direct-sqlite VS groundhog

Compare direct-sqlite vs groundhog and see what are their differences.

groundhog

This library maps datatypes to a relational model, in a way similar to what ORM libraries do in OOP. See the tutorial https://www.schoolofhaskell.com/user/lykahb/groundhog for introduction (by lykahb)
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direct-sqlite groundhog
- 1
35 176
- -
6.7 0.0
3 months ago over 1 year ago
C Haskell
MIT 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.

direct-sqlite

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

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

groundhog

Posts with mentions or reviews of groundhog. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-05.

What are some alternatives?

When comparing direct-sqlite and groundhog you can also consider the following projects:

mbtiles - Haskell MBTiles Library

mywatch

influxdb - InfluxDB client library for Haskell

esqueleto - Bare bones, type-safe EDSL for SQL queries on persistent backends.

memcache - Haskell Memcached Client

HongoDB - A Simple Key Value Store

haskey-btree - B+-tree implementation in Haskell

hocilib - A lightweight Haskell binding to the OCILIB C API

hasql - The fastest PostgreSQL libpq-based driver for Haskell

dbcleaner - DEPRECATED: A simple database cleaner library for testing

ampersand - Build database applications faster than anyone else, and keep your data pollution free as a bonus.