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A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
1,162
companies
We have data on 1,162 companies that use Anaconda. Our Anaconda customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
Anaconda | United States | Retail | 500 | $42M |
ASCENDUM MAQUINARIA SAU | Spain | 170 | ||
Town Pump | United States | Retail | 770 | $250M |
State of Montana | United States | Government Administration | 2.9K | $9.3M |
General Dynamics Information Technology | United States | It Services And It Consulting | 103K | $7.9B |
Buchanan & Edwards | United States | Government Administration | 501 | $130M |
Aware Inc. | United States | Civic And Social Organizations | 11 | $21M |
Onyx Point, Inc. | United States | It Services And It Consulting | 38 | $6.6M |
Illuminate Mission Solutions | United States | Defense And Space Manufacturing | 240 | $75M |
Sunnybrook Health Sciences Centre | Canada | Hospitals And Health Care | 12K | $1B |
BT Group | United Kingdom | Telecommunications | 78K | $23B |
Carelon Global Solutions | United States | Insurance Carriers | 13K |
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Technoloy Usage Stadistics and Market Share
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Anaconda is used in 35 countries
Frequently asked questions
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.
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.
Anaconda is a popular open-source distribution of the Python and R programming languages used for data science, machine learning, and artificial intelligence. It comes pre-installed with various packages and libraries essential for data analysis, making it a go-to tool for data scientists, researchers, and developers. Anaconda provides a user-friendly platform to create, share, and manage data science and machine learning projects efficiently.
Anaconda falls under the category of Data Science Tools, catering to the needs of professionals working in data analytics and machine learning fields. It offers a comprehensive suite of tools, including Jupyter notebooks, NumPy, pandas, and scikit-learn, enabling users to perform data manipulation, analysis, visualization, and modeling seamlessly. With its extensive library support and robust development environment, Anaconda enhances productivity and accelerates the data science workflow.
Founded in 2012 by Continuum Analytics (now Anaconda, Inc.), Anaconda was created with the aim of simplifying the installation and management of data science dependencies. Continuum Analytics wanted to address the challenges faced by users in setting up the necessary tools and libraries for data analysis, thereby streamlining the process and fostering collaboration within the data science community.
Currently, Anaconda enjoys a significant market share within the Data Science Tools category, owing to its user-friendly interface, extensive package support, and robust performance capabilities. With the increasing demand for data-driven insights in various industries, the adoption of Anaconda is expected to grow in the future. As organizations continue to invest in data science and machine learning initiatives, Anaconda is likely to witness a surge in its market share, further solidifying its position as a leading platform for data analytics.
Anaconda is a widely-used platform in the realm of Data Science Tools, providing companies with a comprehensive solution for managing data, conducting analysis, and implementing machine learning models. Its popularity stems from the array of benefits it offers, making it a preferred choice for businesses looking to streamline their data processes efficiently.
Anaconda simplifies package management by offering a vast library of pre-built packages and dependencies, ensuring smooth integration and eliminating compatibility issues. Unlike manual installation methods, Anaconda's package manager enables users to effortlessly install, update, and manage packages, saving time and reducing the risk of errors.
With Anaconda, companies can create isolated environments for different projects, preventing conflicts between dependencies and versions. This feature enhances reproducibility and streamlines collaboration among teams, as each environment encapsulates the exact software configuration required for a specific task.
Anaconda boasts a rich collection of data science libraries and tools, such as NumPy, pandas, and scikit-learn, simplifying the development of complex analytical models. This extensive support enables companies to leverage a diverse range of functionalities without the need to search for and install separate libraries independently.
Anaconda's optimization for performance-critical tasks allows companies to execute computationally intensive operations efficiently, leveraging advanced capabilities like parallel processing and GPU acceleration. This scalability ensures that data processes can handle large volumes of information without compromising speed or accuracy.
Anaconda offers an intuitive interface and extensive documentation, making it accessible to both novice and experienced users. Its user-friendly design simplifies the learning curve for new adopters, enabling companies to onboard employees quickly and maximize the platform's capabilities without extensive training requirements.
Anaconda is a popular choice among various companies for its comprehensive data science tools and libraries. Let's delve into some real-world case studies of companies utilizing Anaconda to enhance their data analysis and machine learning capabilities:
1. IBM
IBM, a global technology and innovation company, incorporates Anaconda into its data science workflow to streamline model development and deployment processes. By leveraging Anaconda's extensive package management and environment creation features, IBM's data scientists can efficiently build and deploy scalable machine learning models across various projects. IBM started using Anaconda in 2017 to standardize their data science toolkit and enhance collaboration among team members.
2. Spotify
Spotify, the renowned music streaming platform, relies on Anaconda for its data exploration and analysis tasks. With Anaconda, Spotify's data analysts and scientists can easily access and utilize a wide range of data science libraries and tools for extracting valuable insights from user behavior data. Since adopting Anaconda in 2016, Spotify has seen significant improvements in data processing efficiency and model development speed.
3. Capital One
Capital One, a leading financial services provider, harnesses the power of Anaconda for its predictive analytics and risk assessment strategies. Anaconda enables Capital One's data science team to build and deploy complex machine learning models for credit scoring and fraud detection with ease. Capital One integrated Anaconda into its data science pipeline in 2015, empowering analysts to leverage advanced analytics techniques effectively.
These case studies demonstrate how prominent companies such as IBM, Spotify, and Capital One leverage Anaconda's data science tools to drive innovation, enhance decision-making processes, and achieve tangible business outcomes. By incorporating Anaconda into their workflows, these companies have unlocked new possibilities in data analysis, predictive modeling, and machine learning.
You can access an updated list of companies using Anaconda by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 1,162 companies that use Anaconda.
Anaconda is used by a diverse range of organizations across various industries, including "Retail", "Retail", "Government Administration", "It Services And It Consulting", "Government Administration", "Civic And Social Organizations", "It Services And It Consulting", "Defense And Space Manufacturing", "Hospitals And Health Care". For a comprehensive list of all industries utilizing Anaconda, please visit TheirStack.com.
Some of the companies that use Anaconda include Anaconda, ASCENDUM MAQUINARIA SAU, Town Pump, State of Montana, General Dynamics Information Technology, Buchanan & Edwards, Aware Inc., Onyx Point, Inc., Illuminate Mission Solutions, Sunnybrook Health Sciences Centre and many more. You can find a complete list of 1,162 companies that use Anaconda on TheirStack.com.
Based on our data, Anaconda is most popular in United States (526 companies), United Kingdom (68 companies), France (44 companies), India (33 companies), Canada (31 companies), Spain (28 companies), Germany (27 companies), Singapore (18 companies), Australia (11 companies), Brazil (10 companies). However, it is used by companies all over the world.
You can find companies using Anaconda 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.
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