errors VS deepseq

Compare errors vs deepseq and see what are their differences.

errors

Type-safe error handling (by Gabriella439)
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errors deepseq
- 4
64 40
- -
3.1 5.6
11 months ago 14 days ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
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.

errors

Posts with mentions or reviews of errors. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning errors yet.
Tracking mentions began in Dec 2020.

deepseq

Posts with mentions or reviews of deepseq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-20.

What are some alternatives?

When comparing errors and deepseq you can also consider the following projects:

time-warp

deepseq-th - (Deprecated) Template Haskell deriver for NFData instances

effect-monad - Provides 'graded monads' and 'parameterised monads' to Haskell, enabling fine-grained reasoning about effects.

deepseq-generics - GHC.Generics-based Control.DeepSeq.rnf implementation

mmorph - Monad morphisms

deepseq-instances - Candidate NFData Instances for Types in base

frpnow

deepseq-magic - Deep evaluation of data structures without NFData

sessiontypes

lens-tutorial - The missing tutorial module for the lens library

exceptions - mtl friendly exceptions

layers - Modular type class machinery for monad transformer stacks.

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InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
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