riptable | 64bit multithreaded python data analytics tools for numpy | Data Manipulation library

by rtosholdings Python Version: 1.16.1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | riptable Summary

riptable is a Python library typically used in Utilities, Data Manipulation, Numpy applications. riptable has no bugs, it has no vulnerabilities, it has build file available and it has low support. However riptable has a Non-SPDX License. You can install using 'pip install riptable' or download it from GitHub, PyPI.

All in one, high performance 64 bit python analytics engine for numpy arrays with multithreaded support. Support for Python 3.6, 3.7, 3.8 on 64 bit Linux, Windows, and Mac OS. Enhances or replaces numpy, pandas, and includes high speed cross platform SDS file format. RipTable can often crunch numbers at 1.5x to 10x the speed of numpy or pandas. Maximum speed is achieved through the use of vector instrinsics: hand rolled loops, using AVX-256 with AVX-512 support coming; parallel computing: for large arrays, multiple threads are deployed; recycling: built in array garbage collection; hashing and parallel sorts for core algorithms.

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Quality

Security

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Support

riptable has a low active ecosystem.

It has 332 star(s) with 10 fork(s). There are 13 watchers for this library.

There were 9 major release(s) in the last 6 months.

There are 126 open issues and 68 have been closed. On average issues are closed in 64 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of riptable is 1.16.1

Quality

riptable has 0 bugs and 0 code smells.

Security

riptable has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

riptable code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

riptable has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

riptable releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 66529 lines of code, 4627 functions and 167 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed riptable and discovered the below as its top functions. This is intended to give you an instant insight into riptable implemented functionality, and help decide if they suit your requirements.

Wrapper for ufunc_u .
Create a new result table .
Return a string for autocomplete .
Merge two datasets .
Create a new Dataset .
Apply a function to a dataset .
Merge two datasets .
Merges two datasets .
Creates a join index .
Load sds .

Get all kandi verified functions for this library.

riptable Key Features

No Key Features are available at this moment for riptable.

riptable Examples and Code Snippets

No Code Snippets are available at this moment for riptable.

Community Discussions

Trending Discussions on riptable

Error Deploying Scriptable-Transform in Spring Cloud Data Flow : ParserException

QUESTION

Error Deploying Scriptable-Transform in Spring Cloud Data Flow : ParserException

Asked 2018-Jul-17 at 10:49

I'm trying to construct a stream in spring cloud data flow with kafka-based scriptable transform. I followed the instruction here:
https://docs.spring.io/spring-cloud-stream-app-starters/docs/Celsius.SR2/reference/htmlsingle/#spring-cloud-stream-modules-scriptable-transform

and my stream definition looks like this:

...

ANSWER

Answered 2018-Jul-17 at 10:49

I believe you are referring to the scriptable-transform (not scriptable-transformER) app? Anyway i've tried it and can confirm the issue when using the same transform expression in Skipper mode (expression works as it is in classic mode).

However if you replace the double with single quotes i believe it will resolve the issue. Following pipeline works fine for me with Kafka, Skipper:

Source https://stackoverflow.com/questions/51334706

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install riptable

You can install using 'pip install riptable' or download it from GitHub, PyPI.
You can use riptable like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

RipTable has been public open sourced because it needs more users and contributions to take it to the next level. The RipTable team is confident the engine is the next generation building block for python data analytics computing. We need help from reporting bugs, docs, improved functionality, and new functionality. Please consider a github pull request or email the team. See the contributing guide for more information.

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