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Box Alternatives
Similar projects and alternatives to box
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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uktrade
An R package containing convenient functions to load HMRC Overseas Trade Statistics, Regional Trade Statistics, and custom URLs using HMRC's API.
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SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better box alternative or higher similarity.
box reviews and mentions
Posts with mentions or reviews of box.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
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Can someone explain how R project are organized and deployed?
As for organising code within a project, as mentioned packages really don’t allow this beyond collation order. The best solution in this space is the ‘box’ package which implements a fully-featured module system for R. ‘box’ notably gets used by some folks to implement large-scale Shiny applications; if this is what you’re after, I would recommend the ‘rhino’ framework, which builds upon Siny and ‘box’.
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Does anyone feel like R is actually vastly worse for dependency/environment management than Python?
I would look into box https://github.com/klmr/box if you haven’t heard of it already
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"Managing large codebases in R" webinar (Oct. 6, 2022)
Shapeless plug: check out the already mentioned ‘box’, I think it’s strictly superior to ‘import’ (but I’m biased).
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Restructuring a large R project. Need advice on how to wire up file paths and associated objects.
I think your use-case is best addressed by the ‘targets’ package. But I would also recommend checking out the ‘box’ package for a more general way of structuring R projects in modules which isn’t supported well natively by R (disclaimer: I wrote that package). Writing R code as modules fundamentally side-steps the issue of having to deal with absolute paths. Instead, all code and data are either contained in the module or can be accessed relative to the working directory.
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How do you organize your code snippets/notes?
Check out ‘box’, it’s designed precisely to solve (most of) your issues. Namely, it allows you to organise your R code files into (nested) modules, which can either be part of one project, or they can be stored centrally, and reused seamlessly across projects. It also allows you to document your code and makes this documentation available just like package documentation.
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Creating your own R package
I'll also name drop the Box package, which serves like a middle of the road option between creating packages and sourcing scripts. It allows you to treat scripts (and the functions inside them) like packages without having to go through all the extra steps to build packages. In that way, it's more similar to creating and importing python modules.
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import functions from a package without loading the package
I don't fully understand what happens when you attach a package, so I can't speak to your question about side-effects. However, if you're looking for an alternative, possibly safer, strategy, you might try the package box.
There is: use the ‘box’ package. It allows this and more. In your specific case, you’d write
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Reference project for an R 2+2=4 style application coverage, testthat and a build file
That said, I’ve been playing with a framework for command line applications in R (as a ‘box’ module), and I guess you could call the example application “2+2=4” style (it’s a command line calculator, complete with automatically generated option parser etc.).
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What would you like to see from an R2 / R++ / R#
You can do that with ‘box’, check it out!
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Stats
Basic box repo stats
31
808
7.8
7 days ago
klmr/box is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of box is R.
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