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Analyzed about 1 year ago. based on code collected over 1 year ago.

Project Summary

pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.

pandas is well suited for many different kinds of data:

* Tabular data, as in an SQL table or Excel spreadsheet
* Ordered and unordered (not necessarily fixed-frequency) time series data
* Matrix data, potentially with row and column labels
* Any other form of common structured data

Tags

bigdata python statistics

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BSD 3-clause "New" or "Revised" License
Permitted

Commercial Use

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These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Languages?height=75&width=75
Python
92%
HTML
5%
8 Other
3%

30 Day Summary

Sep 9 2019 — Oct 9 2019

12 Month Summary

Oct 9 2018 — Oct 9 2019
  • 2449 Commits
    Up + 333 (15%) from previous 12 months
  • 455 Contributors
    Down -37 (7%) from previous 12 months

Ratings

16 users rate this project:
4.9375
   
4.9/5.0
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