pipeline VS ttlcache

Compare pipeline vs ttlcache and see what are their differences.

ttlcache

An in-memory cache with item expiration and generics [Moved to: https://github.com/jellydator/ttlcache] (by ReneKroon)
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pipeline ttlcache
- 2
56 388
- -
0.0 6.4
over 3 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.

ttlcache

Posts with mentions or reviews of ttlcache. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-25.

What are some alternatives?

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

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

gocache - ☔️ A complete Go cache library that brings you multiple ways of managing your caches

fsm - Finite State Machine for Go

golang-set - A simple, battle-tested and generic set type for the Go language. Trusted by Docker, 1Password, Ethereum and Hashicorp.

bloom - Bloom filters implemented in Go.

gods - GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more

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Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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Did you know that Go is
the 4th most popular programming language
based on number of references?