python-pickle VS inline-java

Compare python-pickle vs inline-java and see what are their differences.

python-pickle

Serialization/deserialization using Python Pickle format (by noteed)

inline-java

Haskell/Java interop via inline Java code in Haskell modules. (by tweag)
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python-pickle inline-java
- 2
14 228
- 0.0%
5.5 5.5
3 months ago 5 months 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.

python-pickle

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

We haven't tracked posts mentioning python-pickle yet.
Tracking mentions began in Dec 2020.

inline-java

Posts with mentions or reviews of inline-java. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-30.

What are some alternatives?

When comparing python-pickle and inline-java you can also consider the following projects:

ghci-ng

bumper - Haskell tool to automatically bump package versions transitively.

dhall-check - Check all the .dh files in a directory against a given type signature

inline-c-cpp

shuffle - Shuffle tool used by UHC (Utrecht Haskell Compiler)

castle - A tool to manage shared cabal-install sandboxes.

clone-all - clone all the github repositories of a particular user.

inline-c

hpc-threshold - Small utility for validating whether HPC result is above defined thresholds

zeromq-haskell

gipeda - Git Performance Dashboard

stgi - A user-centric visual STG implementation to help understand GHC/Haskell's execution model.