rd-parse
Preql
| rd-parse | Preql | |
|---|---|---|
| 1 | 16 | |
| 102 | 599 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | almost 2 years ago | |
| JavaScript | Python | |
| MIT License | GNU General Public License v3.0 or later |
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rd-parse
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Pql, a pipelined query language that compiles to SQL (written in Go)
I also wrote a parser (in typescript) for postgres (https://github.com/ivank/potygen), and it turned out quite the educational experience - Learned _a lot_ about the intricacies of SQL, and how to build parsers in general.
Turned out in webdev there are a lot of instances where you actually want a parser - legacy places where they used to save things in plane text for example, and I started seeing the pattern everywhere.
Where I would have reached for some monstrosity of a regex to solve this, now I just whip out a recursive decent parser and call it a day, takes surprisingly small amount of code! (https://github.com/dmaevsky/rd-parse)
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?
prql - PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
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.
rel8 - Hey! Hey! Can u rel8?
malloy - Malloy is an experimental language for describing data relationships and transformations.
db-benchmark - reproducible benchmark of database-like ops
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
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
spyql - Query data on the command line with SQL-like SELECTs powered by Python expressions
jrutil
cupscript - CupScript Is A Simple Scripting Language Completely Created Using Python
BQL - BQL: A Better Query Language, SQL Superset
data-diff - Compare tables within or across databases