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Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love

Dask Alternatives

The best Dask alternatives based on verified products, votes, reviews and other factors.
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  1. Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

  2. Celery helps innovative companies set up pre-order or custom crowdfunding campaigns anywhere.

  3. Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

  4. Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

  5. Pandas on AWS. Contribute to awslabs/aws-data-wrangler development by creating an account on GitHub.

  6. Application and Data, Build, Test, Deploy, and Testing Frameworks

  7. Luigi is a Python module that helps you build complex pipelines of batch jobs.

  8. Drop comment bubbles anywhere on the screen, on any website.

  9. Beautiful Soup: a library designed for screen-scraping HTML and XML.

  10. Cucumber is a BDD tool for specification of application features and user scenarios in plain text.

  11. Blaze is an application launcher that distinguishes from amongst the others by being able to automate recurrent tasks performed in the file-system or even any application on Microsoft Windows.

  12. Lambda is a cloud service that Amazon Web Services (AWS) provides, which allows developers to run serverless code.

  13. NumPy is the fundamental package for scientific computing with Python

Dask Reviews

External sources with reviews and comparisons of Dask

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Dask: You can use Dask for Parallel computing via task scheduling. It can also process continuous data streams. Again, this is part of the "Blaze Ecosystem."
Read all Dask reviews →

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This article was published on | Author: | Publisher: SaaSHub
Categories: Databases, Workflow, Workflow Automation