Software Alternatives, Accelerators & Startups

Improvado.io VS SciPy

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

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.

SciPy logo SciPy

SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. 
  • 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

  • SciPy Landing page
    Landing page //
    2023-07-26

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

SciPy features and specs

No features have been listed yet.

Improvado.io videos

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

More videos:

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

SciPy videos

Numerical Computing With NumPy Tutorial | SciPy 2020 | Eric Olsen

More videos:

  • Tutorial - Land on Vector Spaces: Practical Linear Algebra with Python | SciPy 2019 Tutorial | L Barba, T Wang

Category Popularity

0-100% (relative to Improvado.io and SciPy)
Marketing
100 100%
0% 0
Data Science And Machine Learning
Data Integration
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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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 SciPy

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.
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

SciPy 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
SciPy is primarily used for mathematical and scientific computations, but sometimes it can also be used for basic image manipulation and processing tasks using the submodule scipy.ndimage.At the end of the day, images are just multidimensional arrays, SciPy provides a set of functions that are used to operate n-dimensional Numpy operations. SciPy provides some basic image...

Social recommendations and mentions

Based on our record, SciPy seems to be more popular. It has been mentiond 16 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.

SciPy mentions (16)

  • Video Generation with Python
    Python has become a popular programming language for different applications, including data science, artificial intelligence, and web development. But, did you know creating and rendering fully customized videos with Python is also possible? At Stack Builders, we have successfully used Python libraries such as MoviePy, SciPy, and ImageMagick to generate videos with animations, text, and images. In this article, we... - Source: dev.to / 2 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
  • Understanding Cosine Similarity in Python with Scikit-Learn
    SciPy: a library used for scientific and technical computing. It has a function that can calculate the cosine distance, which equals 1 minus the cosine similarity. - Source: dev.to / 11 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
  • 5 Open-Source Deep Learning Python Tools for Imaging Super-Resolution (Article)
    I mean scientific-grade Python libraries like https://pytorch.org https://numpy.org https://scipy.org etc, which exist for about 10 years (your comment may be ok in 2001, but now it's a bit outdated;). Source: over 1 year ago
View more

What are some alternatives?

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

tray.io - Enterprise-scale integration platform

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

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

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

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

Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...