Question 1

What is the source of this data?

Accepted Answer

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

Question 2

How often is the data updated?

Accepted Answer

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

Question 3

What is PyXLL?

Accepted Answer

PyXLL is a powerful Python library that seamlessly integrates Python into Microsoft Excel enabling users to leverage the extensive capabilities of Python within the familiar Excel environment It serves as a bridge between the worlds of Python data analysis and Excel spreadsheet functionalities offering a practical solution for data scientists financial analysts and other professionals who rely heavily on Excel for their work

PyXLL falls under the category of Data Science Tools specifically focusing on enhancing data analysis and manipulation capabilities within Excel By allowing Python code to be executed directly in Excel PyXLL enables users to perform complex data analytics visualization and manipulation tasks with ease Its compatibility with both Python 2 and 3 makes it a versatile tool for a wide range of users within the data science domain

Founded in year PyXLL was created by founder with the goal of bridging the gap between Excel and Python recognizing the need for a seamless integration solution that can empower users to combine the strengths of both platforms The motivation behind PyXLLs development stemmed from the increasing demand for efficient data processing tools that can handle large datasets and perform advanced analytics within a familiar and userfriendly interface like Excel

Currently PyXLL holds a significant market share within the Data Science Tools category with a growing user base across various industries As the demand for streamlined data analysis and visualization tools continues to rise PyXLL is poised for further growth in the future Its unique combination of Pythons robust data processing capabilities and Excels widespread utility positions it as a valuable asset for professionals looking to enhance their data science workflows

Question 4

How to get an updated list of companies that use PyXLL?

Accepted Answer

You can access an updated list of companies using PyXLL by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

Question 5

How many customers does PyXLL have?

Accepted Answer

As of now, we have data on 26 companies that use PyXLL.

Question 6

In which countries PyXLL is used the most?

Accepted Answer

Based on our data, PyXLL is most popular in United States (10 companies), United Kingdom (5 companies), Canada (2 companies). However, it is used by companies all over the world.

Question 7

How to find companies that use PyXLL?

Accepted Answer

You can find companies using PyXLL by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

Companies that use PyXLL

How to target PyXLL users

PyXLL alternatives and competitors

Grafana

Mode

Pandas

NumPy

PySpark

Qlik

Einblick

Neo4j

Shiny

Metabase

i-DOCS

Tableau Desktop

Dataiku

Superset

Dask

Splunk Enterprise

KNIME

Chart.Js

Tableau Prep

Celonis

Denodo

Brancher

Weave

Hue

Charted

i-net

SAS Visual Analytics

Oracle Business Intelligence Enterprise Edition

Redash

Bokeh

Pentaho Data Integration

erwin Data Modeler

Tableau Online

Data Miner

SAS/Graph

Metaflow

Deck.gl

D3js

Analytica

Facette

BigPicture

Elastic Kibana

Burt

Piktochart

Tableau Public

Kumu

amCharts

Enso

SAS Data Integration Studio

Gephi

PyXLL customers by country

United States

United Kingdom

Canada

What is the source of this data?

What is the source of this data?

How often is the data updated?

How often is the data updated?

What is PyXLL?

What is PyXLL?

How to get an updated list of companies that use PyXLL?

How to get an updated list of companies that use PyXLL?

How many customers does PyXLL have?

How many customers does PyXLL have?

In which countries PyXLL is used the most?

In which countries PyXLL is used the most?

How to find companies that use PyXLL?

How to find companies that use PyXLL?