- AWS Data Wrangler VS PyAthena
- AWS Data Wrangler VS Optimus
- AWS Data Wrangler VS python-mysql-replication
- AWS Data Wrangler VS ga-extractor
- AWS Data Wrangler VS gonum
- AWS Data Wrangler VS Redash
- AWS Data Wrangler VS zef
- AWS Data Wrangler VS Trapheus
- AWS Data Wrangler VS getting-started
- AWS Data Wrangler VS getting-started
AWS Data Wrangler Alternatives
Similar projects and alternatives to AWS Data Wrangler
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PyAthena
PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
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Optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark (by ironmussa)
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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python-mysql-replication
Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
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gonum
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
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ga-extractor
Tool for extracting Google Analytics data suitable for migrating to other platforms/databases
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Redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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Trapheus
This tool automates restoration of RDS database instances from snapshots into any dev, staging or production environments. It supports individual RDS Snapshot as well as cluster snapshot restore operations.
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getting-started
This repository is a getting started guide to Singer. (by singer-io)
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prose
:book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.
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pandas
Flexible and powerful data analysis / manipulation library for Go+, providing labeled data structures similar to R data.frame objects, statistical functions, and much more (by goplus)
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AWS Data Wrangler reviews and mentions
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Go+: Go designed for data science
Yep, agreed. Go is a great language for AWS Lambda type workflows.
Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution.
Stats
aws/aws-sdk-pandas is an open source project licensed under Apache License 2.0 which is an OSI approved license.