rss VS hasql-dynamic-statements

Compare rss vs hasql-dynamic-statements and see what are their differences.

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rss hasql-dynamic-statements
- 1
18 5
- -
3.4 5.6
9 months ago 2 months ago
Haskell Haskell
LicenseRef-PublicDomain 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.

rss

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

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

hasql-dynamic-statements

Posts with mentions or reviews of hasql-dynamic-statements. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-09.
  • Persistent vs. beam for production database
    2 projects | /r/haskell | 9 Feb 2023
    In typical CRUD applications you can get a long way with type-checked plain SQL and tuples via hasql-th, which is a great time saver at prototyping. Later on when you have more conditional logic in your queries you can gradually substitute it with dynamic statements. It works very well in production where you incrementally refine your own high-level abstractions with appropriate encoders/decoders, you can even build your own DSL on top of it, instead of relying on pre-defined query building APIs of Persistent and Beam. But again, both Persistent and Beam will work well too.

What are some alternatives?

When comparing rss and hasql-dynamic-statements you can also consider the following projects:

reflex-dom-pandoc - Render Pandoc documents in reflex-dom

logging-effect - A very general logging effect for Haskell

bit-stream - Lazy infinite compact streams with cache-friendly O(1) indexing and applications for memoization

aeson-json-ast - Integration layer for "json-ast" and "aeson"

dependent-sum-template

hworker - A reliable at-least-once job queue built on Redis.

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Did you know that Haskell is
the 25th most popular programming language
based on number of references?