rel8
Preql
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| rel8 | Preql | |
|---|---|---|
| 5 | 16 | |
| 147 | 594 | |
| 2.7% | - | |
| 7.7 | 0.0 | |
| 20 days ago | over 1 year ago | |
| Haskell | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
rel8
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Choosing the right abstraction level for SQLite library.
I also mention https://github.com/circuithub/rel8 on posts like these since I think it should be more well-known.
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What's your favorite Database EDSL/library in Haskell?
I'm sensing a trend here, but .... https://rel8.readthedocs.io/ because I wrote it ':D
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[ANN] Generic-Persistence 0.3.0 released
Does this work with https://github.com/circuithub/rel8?
- Against SQL
- [video] Ollie Charles: Rel8, a new database access library for Haskell
Preql
- Pql, a pipelined query language that compiles to SQL (written in Go)
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PRQL, Pipelined Relational Query Language
Hm, I just realized there are two similar projects with very similar names: this one, and
https://github.com/erezsh/Preql
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Oops, I wrote yet another SQLAlchemy alternative (looking for contributors!)
First, let me introduce myself. My name is Erez. You may know some of the Python libraries I wrote in the past: Lark, Preql and Data-diff.
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Why don't SQL transpilers take off?
Example of language that implements this: https://github.com/erezsh/Preql
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Even Babies fear … Fu**ing SQL
But what about PreQL?
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Show HN: PRQL – A Proposal for a Better SQL
It seems people here are really interested in alternatives to SQL. So perhaps you'd also like to have a look at https://github.com/erezsh/Preql
(Same name, same goal, different approach, and already working)
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Made a Programing language using python
There's also lark, which is used by a plethora of projects (I haven't used it, but I heard about PreQL on a podcast where they talk for a bit about what it's like to develop a new language in lark)
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A primer on programming languages for data science
Just want to mention preql exists as an option - https://github.com/erezsh/Preql
- Ask HN: SQL tooling: REPL-likes, Intellisense, etc.
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Against SQL
I share the author's point of view, which led me to start a new relational programming language that compiles to SQL. If that sounds interesting, you can find it here: https://github.com/erezsh/Preql
What are some alternatives?
opaleye
prql - PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
PyPika - PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
malloy - Malloy is an experimental language for describing data relationships and transformations.
fquery - A graph query engine
db-benchmark - reproducible benchmark of database-like ops
cimple - Cimple and Apidsl language parsers and tools
generic-persistence - GenericPersistence is a Haskell persistence library for relational databases. The approach relies on GHC.Generics. A real-world demo can be found here: