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Analyzed 1 day ago. based on code collected 2 days 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

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

Python
96%
8 Other
4%

30 Day Summary

Mar 11 2024 — Apr 10 2024

12 Month Summary

Apr 10 2023 — Apr 10 2024
  • 2645 Commits
    Down -129 (4%) from previous 12 months
  • 394 Contributors
    Down -5 (1%) from previous 12 months

Ratings

16 users rate this project:
4.9375
   
4.9/5.0
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