Authenticator
Aegis Authenticator
andOTP
Authenticator Plus
OTP Auth
TOTP Authenticator
Tofu Authenticator
OTPClient
spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
OpenNLP
NLTK
PyNLPl
AuthenticatorAuthenticator (mattrubin.me) is recommended for individuals and professionals who need a reliable and easy-to-use solution for managing two-factor authentication codes across multiple accounts. It's ideal for users who value open-source software and prioritize security without the need for additional features commonly found in more complex applications.
Based on our record, spaCy seems to be a lot more popular than Authenticator. While we know about 65 links to spaCy, we've tracked only 4 mentions of Authenticator. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
PS. At the moment Iโm using this one. Itโs really good but itโs missing an export feature. Source: over 3 years ago
For iOS? Authenticator - it's open-source and about as simple as it gets. Source: over 3 years ago
For iOS offline, you could go with Tofu or Authenticator. These are open-source alternatives. Source: almost 4 years ago
2FA: This is a necessity for all online accounts nowadays, but it is important to store your TOTP codes somewhere trusted and secure. Services like Authy are cloud-based and proprietary, meaning that no one can verify their privacy and security claims. Cloud-based applications are risky as it is, and it is best to keep your codes somewhere local on your devices, such as Aegis for Android, or Authenticator for iOS.... Source: almost 5 years ago
We use spaCyโs en_core_web_lg (Large) model as the underlying NLP engine. This gives the Redactor the linguistic context to understand that "Gatsby" in a book title should stay, but "Gatsby" mentioned as a person's name in a private letter might need to go. - Source: dev.to / 4 months ago
For NER, if accuracy is critical, go with an LLM โ even an old one like gemma-3-27b-it will outperform tools or small models trained for this task. But by using an LLM you are exposing your data, making an HTTP request, and most likely incurring a cost. If accuracy is not critical and you want to stay in Javascript, compromise is a good package for NER. If you want an even better package and it's OK not using... - Source: dev.to / 5 months ago
For more advanced food label AI, combine pattern matching with Named Entity Recognition (NER). Libraries like spaCy (Python) or compromise (JavaScript) can identify amounts, units, and nutrient names even in noisy text. - Source: dev.to / 5 months ago
For complex or highly variable menus, consider using NLP libraries like spaCy (Python) or fine-tuning a transformer-based NER model (e.g., BERT) to identify dish names and prices. - Source: dev.to / 6 months ago
Open-Source NLP Libraries: Python libraries like spaCy, NLTK, and Hugging Face Transformers for building custom models. - Source: dev.to / 8 months ago
Aegis Authenticator - Aegis Authenticator is a free, secure and open source app to manage your 2-step verification tokens...
Amazon Comprehend - Discover insights and relationships in text
andOTP - andOTP is a two-factor authentication App for Android 4.4+
Google Cloud Natural Language API - Natural language API using Google machine learning
Authenticator Plus - Authenticator Plus generates 2-step verification codes and lets you synchronize your accounts.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.