marked VS Pandas

Compare marked vs Pandas and see what are their differences.

marked

A markdown parser and compiler. Built for speed. (by markedjs)

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more (by pandas-dev)
Our great sponsors
  • Nanos - Run Linux Software Faster and Safer than Linux with Unikernels
  • Scout APM - A developer's best friend. Try free for 14-days
  • SaaSHub - Software Alternatives and Reviews
marked Pandas
23 123
26,434 31,817
1.1% 0.9%
9.4 10.0
5 days ago 6 days ago
JavaScript Python
GNU General Public License v3.0 or later 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.

marked

Posts with mentions or reviews of marked. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-02.

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 2021-12-02.

What are some alternatives?

When comparing marked and Pandas you can also consider the following projects:

Cubes - Light-weight Python OLAP framework for multi-dimensional data analysis

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

markdown-it - Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed

remark - remark is a popular tool that transforms markdown with plugins. These plugins can inspect and change your markup. You can use remark on the server, the client, CLIs, deno, etc.

Dask - Parallel computing with task scheduling

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

NumPy - The fundamental package for scientific computing with Python.

SymPy - A computer algebra system written in pure Python

blaze - NumPy and Pandas interface to Big Data

pyexcel - Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files

SciPy - SciPy library main repository

astropy - Repository for the Astropy core package