Software Alternatives, Accelerators & Startups

NumPy VS Outreach

Compare NumPy VS Outreach and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Outreach logo Outreach

Outreach Is Your Sales Communication Platform
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Outreach Landing page
    Landing page //
    2023-10-11

Outreach

$ Details
-
Release Date
2014 January
Startup details
Country
United States
State
Washington
City
Seattle
Founder(s)
Andrew Kinzer
Employees
500 - 999

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Outreach videos

Using Outreach.io For Outbound Marketing

More videos:

  • Review - Outreach Review & Play
  • Review - Outreach for Sales Development

Category Popularity

0-100% (relative to NumPy and Outreach)
Data Science And Machine Learning
CRM
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Email Productivity
0 0%
100% 100

User comments

Share your experience with using NumPy and Outreach. 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 NumPy and Outreach

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Outreach Reviews

The 6 Best Calendly Alternatives in 2022 (Free & Paid Options)
Note: much the same as with Salesloft, it can be tempting to use Outreach’s calendar functionality if you’re already on the platform, but bear in mind that as a secondary feature built on top of the platform, it lacks the complexity needed for advanced teams.

Social recommendations and mentions

Based on our record, NumPy should be more popular than Outreach. It has been mentiond 110 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.

NumPy mentions (110)

  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 2 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 4 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
View more

Outreach mentions (13)

  • Solving the argument between Calling vs Email outreach
    Theres tons of tools to make the email personalizing faster. I.e lavender autobound.ai etc. And sequences like outreach.io / salesloft. Source: 12 months ago
  • Advice
    A solid playbook for automating emails is using a sequencing tool like outreach.io and email writer like autobound.ai. Outreach manages the sending/replying/organizing and Autobound manages the actual content of the emails. Theres other products out there for this as well, these are just two that come to mind. Source: 12 months ago
  • I'm an SDR with a very low connection rate on the phones: i'm literally considering getting a part time job at call centre, perhaps crisis intervention
    Using outreach.io? Then free trial https://www.orum.com/ and power dial your way to call heaven. Source: over 1 year ago
  • Outreach.io
    Can you buy your own subscription to outreach.io and then pass the certification on your own? You might not need your employer's help. Source: over 1 year ago
  • AE Does Not Want Me to Prospect
    I do not have it, sorry! A lot of times I am very ADD with my sales self-study, and the video was tied to an outreach.io ad for content. Source: almost 2 years ago
View more

What are some alternatives?

When comparing NumPy and Outreach, you can also consider the following products

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

SalesLoft - The simpliest way to build the most accurate and targeted lists of leads on the internet

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

Yesware - Sell smarter with email tracking and more

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

Mixmax - At Mixmax, our mission is to change how the world communicates. We’re an email productivity platform that helps sales, customer success, and recruiting teams do their jobs better.