pandas VS prose

Compare pandas vs prose and see what are their differences.

pandas

Flexible and powerful data analysis / manipulation library for Go+, providing labeled data structures similar to R data.frame objects, statistical functions, and much more (by goplus)
Go Golang gop goplus Data Science data-tech Scientific Computing Pandas Data Analysis
Source Code
goplus.org
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prose

:book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction. (by jdkato)
Natural Language Processing Prose NLP

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pandas prose
1 1
24 2,924
- -
1.8 1.9
almost 4 years ago almost 2 years ago
Go
Apache License 2.0 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.

pandas

Posts with mentions or reviews of pandas. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-27.

prose

Posts with mentions or reviews of prose. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-27.
  • Go+: Go designed for data science
    5 projects | news.ycombinator.com | 27 Mar 2021
    Apart from Gonum[1] numerical libraries, I haven't found specific data science related Go libraries in my search for it for some hobby projects when compared to Python ecosystem.

    Interestingly Prose[2] A Go library for text processing yielded better results for named-entity extraction when compared to NLTK in my tests in terms of accuracy and obviously performance.

    Perhaps Go is not being applied enough in the Data Science/ML and for fields where it's applied (Network) Math in the standard library seems to be sufficient.

    [1] https://github.com/gonum/gonum

    [2] https://github.com/jdkato/prose

What are some alternatives?

When comparing pandas and prose you can also consider the following projects:

gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more

gse - Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

go-i18n - Translate your Go program into multiple languages.

gophernotes - The Go kernel for Jupyter notebooks and nteract.

textcat - A Go package for n-gram based text categorization, with support for utf-8 and raw text

spx - spx - A Scratch Compatible Go/Go+ 2D Game Engine for STEM education

porter2 - High Performance Porter2 Stemmer

igop - The Go/Go+ Interpreter

gojieba - "结巴"中文分词的Golang版本

gop - The Go+ programming language is designed for engineering, STEM education, and data science

go-mystem - CGo bindings to Yandex.Mystem

pandas vs gonum prose vs gse pandas vs AWS Data Wrangler prose vs go-i18n pandas vs gophernotes prose vs textcat pandas vs spx prose vs porter2 pandas vs igop prose vs gojieba pandas vs gop prose vs go-mystem