probablepeople
random-text
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| probablepeople | random-text | |
|---|---|---|
| 1 | 1 | |
| 579 | 8 | |
| 0.5% | - | |
| 3.7 | 0.0 | |
| 18 days ago | almost 2 years ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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.
probablepeople
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PyWhat: Identify Anything
Some great probabilistic python libraries:
https://github.com/datamade/usaddress - "usaddress is a Python library for parsing unstructured address strings into address components, using advanced NLP methods."
https://github.com/datamade/probablepeople - "probablepeople is a python library for parsing unstructured romanized name or company strings into components, using advanced NLP methods."
random-text
What are some alternatives?
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FuckIt.py - The Python error steamroller.
Python-random-module-cracker - Predict python's random module generated values.
pyWhat - 🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙♀️
mining-pools - Known Bitcoin mining pool coinbase tags and coinbase output addresses. Generated files: https://github.com/bitcoin-data/mining-pools/tree/generated