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Pandas VS Turi GraphLab Create

Compare Pandas VS Turi GraphLab Create 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.

Turi GraphLab Create logo Turi GraphLab Create

GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Turi GraphLab Create Landing page
    Landing page //
    2023-09-12

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.

Turi GraphLab Create features and specs

  • Ease of Use
    GraphLab Create provides a user-friendly API that makes it accessible for both beginners and experienced data scientists. This ease of use can significantly speed up the development and deployment of machine learning models.
  • Scalability
    One of the key strengths of GraphLab Create is its scalability. The platform is designed to handle large datasets and complex computations efficiently, which makes it suitable for enterprise-level applications.
  • Integrated Toolset
    GraphLab Create offers a comprehensive suite of tools for data manipulation, machine learning, graph analytics, and more. This integrated approach can save time and effort by reducing the need for multiple software solutions.
  • Graph Processing Capabilities
    The platform excels at graph-based computations, which are increasingly important in areas like social network analysis and recommendation systems. Its native handling of graph structures provides a distinct advantage over other ML tools.
  • Python Integration
    GraphLab Create is built to work seamlessly with Python, the most popular programming language in data science. This ensures that users can leverage existing Python libraries and codebases.

Possible disadvantages of Turi GraphLab Create

  • Cost
    GraphLab Create can be expensive, especially for small businesses or individual developers. The cost might be prohibitive for some, particularly when compared to free or open-source alternatives.
  • Limited Community Support
    Unlike more popular platforms like TensorFlow or PyTorch, GraphLab Create has a smaller user community. This can make it harder to find answers to specific questions or issues, which can slow down development.
  • Proprietary Software
    As a proprietary tool, GraphLab Create might not be as transparent as open-source alternatives. Users might find limitations in customization and may have concerns about vendor lock-in.
  • Less Frequent Updates
    The platform does not receive updates as frequently as some of its open-source competitors. This can lead to slower adoption of new methods and technologies in the rapidly evolving field of machine learning.
  • Learning Curve for Complex Features
    While the basic functionalities are quite user-friendly, some of the more advanced features and configurations can have a steep learning curve. This might require additional time and resources to fully understand and utilize.

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

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

Turi GraphLab Create videos

No Turi GraphLab Create videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Pandas and Turi GraphLab Create)

Pandas

Turi GraphLab Create

Data Science And Machine Learning
76 76%
Data Science And Machine Learning
24% 24
Data Science Tools
71 71%
Data Science Tools
29% 29
Python Tools
65 65%
Python Tools
35% 35
Data Dashboard
100 100%
Data Dashboard
0% 0

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 Turi GraphLab Create

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

Turi GraphLab Create Reviews

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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 / 1 day 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 / 17 days 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 / 21 days 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 / 8 months ago
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Turi GraphLab Create mentions (0)

We have not tracked any mentions of Turi GraphLab Create yet. Tracking of Turi GraphLab Create recommendations started around Mar 2021.

What are some alternatives?

When comparing Pandas and Turi GraphLab Create, you can also consider the following products

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

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

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

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

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