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Continuum Analytics

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40 reviews
  • 1 profiles
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Average star rating
4.4
Serving customers since
2012
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Continuum Analytics Reviews

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Aman A.
AA
Aman A.
Social Media & Content Marketing Specialist | Digital Marketer Operations & Communication Manager | Data Analyst
05/20/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Amazing tool for visualization

Such a helpful tool for visualization and presenting the data in the form of interactive graphs, which help a lot to draw inferences. A lot better then other tools available such poltly
Praveen K.
PK
Praveen K.
Data analyst @ Worxogo | Python|Machine Learning|Statistics|MySql|NLP|Deep Learning
05/18/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

User friendly Library

There are several pre-made interactive plots. The display of plots are in high quality. We can generate the plots with one line of code compared to matplot library. We can also customize the the plot according to the requirement.It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.
Ramakant S.
RS
Ramakant S.
Jr. Data Scientist at Digilytics AI
05/15/2023
Validated Reviewer
Review source: Organic Review from User Profile
Incentivized Review

variety of graphs with faster execution for dashboards

It has amazing interactive graphs with lots of variety. Much fast in loading dashboards and rendering data while hovering on the graph. With pyspark availability, it can handle larger datasets.

About

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HQ Location:
Austin, Texas

Social

@anacondainc

What is Continuum Analytics?

Continuum Analytics, now known as Anaconda, Inc., is a company that specializes in data science and enterprise-grade open-source software. The company is best known for developing Anaconda, a popular open-source distribution of the Python and R programming languages for scientific computing, data science, and machine learning. Anaconda, Inc. offers tools and services for package management, environment management, and deployment, enabling users to easily manage libraries, dependencies, and their entire data science workflows. The company's platform supports a range of analytics tasks and is widely used in both academia and industry.

Details

Year Founded
2012