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Improvado.io VS NumPy

Compare Improvado.io VS NumPy and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Improvado.io logo Improvado.io

Improvado is an ETL platform that extracts data from 300+ pre-built connectors, transforms it, and seamlessly loads the results to wherever you need them. No more Tedious Manual Work, Errors or Discrepancies. Contact us for a demo.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Improvado.io Landing page
    Landing page //
    2023-08-31

Consolidate all your marketing data in one place to get better business insights. Speed up your decision-making process and quickly implement optimizations without wasting time crunching the data. Real-time reports & dashboards eliminate manual reporting time by 90%. That’s what’ve done before for Ancestry, Asus, AdRoll and we can do it for you. Collaborate effectively with your team, other departments, and stakeholders. No more Tedious Manual Work, Errors or Discrepancies. Book a demo now at improvado.io

  • NumPy Landing page
    Landing page //
    2023-05-13

Improvado.io features and specs

  • Data Extraction and Loading: Integrate and manage data from 300+ sources
  • Data Transformation: Make your marketing data analysis-ready
  • Marketing Common Data Model: Automate cross-channel normalization
  • Professional Services: Yes
  • Managed Services: Managed Data Warehouse
  • Data Synchronization: Yes
  • Managed API: Managed data sources API
  • Data Pipeline Orchestration: Yes
  • Customizable: Yes
  • Customer Support: 24/7
  • Visualizations: Yes
  • Extraction templates: Yes

NumPy features and specs

No features have been listed yet.

Improvado.io videos

+ Add

How to Leverage Data to Drive Massive Revenue - Sponsored by Improvado.io

More videos:

  • Demo - Improvado Demo - ETL for Marketers
  • Demo - Improvado Demo

NumPy videos

+ Add

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

Category Popularity

0-100% (relative to Improvado.io and NumPy)

Improvado.io

NumPy

Marketing
100 100%
Marketing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Integration
100 100%
Data Integration
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Improvado.io and NumPy. For example, how are they different and which one is better?
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Reviews

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

Improvado.io Reviews

Funnel.io Alternatives and Competitors in 2022
The Improvado platform is specifically focused on the marketing dilemma and will connect to any marketing platform you need. The integrations run deep, pulling in granular data from the keyword and ad level, to allow you to see the complete picture. It’s a great tool for marketing analysts, performance marketers, and managers of all levels, who use marketing data on a daily...
Source: improvado.io
15 Best ETL Tools in 2022 (A Complete Updated List)
Improvado is a data analytics software for marketers to help them keep all their data in one place. This marketing ETL platform will allow you to connect marketing API to any visualization tool and for that no need to have technical skills.
Source: www.softwaretestinghelp.com
Top 5 Supermetrics Alternatives – Competitors, Cost, Features & Pricing Model
Improvado has a strong 4.5/5 on G2 with people not complaining much about anything. In cons, the high pricing was mentioned but considered reasonable with the level of support Improvado gives.
Source: windsor.ai
Domo vs Datorama vs Improvado vs Funnel.io vs Supermetrics
The biggest benefit I see for improvado.io is that their customer service reps are included in every package and are highly attentive. They'll help you build out custom dashboards and integrations to ensure that you're visualizing your data in exactly the way you need it.
Source: improvado.io

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.
Source: www.analyticsvidhya.com
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

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 107 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.

Improvado.io mentions (0)

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

NumPy mentions (107)

  • 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 / about 2 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 / about 2 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
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What are some alternatives?

When comparing Improvado.io and NumPy, you can also consider the following products

tray.io - Enterprise-scale integration platform

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

Integrator.io iPaaS by Celigo - Next-Generation iPaaS integration platform

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

Jitterbit - Jitterbit is an open source integration software that helps businesses connect applications, data and systems.

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

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