Software Alternatives, Accelerators & Startups

Pandas VS CircleCI

Compare Pandas VS CircleCI and see what are their differences

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

CircleCI logo CircleCI

CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • CircleCI Landing page
    Landing page //
    2023-10-05

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

CircleCI videos

CircleCI Part 1: Introduction to Unit Testing and Continuous Integration

More videos:

  • Tutorial - How To Setup CircleCI On Your Next Project (Vue, React, or Angular)

Category Popularity

0-100% (relative to Pandas and CircleCI)
Data Science And Machine Learning
Continuous Integration
0 0%
100% 100
Data Science Tools
100 100%
0% 0
DevOps Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Pandas and CircleCI

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

CircleCI Reviews

35+ Of The Best CI/CD Tools: Organized By Category
CircleCI is a complete CI/CD pipeline tool. You can monitor the statuses of your various pipelines from your dashboard. Additionally, CircleCI helps you manage your build logs, access controls, and testing. It’s one of the most popular DevOps and CI/CD platforms in the world.
10 Jenkins Alternatives in 2021 for Developers
CircleCI is generally recognized for its flexibility and compatibility. Customization is obviously an important factor when making the switch from Jenkins and CircleCI certainly takes an impressive swing at providing users with a solid collection of features.
The Best Alternatives to Jenkins for Developers
CircleCI is a flexible tool with easy maintenance and can run in almost any environment. Every commit leads to automatic build execution. To add to it, if any new build is triggered, any queued or running build is automatically canceled.
Continuous Integration. CircleCI vs Travis CI vs Jenkins
Now, when the process of continuous integration is clear (I hope so) we can move to the comparison of some of the most popular CI platforms nowadays. Each of those has its pros and cons. Let’s start with CircleCI.
Source: djangostars.com

Social recommendations and mentions

Based on our record, Pandas should be more popular than CircleCI. It has been mentiond 199 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Pandas mentions (199)

  • The ultimate guide to creating a secure Python package
    It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 12 days ago
  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 30 days ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 24 days ago
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
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CircleCI mentions (62)

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What are some alternatives?

When comparing Pandas and CircleCI, you can also consider the following products

NumPy - NumPy is the fundamental package for scientific computing with Python

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.

OpenCV - OpenCV is the world's biggest computer vision library

Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.