Need advice about which tool to choose?Ask the StackShare community!

Anaconda

392
430
+ 1
0
Dask

87
126
+ 1
0
Add tool

Anaconda vs Dask: What are the differences?

Anaconda: The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders. 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; Dask: A flexible library for parallel computing in Python. It is a versatile tool that supports a variety of workloads. It is composed of two parts: Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads Big Data collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of dynamic task schedulers. .

Anaconda and Dask can be categorized as "Data Science" tools.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More

What is Anaconda?

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.

What is Dask?

It is a versatile tool that supports a variety of workloads. It is composed of two parts: Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. Big Data collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of dynamic task schedulers.

Need advice about which tool to choose?Ask the StackShare community!

Jobs that mention Anaconda and Dask as a desired skillset
CBRE
Philippines National Capital Region Makati City
CBRE
United Kingdom of Great Britain and Northern Ireland England London
CBRE
Philippines National Capital Region Makati City
What companies use Anaconda?
What companies use Dask?
See which teams inside your own company are using Anaconda or Dask.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Anaconda?
What tools integrate with Dask?

Sign up to get full access to all the tool integrationsMake informed product decisions

What are some alternatives to Anaconda and Dask?
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
PyCharm
PyCharm’s smart code editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template languages and more. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes!
pip
It is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
See all alternatives