Software Alternatives, Accelerators & Startups

Pandas VS Runn

Compare Pandas VS Runn and see what are their differences

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Pandas logo Pandas

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

Runn logo Runn

Runn is a real-time resource management platform with integrated time tracking and forecasting. Intuitively plan projects and schedule resources across the short and long term.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Runn Landing page
    Landing page //
    2023-05-05

Runn is a real-time resource management platform with integrated time tracking and forecasting. Intuitively plan projects and schedule resources across the short and long term. Get a dynamic bird's-eye view of capacity, workload and availability as you plan. Track project budgets and view forecasts of key metrics. Use Runn's timesheets to monitor progress and compare plans with actuals. Integrate with Harvest, WorkflowMax, and Clockify. Use the API to connect your favourite tools with Runn.

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.

Runn features and specs

  • User-Friendly Interface
    Runn offers an intuitive and easy-to-navigate interface, making it accessible for teams with varying levels of technical proficiency.
  • Real-Time Forecasting
    The platform provides real-time forecasting tools that help teams anticipate resource needs and project outcomes effectively.
  • Integration Capabilities
    Runn integrates with various third-party tools and applications, enhancing its functionality and allowing for seamless workflow across different platforms.
  • Resource Management
    Runn has robust features for managing resources, ensuring optimal allocation, and utilization across projects.
  • Visual Planning Tools
    The platform includes visual planning tools that provide a clear and comprehensive view of projects, timelines, and resource allocations.

Possible disadvantages of Runn

  • Limited Customization
    Some users might find Runn's customization options limited compared to more specialized tools.
  • Pricing
    Runn might be on the pricier side for small businesses or startups with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, some users may experience an initial learning curve, particularly if they are used to more simplistic tools.
  • Feature Overlap
    Organizations already using similar tools might find some feature overlap, making Runn less essential for their workflow.
  • Scalability Issues
    There might be limitations in scalability for very large enterprises with complex project management needs.

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

Runn videos

Best Resource Management Software | Runn

More videos:

  • Review - Review 🏃Smart Treadmill Runn Smart Treadmill Sensor from North Pole Engineering Review/ Setup
  • Review - ZWIFT RUNNING: HANDS-ON THE RUNN SMART TREADMILL SENSOR
  • Review - Runn Smart Treadmill Sensor | Product Review

Category Popularity

0-100% (relative to Pandas and Runn)
Data Science And Machine Learning
Project Management
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Resource Scheduling
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 Runn

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

Runn Reviews

14 Best Wrike Alternatives For Project Management In 2022
Runn is a great resource planning and forecasting software that helps teams stay on-track with all projects and progress. From a resourcing and scheduling perspective, Runn helps teams quickly schedule work for the larger team, and immediately see how it impacts your timeline, budget, and more. From a PM view, Runn lets teams not only schedule projects, but also track phases...
Source: hive.com

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than Runn. While we know about 219 links to Pandas, we've tracked only 2 mentions of Runn. 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 / 24 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 / 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 / 9 months ago
View more

Runn mentions (2)

  • How to show multiple projects' timeline/roadmap with team-member allocation in the same view?
    Have a look at resource management softwares e.g. runn.io. Source: almost 3 years ago
  • Job Salary Compared to Experience (IT Version)
    If you're not comparing epeen size and actually are interested I'd check runn.io for their transparent salary guide which I find quite accurate. Great company and great people. Source: over 3 years ago

What are some alternatives?

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

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

teamdeck - Teamdeck is a SaaS resource management tool with resource scheduling, leave management, time tracking and timesheet, and customizable reports features. Selected by Hill-Knowlton, Stormind Games, Wunderman Thompson. $3.60/per member.

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

Hub Planner - Transparent Resource Scheduling, Timesheets, Vacation, Resource Requesting, Project Management & powerful Reports in an agile designed, feasible & intuitive software for simple planning

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

Saviom - Saviom develops and provides Resource & Workforce Management software that help firms to improve resource allocation & staff utilization.