Go+: Go designed for data science

• AWS Data Wrangler

  9 3,797 9.4 Python

  pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

  

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.

• gophernotes

  10 3,766 3.0 Go

  The Go kernel for Jupyter notebooks and nteract.

  

Why can't you just build libraries to make Go a better language for data science? There's already Go support for a Jupyter Notebooks kernel: https://github.com/gopherdata/gophernotes

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• pandas

  1 24 1.8

  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)

  

• gonum

  24 7,249 8.2 Go

  Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more

  

Apart from Gonum[1] numerical libraries, I haven't found specific data science related Go libraries in my search for it for some hobby projects when compared to Python ecosystem.

Interestingly Prose[2] A Go library for text processing yielded better results for named-entity extraction when compared to NLTK in my tests in terms of accuracy and obviously performance.

Perhaps Go is not being applied enough in the Data Science/ML and for fields where it's applied (Network) Math in the standard library seems to be sufficient.

[1] https://github.com/gonum/gonum

[2] https://github.com/jdkato/prose

• prose

  1 2,924 1.9 Go

  Discontinued :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.

Apart from Gonum[1] numerical libraries, I haven't found specific data science related Go libraries in my search for it for some hobby projects when compared to Python ecosystem.

Interestingly Prose[2] A Go library for text processing yielded better results for named-entity extraction when compared to NLTK in my tests in terms of accuracy and obviously performance.

Perhaps Go is not being applied enough in the Data Science/ML and for fields where it's applied (Network) Math in the standard library seems to be sufficient.

[1] https://github.com/gonum/gonum

[2] https://github.com/jdkato/prose

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

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