pipeline
Pipelines using goroutines (by hyfather)
bloom
Bloom filters implemented in Go. (by zentures)
pipeline | bloom | |
---|---|---|
- | - | |
56 | 146 | |
- | 0.0% | |
0.0 | 0.0 | |
over 3 years ago | about 7 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.
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.
bloom
Posts with mentions or reviews of bloom.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning bloom yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing pipeline and bloom you can also consider the following projects:
fsm - Finite State Machine for Go
go-adaptive-radix-tree - Adaptive Radix Trees implemented in Go
go-mcache - Fast in-memory key:value store/cache with TTL
willf/bloom - Go package implementing Bloom filters, used by Milvus and Beego.
go-rquad - :pushpin: State of the art point location and neighbour finding algorithms for region quadtrees, in Go
trie - Data structure and relevant algorithms for extremely fast prefix/fuzzy string searching.