TatSu VS base2048

Compare TatSu vs base2048 and see what are their differences.

TatSu

竜 TatSu generates Python parsers from grammars in a variation of EBNF (by neogeny)

base2048

Binary encoding optimised for Twitter (by qntm)
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TatSu base2048
4 18
391 821
1.8% -
9.0 4.0
about 1 month ago 3 months ago
Python JavaScript
GNU General Public License v3.0 or later 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.

TatSu

Posts with mentions or reviews of TatSu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-07.

base2048

Posts with mentions or reviews of base2048. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-17.

What are some alternatives?

When comparing TatSu and base2048 you can also consider the following projects:

Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

ecoji - Encodes (and decodes) data as emojis

Covfefe - A parser for nondeterministic context free languages

Base256 - Encode and decode data in base 256 easily typed words

pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]

hatetris - Tetris which always gives you the worst piece

participle - A parser library for Go

Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273 - RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vaccines for COVID-19, these synthetic mRNAs have become broadly distributed RNA species in numerous human populations. Despite their ubiquity, sequences are not always available for such RNAs. Standard methods facilitate such sequencing. In this note, we provide experimental sequence information for the RNA components of the initial Moderna (https://pubmed.ncbi.nlm.nih.gov/32756549/) and Pfizer/BioNTech (https://pubmed.ncbi.nlm.nih.gov/33301246/) COVID-19 vaccines, allowing a working assembly of the former and a confirmation of previously reported sequence information for the latter RNA. Sharing of sequence information for broadly used therapeutics has the benefit of allowing any researchers or clinicians using sequencing approaches to rapidly identify such sequences as therapeutic-derived

merlin - Context sensitive completion for OCaml in Vim and Emacs

DumbIdeas

chpeg - Parsing Expression Grammar (PEG) bytecode parser/compiler library

klaxon - Klaxon enables reporters and editors to monitor scores of sites on the web for newsworthy changes.