Lark
Preql
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| Lark | Preql | |
|---|---|---|
| 35 | 16 | |
| 4,481 | 594 | |
| 2.9% | - | |
| 7.5 | 0.0 | |
| 11 days ago | over 1 year ago | |
| Python | Python | |
| MIT License | 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.
Lark
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Show HN: I wrote a RDBMS (SQLite clone) from scratch in pure Python
Lark supports, and recommends, writing and storing the grammar in a .lark file. We have syntax highlighting support in all major IDEs, and even in github itself. For example, here is Lark's built-in grammar for Python: https://github.com/lark-parser/lark/blob/master/lark/grammar...
You can also test grammars "live" in our online IDE: https://www.lark-parser.org/ide/
The rationale is that it's more terse and has less visual clutter than a DSL over Python, which makes it easier to read and write.
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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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Hey guys, have any of you tried creating your own language using Python? I'm interested in giving it a shot and was wondering if anyone has any tips or resources to recommend. Thanks in advance!
It's not super maintained but you might enjoy building something with ppci, Pure Python Compiler Infrastructure. It has some front-ends and some back-ends. There's also PeachPy for an assembler. People like using Lark for parsing, I hear.
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Is it possible to propagate higher level constructs (+, *) to the generated parse tree in an LR-style parser?
lark, a parsing library where I am somewhat involved has a really nice solution to this: Rules starting with _ are inlined in a post processing step.
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can you create your own program language in python, if yes how?
Lark is a good library to assist with this.
- Lark a Python lexer/parser library
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Create your own scripting language in Python with Sly
If I may ask, did you consider Lark, and if so, why wasn't it fit for your purposes?
- Creating a language with Python.
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Not Your Grandfather’s Perl
A grammar provides the high level constructs you need to define the "shape" of your data, and it largely takes care of the rest. Grammar libraries exist in other language (eg. lark or Parsimonius in Python) and they weren't created just to make XML parsing easier.
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Earley Parsing Explained
I made a solid attempt at an Earley parser framework of my own, but apparently to get the most reliable performance from Earley parsing you need to implement Joop Leo's improvement for right-recursive grammars, which nobody has been able to adequately explain to me. I've read Kegler's open letter to Vaillant, I've tried to read other implementations, I've even tried to beat my head against the original academic paper, but I don't have the background knowledge to make sense of it all.
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?
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]
prql - PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
PLY - Python Lex-Yacc
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.
pydantic - Data validation using Python type hints
rel8 - Hey! Hey! Can u rel8?
sqlparse - A non-validating SQL parser module for Python
malloy - Malloy is an experimental language for describing data relationships and transformations.
Atoma - Atom, RSS and JSON feed parser for Python 3
db-benchmark - reproducible benchmark of database-like ops
Construct - Construct: Declarative data structures for python that allow symmetric parsing and building
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