open-source-data-science | open source tools used by the data community
kandi X-RAY | open-source-data-science Summary
kandi X-RAY | open-source-data-science Summary
open-source-data-science is a CSS library. open-source-data-science has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
Generally speaking, I cringe whenever someone asks me "what tools do you use?" because I have found that tools tend to limit one’s thinking on how to solve a problem. As the [saying goes] But the fact of the matter is that many people are not aware of the vast array of open source tools that they have at their disposal when facing data science problems---myself included! The goal of this project is to build awareness of the most important tools, packages, programs, etc in a manner that is as accessible as possible to the data science community. I’m putting this on github with the explicit intent to have the community propose other tools or other forms of organization that are useful. The idea for this project originally came from a conversation I had with a coworker and how difficult it is for data science n00bs to understand how all these tools come together. This project is an attempt to address that need.
Generally speaking, I cringe whenever someone asks me "what tools do you use?" because I have found that tools tend to limit one’s thinking on how to solve a problem. As the [saying goes] But the fact of the matter is that many people are not aware of the vast array of open source tools that they have at their disposal when facing data science problems---myself included! The goal of this project is to build awareness of the most important tools, packages, programs, etc in a manner that is as accessible as possible to the data science community. I’m putting this on github with the explicit intent to have the community propose other tools or other forms of organization that are useful. The idea for this project originally came from a conversation I had with a coworker and how difficult it is for data science n00bs to understand how all these tools come together. This project is an attempt to address that need.
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Quality
Security
License
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Support
open-source-data-science has a low active ecosystem.
It has 48 star(s) with 9 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 5 open issues and 5 have been closed. On average issues are closed in 155 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of open-source-data-science is current.
Quality
open-source-data-science has no bugs reported.
Security
open-source-data-science has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
open-source-data-science does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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open-source-data-science releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of open-source-data-science
open-source-data-science Key Features
No Key Features are available at this moment for open-source-data-science.
open-source-data-science Examples and Code Snippets
No Code Snippets are available at this moment for open-source-data-science.
Community Discussions
No Community Discussions are available at this moment for open-source-data-science.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install open-source-data-science
You can download it from GitHub.
Support
This presentation is hosted via Github Pages and is intended to evolve over time as more tools become available and the landscape of open source tools changes. The goal here is not necessarily to include every available tool under the sun --- there are far too many for that --- but rather to identify a set of core tools that data scientists find most relevant and useful. Packages, frameworks, and tools are likely to be added and removed as their importance and relevance ebbs, but the intent is to keep this repository up to date.
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