Software Alternatives, Accelerators & Startups
Register | Login

Pandas VS Frame.io

Compare Pandas VS Frame.io and see what are their differences

Setuply
Setuply: Transform Clients into Brand Advocates. An AI-powered, purpose-built platform for client onboarding and lifecycle management, helping B2B teams accelerate revenue recognition, boost retention, and scale operations with confidence. featured
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.
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.

Frame.io logo Frame.io

Video Post Production Collaboration Software
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Frame.io Landing page
    Landing page //
    2023-08-05

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.

Frame.io features and specs

  • Ease of Use
    Frame.io features a user-friendly interface, making it easy for users to navigate and manage projects efficiently.
  • Real-time Collaboration
    The platform supports real-time collaboration, allowing team members to provide instant feedback and annotations on video clips.
  • Cloud Storage
    Frame.io offers cloud storage, which facilitates easy access and sharing of large media files without the need for physical transfers.
  • Integration with Editing Software
    It integrates seamlessly with popular video editing software like Adobe Premiere Pro, DaVinci Resolve, and Final Cut Pro.
  • Security
    High-level security features including encryption and role-based permissions ensure that sensitive content is protected.
  • Version Control
    The platform allows for easy version control and comparison, making it simple to track changes and improvements over time.

Possible disadvantages of Frame.io

  • Cost
    Frame.io can be expensive for smaller teams or individuals due to its subscription-based pricing model.
  • Storage Limitations
    There are storage limitations based on the subscription plan, which might require purchasing additional space.
  • Internet Dependency
    Since it is a cloud-based service, an unstable Internet connection can hinder the platform's performance, affecting uploads, downloads, and real-time collaboration.
  • Learning Curve
    While generally user-friendly, some features and integrations may require a learning curve for new users.
  • Mobile App Limitations
    The mobile app lacks some functionalities available on the web version, potentially limiting productivity when using mobile devices.

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

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

Frame.io videos

+ Add

Video Collaboration Tools: Frame.io Review!

More videos:

  • Tutorial - How to Use Frame.io - Video Review and Collaboration
  • Review - Collaboration made simple. Frame.IO is INCREDIBLE

Category Popularity

0-100% (relative to Pandas and Frame.io)

Pandas

Frame.io

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
Video
0 0%
Video
100% 100

User comments

Share your experience with using Pandas and Frame.io. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Frame.io Reviews

We have no reviews of Frame.io yet.
Be the first one to post

Social recommendations and mentions

Pandas might be a bit more popular than Frame.io. We know about 219 links to it since March 2021 and only 175 links to Frame.io. 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 / 26 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 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 / 9 months ago
View more

Frame.io mentions (175)

  • Show HN: A ChatGPT for Video Editing
    I confused this with https://frame.io/. - Source: Hacker News / 7 months ago
  • Tools for edit/motion graphics notes?
    Do you use frame.io? You can mark up notes and revisions, and export those as an edl for Resolve and import as markers into Resolve. The use a tool like https://aescripts.com/review-importer/ to import the same comments from frame.io into after effects. Or just use the Frame.io plugin directly inside After Effects too. Source: over 1 year ago
  • Is Frame.io playback glitching for anybody else?
    I never did. I've started sharing cuts with clients a different way and have had to apologize for the glitch. Just tried frame.io today and am still having playback issues. Really frustrating. Source: over 1 year ago
  • taking a leap of faith , quitting my job and taking a chance.
    Easy communication using Trello and Frame.io. Source: over 1 year ago
  • Mass Locate video clips?
    So I do remote editing for my brother's training business. We use frame.io and I always download the proxies (sometimes 80-90 clips) to a folder in my documents folder. Is there any way to make it so that all of the clips can get re-pointed to the new file location instead of doing them all manually?Example. Source: over 1 year ago
View more

What are some alternatives?

When comparing Pandas and Frame.io, you can also consider the following products

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

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.

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

KROCK.IO - Collaborating on a project has never been easier. Run, control & manage every aspect through visual communication with your team and clients. Stay up-to-date with the daily tasks on Krock.io and have the best teamwork experience!

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

Vimeo - Vimeo is a social media app that lets you share and capture videos. You can watch new videos in a variety of different categories, and you can share your own content right from your device. Read more about Vimeo.

Loading...