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MyGet VS Tibco Data Science

Compare MyGet VS Tibco Data Science and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

MyGet logo MyGet

MyGet allows you to create and host your own NuGet feed.

Tibco Data Science logo Tibco Data Science

Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...
  • MyGet Landing page
    Landing page //
    2022-10-17
  • Tibco Data Science Landing page
    Landing page //
    2022-10-04

MyGet videos

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MyGet Webinar

More videos:

  • Review - Xavier Decoster and Maarten Belliauw - MyGet
  • Review - Myget is FUN

Tibco Data Science videos

No Tibco Data Science videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to MyGet and Tibco Data Science)

MyGet

Tibco Data Science

Code Coverage
100 100%
Code Coverage
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Development
43 43%
Development
57% 57
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

Share your experience with using MyGet and Tibco Data Science. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare MyGet and Tibco Data Science

MyGet Reviews

Repository Management Tools
With that discussed, let us now take a look at the difference that is observed between MyGet and NuGet. With MyGet, there is a possibility to set up the feed less than 5 seconds and all this can be done without even setting up any of our own infrastructures. There is only one feed per account in NuGet whereas with MyGet you can have multiple feeds per account. It also allows...
Source: mindmajix.com

Tibco Data Science Reviews

Top 7 Predictive Analytics Tools
TIBCO Data Science/Statistica puts the emphasis on usability, with a lot of collaboration and workflow features built into the tool to make business intelligence possible across an organization. This makes it a good choice for a company if they expect lesser-trained staff will use the tool. It also integrates with a wide range of other analytics tools, making it easy to...
Source: www.datamation.com
15 data science tools to consider using in 2021
The development of SAS started in 1966 at North Carolina State University; use of the technology began to grow in the early 1970s, and SAS Institute was founded in 1976 as an independent company. The software was initially built for use by statisticians -- SAS was short for Statistical Analysis System. But, over time, it was expanded to include a broad set of functionality...
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: TIBCO offers an expansive product portfolio for modern BI, descriptive and predictive analytics, and streaming analytics and data science. TIBCO Data Science lets users do data preparation, model building, deployment and monitoring. It also features AutoML, drag-and-drop workflows, and embedded Jupyter Notebooks for sharing reusable modules. Users can run...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, MyGet seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MyGet mentions (1)

Tibco Data Science mentions (0)

We have not tracked any mentions of Tibco Data Science yet. Tracking of Tibco Data Science recommendations started around Mar 2021.

What are some alternatives?

When comparing MyGet and Tibco Data Science, you can also consider the following products

JFrog Xray - JFrog Xray is a universal software composition analysis (SCA) solution that natively integrates with Artifactory

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

DeployHub - DeployHub® is a free, agentless & hosted microservice platform to catalog, publish, version & deploy reusable components.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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