better_profanity
Blazingly fast cleaning swear words (and their leetspeak) in strings (by snguyenthanh)
dictionary
A list of the most popular English words. (by dolph)
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| better_profanity | dictionary | |
|---|---|---|
| 2 | 5 | |
| 184 | 332 | |
| - | - | |
| 0.0 | 0.0 | |
| 8 months ago | over 1 year ago | |
| Python | Python | |
| 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.
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.
better_profanity
Posts with mentions or reviews of better_profanity.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-25.
- need help finding list off offensive phrases.
-
How would you get variations on BAD words?
A few minutes on Google turned up this repo which may be of some value. And here is a lexicon of profane words, all from that repo.
dictionary
Posts with mentions or reviews of dictionary.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-28.
- Yesterday my mom and I had identical wordles. What is the actual probability of this happening?
-
Attributes of 25,322 commonly used word [OC]
Source: A github document with 25,322 popular words (https://github.com/dolph/dictionary/blob/master/popular.txt)
-
Attributes of 25,322 commonly used words [OC]
Source: I used a list of 25,322 popular words from a GitHub document (https://github.com/dolph/dictionary)
-
How can I traverse a word search?
I went ahead and wrote a simple program to do this using a trie. Using the 170k+ word enable1 word list, and your sample string, it finds
-
I Made a Wordle Clone With Cloudflare Workers
To start I found a list of common words, extracted all the five letters ones and put it in my dev environment. Then, I made a quick prototype backend in python, and the frontend you see now. After finishing that, I came up with an extremely overkill idea for hosting it: Hosting it on Cloudflare Edge using Cloudflare Workers for maximum speed and minimum latency. I navigated to the workers documentation, and got started, Workers made it incredibly easy to make this, and reduces my costs of running it to $0, all while being incredibly fast.
What are some alternatives?
When comparing better_profanity and dictionary you can also consider the following projects:
profanity-check - A fast, robust Python library to check for offensive language in strings.
opentaal-wordlist - 🇳🇱🇧🇪🇸🇷 Dutch word list by OpenTaal
ety-python - A Python module to discover the etymology of words
python-codext - Python codecs extension featuring CLI tools for encoding/decoding anything
bidict - The bidirectional mapping library for Python.
python - Official Python client library for kubernetes
word_forms - Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.
NudeNet - Neural Nets for Nudity Detection and Censoring
Wordle
alt-profanity-check
trace-dkey - Python library to trace path of a particular key inside a nested dict
better_profanity vs profanity-check
dictionary vs opentaal-wordlist
better_profanity vs opentaal-wordlist
dictionary vs ety-python
better_profanity vs python-codext
dictionary vs bidict
better_profanity vs python
dictionary vs word_forms
better_profanity vs NudeNet
dictionary vs Wordle
better_profanity vs alt-profanity-check
dictionary vs trace-dkey