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Pandas VS Confluence

Compare Pandas VS Confluence and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Pandas logo Pandas

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

Confluence logo Confluence

Confluence is content collaboration software that changes how modern teams work
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Confluence Landing page
    Landing page //
    2024-08-12

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

Confluence features and specs

  • Integration with Atlassian Ecosystem
    Confluence integrates seamlessly with other Atlassian products like Jira, Bitbucket, and Trello, making it an excellent choice for teams already using these tools.
  • Real-time Collaboration
    Confluence offers real-time collaboration features, including editing, commenting, and task assignments, which enhance team productivity and communication.
  • Document Management
    With version control, easy-to-use templates, and a robust search function, Confluence excels in document management and organization.
  • Customization Options
    It provides numerous customization options including themes, templates, and plugins to suit the specific needs of different teams and projects.
  • Enterprise-Grade Security
    Confluence offers advanced security features such as data encryption, user permissions, and compliance with industry standards, making it suitable for enterprises.

Possible disadvantages of Confluence

  • Complexity for New Users
    The abundance of features can make Confluence overwhelming for new users, creating a steep learning curve.
  • Cost
    Confluence can be expensive, particularly for larger teams or when advanced features and additional plugins are required.
  • Performance Issues
    Users have reported performance issues, such as slow load times, especially with large documents or extensive use of add-ons.
  • Customization Can Be Time-Consuming
    While customization is a strength, it can also be time-consuming to set up and maintain, particularly for non-technical users.
  • Limited Offline Access
    Confluence's functionality is limited without an internet connection, which can be a drawback for teams needing constant access to documents and collaboration tools.

Analysis of Pandas

Overall verdict

  • Pandas is highly recommended for tasks involving data manipulation and analysis, especially for those working with tabular data. Its efficiency and ease of use make it a staple in the data science toolkit.

Why this product is good

  • Pandas is widely considered a good library for data manipulation and analysis due to its powerful data structures, like DataFrames and Series, which make it easy to work with structured data. It provides a wide array of functions for data cleaning, transformation, and aggregation, which are essential tasks in data analysis. Furthermore, Pandas seamlessly integrates with other libraries in the Python ecosystem, making it a versatile tool for data scientists and analysts. Its extensive documentation and strong community support also contribute to its reputation as a reliable tool for data analysis tasks.

Recommended for

    Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.

Analysis of Confluence

Overall verdict

  • Confluence is generally considered a good option for teams seeking a comprehensive collaboration and documentation platform. Its strengths lie in its integration capabilities, customization options, and user-friendly interface. However, for smaller teams or those with simpler needs, it may be more complex and feature-rich than necessary.

Why this product is good

  • Confluence by Atlassian is a popular collaboration tool known for its robust features that facilitate team communication, documentation, and project management. It integrates seamlessly with other Atlassian products like Jira, making it an excellent choice for software development teams. Its flexibility allows users to create and organize content using customizable templates and spaces, supporting both structured and unstructured data. Additionally, Confluence offers a range of plug-ins and integration options, enhancing its functionality even further.

Recommended for

    Confluence is particularly recommended for medium to large-sized organizations, software development teams, and businesses that utilize other Atlassian products. It's ideal for groups that require advanced documentation features, seamless integrations, and strong collaboration tools to optimize their workflows.

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

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

Confluence videos

+ Add

Confluence Cloud Product Demo 2019

More videos:

  • Demo - Atlassian Confluence Demonstration Video
  • Review - (2016) Introduction to Confluence: Create, share, and collaborate on projects in one place

Category Popularity

0-100% (relative to Pandas and Confluence)

Pandas

Confluence

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Project Management
0 0%
Project Management
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Task Management
0 0%
Task Management
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 Confluence

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

Confluence Reviews

Top 10 Notion Alternatives for 2025 and Why Teams Are Choosing Ledger
Confluence is great for documentation-heavy teams, especially when paired with other Atlassian products like Jira. But as a standalone collaboration tool, it lacks the fluidity and connected workflows that many modern teams need.
Source: www.ledgerteams.com
11 Popular Knowledge Management Tools to Consider in 2025 
Confluence is a web-based collaboration tool developed by Atlassian. It allows teams to create, store, and organize information in one place. This can include project documentation, meeting notes, how-to guides, and company policies.
Source: knowmax.ai
Best Gitbook Alternatives You Need to Try in 2023
Confluence is a collaboration tool from Atlassian that focuses on remote-ready teams that need to organize content. It has a built-in editor and allows for version control, making it easy to track changes and collaborate with team members. Confluence also has a wide range of templates and add-ons available, allowing users to add all types of documents for a knowledge base....
Source: www.archbee.com
Best 25 Software Documentation Tools 2023
Confluence is the perfect way to collaborate with your team. Is a web-based team collaboration and documentation tool. It helps teams work together, share information and create documentation in a centralized and organized manner. It's a platform that allows the team to create, edit, and organize content such as documents, pages, blogs and multimedia.
Source: www.uphint.com
Introduction to Doxygen Alternatives In 2021
Confluence is a tool in the innovation stack category of project management. In Confluence, it is easy to capture the details which is often lost in email inboxes and shared network drives due to the fact that it is easy to browse, update, as well as use.
Source: www.webku.net

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 219 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 (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / about 2 months ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 2 months ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 2 months ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 10 months ago
View more

Confluence mentions (0)

We have not tracked any mentions of Confluence yet. Tracking of Confluence recommendations started around Mar 2021.

What are some alternatives?

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

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

Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.

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

Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.

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

Slack - A messaging app for teams who see through the Earth!

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