success VS jump

Compare success vs jump and see what are their differences.

success

A version of Either specialised for encoding of success or failure (by nikita-volkov)

jump

Jump start your Haskell development (by commercialhaskell)
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success jump
- -
4 158
- 0.0%
0.0 0.0
about 8 years ago over 7 years ago
Haskell
MIT License MIT 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.

success

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

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

jump

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

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

What are some alternatives?

When comparing success and jump you can also consider the following projects:

refined - Refinement types with static checking

stdf - Parse Structured Test Data Format in Haskell

lens - Lenses, Folds, and Traversals - Join us on web.libera.chat #haskell-lens

semantic-source - Parsing, analyzing, and comparing source code across many languages

protobuf - An implementation of Google's Protocol Buffers in Haskell.

thyme

unordered-containers - Efficient hashing-based container types

gps2htmlReport - Generates a HTML page report detailing a GPS journey, with charts, statistics and an OpenStreetMap graphic.

json-autotype - Automatic Haskell type inference from JSON input

HaLeX

code-builder - Packages for defining APIs, running them, generating client code and documentation.

cereal