ceja VS TextDistance

Compare ceja vs TextDistance and see what are their differences.

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ceja TextDistance
1 6
32 3,302
- 0.5%
2.3 6.1
2 months ago 8 days ago
Python Python
MIT License 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.

ceja

Posts with mentions or reviews of ceja. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-01.

TextDistance

Posts with mentions or reviews of TextDistance. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-10.

What are some alternatives?

When comparing ceja and TextDistance you can also consider the following projects:

jellyfish - 🪼 a python library for doing approximate and phonetic matching of strings.

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

fuzzywuzzy - Fuzzy String Matching in Python

textdistance.rs - 🦀📏 Rust library to compare strings (or any sequences). 25+ algorithms, pure Rust, common interface, Unicode support.

Levenshtein - The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity

sparkmagic - Jupyter magics and kernels for working with remote Spark clusters

pydantic - Data validation using Python type hints

Python Left-Right Parser - Python Parser

nider - Python package to add text to images, textures and different backgrounds

HaikunatorPY - Generate Heroku-like random names to use in your python applications

shortuuid - A generator library for concise, unambiguous and URL-safe UUIDs.