2,900 page Manual about Pandas [pdf]

1. rover

   1 4 365 5.2 Ruby

   Simple, powerful data frames for Ruby (by ankane)

   

   For dataframes libraries in Ruby, there are Rover[0] and Daru[1]:

   [0]:https://github.com/ankane/rover

   [1]:https://github.com/SciRuby/daru

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. daru

   2 3 1,049 1.6 Ruby

   Data Analysis in RUby

   

   For dataframes libraries in Ruby, there are Rover[0] and Daru[1]:

   [0]:https://github.com/ankane/rover

   [1]:https://github.com/SciRuby/daru

4. krangl

   3 1 559 6.9 Kotlin

   Discontinued krangl is a {K}otlin DSL for data w{rangl}ing

   > And what's the alternative, Excel?

   Take this with a grain of salt from someone who needs data manipulation occasionally every now and then (as opposed to being a full time number-cruncher, data-scientist, statistician etc.), using krangl[1] for Kotlin has been a great experience.

   I was drawn to this library because I use Kotlin in my dayjob for backend development, but I love how well Kotlin's succinct syntax & features like extension functions lends itself to data transformation & ETL kind of use cases.

   Also it doesn't hurt that JVM has a plethora of libraries available for things like DB access, plotting, etc.

   I am sure that Pandas has many features I am unaware of, and for a lot of people the high-ish startup time can be a deterrant, but for most of my day to day data munging the combination of jbang, krangl & kravis has been a pretty good fit.

   [1] https://github.com/holgerbrandl/krangl

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