Twitter Text Obj VS base2048

Compare Twitter Text Obj vs base2048 and see what are their differences.

Twitter Text Obj

Twitter Text Libraries. This code is used at Twitter to tokenize and parse text to meet the expectations for what can be used on the platform. (by twitter)

base2048

Binary encoding optimised for Twitter (by qntm)
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Twitter Text Obj base2048
9 18
3,056 821
0.2% -
0.0 4.0
7 days ago 3 months ago
HTML JavaScript
Apache License 2.0 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.

Twitter Text Obj

Posts with mentions or reviews of Twitter Text Obj. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-17.

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 Twitter Text Obj and base2048 you can also consider the following projects:

MarkdownTextView - Rich Markdown editing control for iOS

ecoji - Encodes (and decodes) data as emojis

YYText - Powerful text framework for iOS to display and edit rich text.

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

Iconic - :art: Auto-generated icon font library for iOS, watchOS and tvOS

hatetris - Tetris which always gives you the worst piece

DTCoreText - Methods to allow using HTML code with CoreText

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

Atributika - Convert text with HTML tags, links, hashtags, mentions into NSAttributedString. Make them clickable with UILabel drop-in replacement.

TatSu - 竜 TatSu generates Python parsers from grammars in a variation of EBNF

PhoneNumberKit - A Swift framework for parsing, formatting and validating international phone numbers. Inspired by Google's libphonenumber.

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