Software Alternatives, Accelerators & Startups

Pandas VS Hive

Compare Pandas VS Hive and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Pandas logo Pandas

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

Hive logo Hive

Seamless project management and collaboration for your team.
Visit Website
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Hive Landing page
    Landing page //
    2021-03-01

Hive is the powerful project management tool built to help teams move faster. Used by teams at Starbucks, Comcast and Toyota, Hive gives teams the ability to manage projects, communicate effectively, and analyze team productivity stats.

The basis of Hive is action cards, which can be organized into projects and collaborated on by several team members. Cards are assigned due dates and subtasks, and can be viewed flexibly in Gantt, Kanban, calendar or table view. Hive also has native chat and a first-of-its-kind email integration, which enables the tool to act as an all-in-one hub for businesses of all sizes, empowering efficiency and innovation.

Hive

Website
hive.com
$ Details
$12.0 / Monthly (Per user)
Platforms
iOS Android Windows Mac OSX Browser
Release Date
2016 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Brett Knutson
Employees
50 - 99

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.

Hive features and specs

  • Free Trial
    14 day free trial
  • Integrations
    Integrates with email, Slack, Dropbox, and more
  • File sharing
    Ability to share files in Hive
  • Easy to Set-up and use
    Simple workspace set up
  • Analytics and Reporting
    Personalized analytics

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

Hive videos

Using Hive As A Leader, Manager, or User

More videos:

  • Review - Hive Review – Compact Project Management Software for Teamwork Optimization

Category Popularity

0-100% (relative to Pandas and Hive)
Data Science And Machine Learning
Project Management
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Productivity
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 Hive

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

Hive Reviews

Top 12 Online Collaboration Tools for Smart Working
Hive ranks among the top online collaboration platforms by consolidating all work-related activities into a unified dashboard. The versatility and accessibility of various project management systems, emphasizing their ease of use and capabilities for organizing tasks and tracking assignments, make Hive a standout choice. Teams can handle tasks, engage in live discussions,...
Source: niftypm.com
25 Best Asana Alternatives & Competitors for Project Management in 2024
Hive provides task management, project planning templates, and time tracking to reflect how you work on a day-to-day basis. Choose from Hive’s thousands of integrations to get the information you need from multiple sources into one centralized location. Users can also create personalized to-do lists and automate their workflow for greater efficiency.
Source: clickup.com
20 Obsidian Alternatives: Top Note-Taking Tools to Consider
Hive comes with multiple ways to view your notes, including Kanban, table, calendar, and portfolio. This project management app also features time-tracking capabilities and collaborative note-taking.
Source: clickup.com
16 Best Asana Alternatives of 2024 (Free + Paid)
Hive is a relatively new Asana alternative that serves businesses of all sizes. It has features that help manage teams, foster collaboration and automate workflows. It’s one of the easier-to-use apps on this list, with accessible and responsible customer service. There’s a template library to help get you started, too. Advanced analytics help with budgeting and users can...
A Jack of All Trades vs Dedicated Workflow Management
It’s a very solid all-rounder, but there is a reason they say a Jack of all trades is a master of none. Hive excels in terms of how much stuff it offers. You really can do all your work from Hive. The biggest selling point is you don’t need to have multiple tabs open in your browser, you can work within the same tab where Hive is loaded in, switching between the menu options...

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than Hive. While we know about 219 links to Pandas, we've tracked only 9 mentions of Hive. 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 / 18 days 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 / about 1 month 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 / about 1 month 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 / 3 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 / 9 months ago
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Hive mentions (9)

  • Best app for a calendar/time block to do list
    I use Hive hive.com , which is also a project management tool. I sync it with my google calendar for work-related things and with my calendar app on iPhone for home/family-related things. Guess I could use just one calendar and use tags, but this system works best for me. What I like about Hive is that I can create a time block right from my task dashboard, the app also let me start notes from a meeting straight... Source: almost 2 years ago
  • ClickUp Release Notes 2.174
    You could check out hive.com. Quite OK, though not as good as ClickUp. But free as a single user. Source: about 2 years ago
  • Project Management Software Recommendation for Creative Agency
    Try out https://hive.com/. We tried it out and it wasn't quite what we needed it for, but it seems great for project management. They even had a desktop app and it was free! Oh an internal chat and email integration too. Source: about 2 years ago
  • Breaking Into Legal Tech
    Make • Build and automate workflows InvoiceBerry • Online invoicing for small businesses Gusto • Payroll, benefits and HR management Hive • Manage tasks, workflows and team’s work Lanva • Social video editing app. ClickUp • Manage tasks, docs, chat, goals and more Plausible • Open-source privacy-friendly web analytics Podcast Hawk • Podcast guest booking software. Writesonic • AI-driven content... Source: over 2 years ago
  • PM tool suggestions for personal use and transferrable skills
    Another pjm-tool for personal use which is worth checking out is Hive. Loads of features for free, even Gantt-charts. And it is possible to export data in xml (in gantt-view). Source: over 2 years ago
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What are some alternatives?

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

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

Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.

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

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.

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

Basecamp - A simple and elegant project management system.