Recognizers-Text
DateTimeExtensions
| Recognizers-Text | DateTimeExtensions | |
|---|---|---|
| 10 | - | |
| 1,644 | 642 | |
| 0.2% | - | |
| 6.5 | 7.1 | |
| 6 months ago | 9 days ago | |
| C# | C# | |
| MIT License | GNU General Public License v3.0 or later |
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Recognizers-Text
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Automatisiert Kalendereinträge erstellen aus Mails mit Formatlosen Datumsangaben
Microsoft hat da ein hilfreiches Package für .NET, Java, Node.js und Python: https://github.com/microsoft/Recognizers-Text
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Microsoft.Recognizers.Text for JavaScript
https://github.com/microsoft/Recognizers-Text/tree/master/.N...
I think these examples explain the functionality very well.
- An effective library for recognising numbers/units/datetime across languages
- Recognizer Library That's Effective
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How do I use ML.NET to extract dates out of strings
https://github.com/microsoft/Recognizers-Text/tree/master/.NET#microsoftrecognizerstextdatetime
DateTimeExtensions
We haven't tracked posts mentioning DateTimeExtensions yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
wink-nlp - Developer friendly Natural Language Processing ✨
NodaTime - A better date and time API for .NET
Superpower - A C# parser construction toolkit with high-quality error reporting
Exceptionless.DateTimeExtensions - DateTimeRange, Business Day and various DateTime, DateTimeOffset, TimeSpan extension methods
CSLY - a C# embeddable lexer and parser generator (.Net core)
ابزار Persian Tools - Persian Tools for .NET Framework and .NET Core: Shamsi date convertor, All Iranian calendar holidays. Iranian City and provinces, Iranian national ID verification.
Sprache - A tiny, friendly, C# parser construction library
SimpleDateTimeProvider - A simple abstraction over C#'s DateTime.Now, DateTime.Today and DateTime.UtcNow so you can control these values in your tests. No longer do you have to attempt shenanigans in your tests to handle when you need to use those values in your code.
Pidgin - A lightweight and fast parsing library for C#.
duckling - Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.