depscope
Packages
IntegrateAPI DocsCuratorBenchmarkCoverage
Sign inGet API access
depscope/conda/r-parallelly

r-parallelly

condav1.47.0

Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by R options and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.

License LGPL-2.1-or-later34 versions1 maintainers0 deps4,342 weekly dl
HenrikBengtsson/parallelly
70
/ 100
Health
safe to use

[email protected] is safe to use (health: 70/100)

Health breakdown0 – 100
25/25
maintenance
6/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known
Maintainer trust
Active maintainers (3m)
1
Contributors (12m)
1
Primary author dominance
100%
GitHub stars
141
single active maintainer 3msingle author dominance

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/conda/r-parallelly

First published · 2020-11-03 16:06:48.820000+00:00

Last updated · 2026-04-17 08:21:07.924000+00:00

DepScope

Package intelligence for AI agents. 19 ecosystems.

Resources
API DocumentationHallucination BenchmarkFor EnterpriseSwagger / OpenAPIPopular PackagesCoverageAI Plugin SetupWatch the pitch (60s)
Legal
Legal hubPrivacy PolicyTerms of ServiceCookie PolicyAcceptable UseAttributionDPASub-processorsSecurityImprintContact中文
© 2026 Cuttalo srl — Italy · VAT IT03242390734Built for AI agents