
PyWordle by ncummins1
Cheat in Wordle! Provides up to 5 of the most statistically likely "best guesses" for Wordle/Wordler.
You'll need Firefox to use this extension
Extension Metadata
About this extension
This addon connects to a PythonAnywhere service that parses through the HTML of Wordle/Wordler to extract your current game state, calculate the best words to guess, and displays the first 5, from most to least likely.
How to use it?
When you're playing a game, open on your "Extensions" drop-down, and click on the PyWordle icon. If you haven't played a word yet, the program will display "roate," which is the mathematically best starting word. To get new hints, click the icon again, and it will calculate the best 5 words for each round!
How does it work?
According to the New York Times, their editors select words daily from the Oxford English Dictionary. Unfortunately, the OED, with over 600,000 words, is behind a paywall, locked only for researchers with license access. To get around this, I generated a list of 2,250,601 possible combinations of 5 letters based on the phonetic and written limitations of English. After cross-referencing with the OED website using an automated Python script, we found 39,513 valid words. Many of these words, however, are archaic, obsolete, and/or outdated. To adjust for this, I used the 2012 Google Ngram dataset, which describes the frequency between the years 1500 and 2012 every word in the Google Books library appears, to calculate a # instances per million words for every valid word. For example, the word "words" appears, on average, 466.08 times for every million English words.
The Wordle rules are simple:
- "absent" letters will never appear
- "present" letters are present, but in the wrong location
- "correct" letters are...correct
Using this as a filter, we can easily determine every possible word for a given game state, and after sorting by the frequency, we can get what word the Editors, who chose the words, most likely selected.
GitHub: nolan-cummins
How to use it?
When you're playing a game, open on your "Extensions" drop-down, and click on the PyWordle icon. If you haven't played a word yet, the program will display "roate," which is the mathematically best starting word. To get new hints, click the icon again, and it will calculate the best 5 words for each round!
How does it work?
According to the New York Times, their editors select words daily from the Oxford English Dictionary. Unfortunately, the OED, with over 600,000 words, is behind a paywall, locked only for researchers with license access. To get around this, I generated a list of 2,250,601 possible combinations of 5 letters based on the phonetic and written limitations of English. After cross-referencing with the OED website using an automated Python script, we found 39,513 valid words. Many of these words, however, are archaic, obsolete, and/or outdated. To adjust for this, I used the 2012 Google Ngram dataset, which describes the frequency between the years 1500 and 2012 every word in the Google Books library appears, to calculate a # instances per million words for every valid word. For example, the word "words" appears, on average, 466.08 times for every million English words.
The Wordle rules are simple:
- "absent" letters will never appear
- "present" letters are present, but in the wrong location
- "correct" letters are...correct
Using this as a filter, we can easily determine every possible word for a given game state, and after sorting by the frequency, we can get what word the Editors, who chose the words, most likely selected.
GitHub: nolan-cummins
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PermissionsLearn more
Required permissions:
- Access your data for sites in the nytimes.com domain
- Access your data for sites in the wordly.org domain
Optional permissions:
- Access your data for sites in the nytimes.com domain
- Access your data for sites in the wordly.org domain
- Access your data for ncummins1.pythonanywhere.com
More information
- Add-on Links
- Version
- 1.0
- Size
- 22.47 kB
- Last updated
- a month ago (30 May 2025)
- Related Categories
- Licence
- MIT Licence
- Version History
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