cndict VS data-named

Compare cndict vs data-named and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
cndict data-named
0 0
10 3
- -
0.0 0.0
over 6 years ago over 4 years ago
Shell Haskell
LicenseRef-PublicDomain BSD 3-clause "New" or "Revised" 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.

cndict

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

We haven't tracked posts mentioning cndict yet.
Tracking mentions began in Dec 2020.

data-named

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

We haven't tracked posts mentioning data-named yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing cndict and data-named you can also consider the following projects:

phonetic-code - phonetic codes in Haskell

crf-chain2-tiers - Second-order, tiered, constrained, linear conditional random fields

minimorph - English spelling functions with an emphasis on simplicity. Originally by https://github.com/kowey.

chatter - A library of Natural Language Processing algorithms for Haskell.

punkt - Unsupervised multilingual sentence segmentation.

concraft-pl - A morphosyntactic tagger for Polish based on conditional random fields

NLP-progress - Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

numerals - Convert numbers to number words

PTQ - An implementation of Montague's PTQ (Proper Treatment of Quantification).