pipeline VS algorithms

Compare pipeline vs algorithms and see what are their differences.

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pipeline algorithms
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55 764
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0.0 0.0
over 2 years ago about 3 years ago
Go Go
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.

pipeline

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

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

algorithms

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

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

What are some alternatives?

When comparing pipeline and algorithms you can also consider the following projects:

fsm - Finite State Machine for Go

gota - Gota: DataFrames and data wrangling in Go (Golang)

go-mcache - Fast in-memory key:value store/cache with TTL

null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.

go-datastructures - A collection of useful, performant, and threadsafe Go datastructures.

bit - Bitset data structure

ttlcache - An in-memory cache with item expiration and generics [Moved to: https://github.com/jellydator/ttlcache]

merkletree - A Merkle Tree implementation written in Go.

go-rquad - :pushpin: State of the art point location and neighbour finding algorithms for region quadtrees, in Go

gostl - Data structure and algorithm library for go, designed to provide functions similar to C++ STL