R's xts and Python's pandas packages, while retaining the performance one expects from Julia. See the documentation for a more in-depth look at the package and some of the pain points it may solve when doing technical research with time series data.
Features
- Documentation available
- Time series implementation for the Julia language
- Focused on efficiency and flexibility
- The overarching goal is for the class to be able to slice & dice data with the rapid prototyping speed of R's xts and Python's pandas packages
- Financial market technical analysis indicators with wrappers
- Visualization is offered through the Plots.jl package
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow Temporal.jl
Other Useful Business Software
Build Data Resilience - Take the Assessment Today
Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Temporal.jl!
