BERT-NER VS postmaniac

Compare BERT-NER vs postmaniac and see what are their differences.

postmaniac

Postman OSINT tool to extract creds, token, username, email & more from Postman Public Workspaces (by boringthegod)
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BERT-NER postmaniac
1 1
1,182 135
- -
0.0 5.3
almost 3 years ago 6 months ago
Python Python
GNU Affero General Public License v3.0 GNU General Public License v3.0 only
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.

BERT-NER

Posts with mentions or reviews of BERT-NER. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-08.

postmaniac

Posts with mentions or reviews of postmaniac. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing BERT-NER and postmaniac you can also consider the following projects:

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

GHunt - 🕵️‍♂️ Offensive Google framework.

flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)

media-api-samples - Simple sample code examples for calling Dolby.io Media APIs

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

TWINT - An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

sherlock - 🔎 Hunt down social media accounts by username across social networks

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

spiderfoot - SpiderFoot automates OSINT for threat intelligence and mapping your attack surface.

FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Photon - Incredibly fast crawler designed for OSINT.