DrIFT VS containers

Compare DrIFT vs containers and see what are their differences.

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DrIFT containers
- 11
2 314
- 0.6%
0.0 5.9
over 5 years ago 24 days 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.

DrIFT

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

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

containers

Posts with mentions or reviews of containers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-30.

What are some alternatives?

When comparing DrIFT and containers you can also consider the following projects:

naperian - Efficient representable functors

singletons - Fake dependent types in Haskell using singletons

functor-friends - Friendly helpers for your recursion schemes.

EdisonAPI - Edison: A Library of Efficient Data Structures

graphite - Haskell graphs and networks library

igraph - Incomplete Haskell bindings to the igraph library (which is written in C)

containers - Bitnami container images

hevm - Dapp, Seth, Hevm, and more

Agda - Agda is a dependently typed programming language / interactive theorem prover.

miso - :ramen: A tasty Haskell front-end framework

indexed-containers

btree-concurrent - A backend agnostic, concurrent BTree written in Haskell

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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www.saashub.com
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