Software Alternatives, Accelerators & Startups
Register | Login

Pandas VS Aviso

Compare Pandas VS Aviso and see what are their differences

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! 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.

Aviso logo Aviso

Aviso provides predictive analytics software to help sales organizations optimize their performance and exceed revenue goals using machine learning algorithms and portfolio management techniques.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Aviso Landing page
    Landing page //
    2023-10-17

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.

Aviso features and specs

  • AI-Driven Insights
    Aviso provides predictive analytics powered by AI, helping sales teams make data-driven decisions and improve forecast accuracy.
  • Comprehensive Sales Platform
    The platform offers a wide range of features including deal management, forecasting, and sales visibility, which can streamline sales processes and increase productivity.
  • Integration Capabilities
    Aviso integrates with various CRM systems and other sales tools, making it easier to incorporate into existing workflows without significant disruption.
  • User-Friendly Interface
    The platform is designed with an intuitive user interface, making it easy for sales teams to adopt and use effectively without extensive training.
  • Enhanced Forecast Accuracy
    Using machine learning, Aviso improves the accuracy of sales forecasts, helping businesses to better plan and allocate resources.

Possible disadvantages of Aviso

  • Cost
    The pricing for Aviso can be high, which might be a barrier for smaller businesses or startups with limited budgets.
  • Complexity
    Due to its wide range of features, there may be a steep learning curve for some users, especially those who are not as tech-savvy.
  • Dependence on Data Quality
    The effectiveness of Aviso's AI-driven insights significantly depends on the quality and quantity of the data provided. Poor data quality can lead to less accurate predictions.
  • Support and Training
    Some users have reported that additional support and training resources are needed to fully leverage all of Aviso's capabilities.

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 Aviso

Overall verdict

  • Aviso is generally regarded as a strong option for businesses looking to enhance their sales forecasting and performance through AI-driven insights. Its positive reputation in the industry speaks to its effectiveness and user satisfaction.

Why this product is good

  • Aviso uses AI-driven tools to help sales teams improve their forecasting accuracy and sales performance. Many users appreciate Aviso for its predictive analytics, user-friendly interface, and insights that help in decision-making processes. It integrates well with existing CRM systems, enhancing functionality without disrupting established workflows.

Recommended for

  • Sales teams looking for enhanced forecasting capabilities
  • Companies seeking AI-driven insights to inform strategic decisions
  • Organizations wanting to integrate additional analytics tools with existing CRM systems

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

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

Aviso videos

+ Add

Review/Crítica "El Aviso" (2018)

More videos:

  • Review - WILO - Week In The Life Of Sales With Aviso AI: Start Of Week [Forecasting & Deal Review]
  • Review - Ben&Ben - Di Ka Sayang (MUSIC REVIEW) // raven aviso

Category Popularity

0-100% (relative to Pandas and Aviso)

Pandas

Aviso

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
CRM
0 0%
CRM
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Sales
0 0%
Sales
100% 100

User comments

Share your experience with using Pandas and Aviso. 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 Aviso

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

Aviso Reviews

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

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 1 month 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 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 / 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

Aviso mentions (0)

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

What are some alternatives?

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

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

Clari - Clari is a predictive analytics platform for sales people.

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

InsightSquared - #1 for Salesforce.com Pipeline forecasting, profitability analysis, activity tracking: all the small business intelligence you need. Works using CRM data and automatic syncing.

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

Forecastio AI - Gain actionable sales pipeline insights, build accurate sales forecasts, automate sales planning, and forget about complex, time-consuming spreadsheets.

Loading...